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sounds like msft teams is vcsy and msft's version of ploinks/puddle?
Microsoft Teams is a comprehensive communication and collaboration platform that combines various features and tools to facilitate teamwork and productivity. It can be broken down into the following main components:
Core functionalities:
Chat: Enables real-time messaging, group conversations, and private chats for direct communication.
Teams: Organizes members into dedicated workspaces, allowing for focused discussions, file sharing, and collaboration on specific projects or topics.
Channels: Subdivisions within Teams, providing dedicated spaces for specific conversations or workstreams, further enhancing organization and focus.
Meetings: Allows for audio and video conferencing, screen sharing, and collaborative whiteboarding for virtual meetings and webinars.
Calls: Offers VoIP calling capabilities for internal and external communication, including audio and video calls.
Integration with Microsoft 365 apps and services:
SharePoint: Provides integrated document storage and collaboration, allowing for seamless access to files and shared resources within Teams.
OneDrive: Enables cloud storage and synchronization of personal files, making them accessible from any device.
Exchange: Integrates with the Exchange email platform for unified communication and access to emails, calendars, and contacts within Teams.
Other Microsoft 365 apps: Seamless integration with other apps like Word, Excel, PowerPoint, OneNote, and Planner for a comprehensive productivity suite.
Additional features:
Apps and integrations: Extends Teams' capabilities with a wide range of third-party apps and integrations, allowing users to customize their workspace and add specific functionalities.
Bots and virtual assistants: Automates tasks and provides information through intelligent bots and virtual assistants integrated within Teams.
AI-powered features: Leverages artificial intelligence for features like intelligent recap, live translations, and noise suppression (available in Teams Premium).
Architecture:
Teams is built on a microservices architecture, using Azure cloud infrastructure for scalability and reliability. It also leverages other Microsoft technologies like Office 365 Groups for identity management and SharePoint for file storage and collaboration.
In essence, Microsoft Teams is a powerful and versatile platform that combines various communication, collaboration, and productivity tools into a unified workspace. It empowers teams to work together seamlessly, regardless of location or time zone, enhancing productivity and fostering a collaborative work environment.
In essence, Microsoft Teams is a powerful and versatile platform that combines various communication, collaboration, and productivity tools into a unified workspace. It empowers teams to work together seamlessly, regardless of location or time zone, enhancing productivity and fostering a collaborative work environment.
-----------this came from gemini.
Sounds like they’re trying to patent their Patents 😱
generative ai patents of 8?:
from justia:
"Patents Assigned to 8x8, Inc.
User configurable data storage
Patent number: 11997148
Abstract: In one or more examples, a method uses a system including data server, a processing circuit, and a data-communications server, with the server being used to route calls in the form of data communications to and from a plurality of telecommunication devices associated with respective user accounts. The server may store data generated by the plurality of telecommunication devices on the data server. The user accounts each have a settings file associated with the user account. In response to a set of criteria indicated in the settings file of one of the user accounts being satisfied, the processing circuit logs into a data server remote to the server may use login credentials included in the settings file. In further response to the set of criteria being satisfied, the processing circuit may copy one or more data files associated with the user account from the data server to the remote data server.
Type: Grant
Filed: August 29, 2022
Date of Patent: May 28, 2024
Assignee: 8x8, Inc.
Inventor: Zhishen Liu
Information security implementations with extended capabilities
Patent number: 11989323
Abstract: Systems, devices or methods provide for control of sensitive data in a computer system that includes at least one central server communicatively-coupled to a plurality of client computers. One particular example is directed to a method involving execution of software code on the at least one central server to monitor data communications of the plurality of client computers for sensitive data. A subset of the data communications is restricted when sensitive data is detected. Configuration data is provided to each of the plurality of client computers. Software code is executed on each of the plurality of client computers to detect accesses to sensitive data by one or more applications running on a client computer. Actions of the one or more applications running on a client computer are monitored to determine whether or not a trigger event has occurred. In response to determining that the trigger event has occurred, a notification is sent.
Type: Grant
Filed: December 2, 2022
Date of Patent: May 21, 2024
Assignee: 8x8, Inc.
Inventor: Mehdi Salour
Computer server configured for data meetings with optional participant-selected call-connecting attributes
Patent number: 11991014
Abstract: Consistent with an embodiment of the present disclosure, a server arrangement provides a web-accessible virtual-meeting interface through which participant identifying information and meeting time information is passed for setting up and establishing a primary meeting. In addition to the primary meeting, various selectable options are provided for one or more participants, including merged audio from the established audio connections to the participants, establishing a secondary meeting and/or automatically moving or reverting connections from/to the primary meeting.
Type: Grant
Filed: February 3, 2023
Date of Patent: May 21, 2024
Assignee: 8x8, Inc.
Inventor: Ramprakash Narayanaswamy
Configuring a virtual assistant based on conversation data in a data-communications server system
Patent number: 11979273
Abstract: In one example, a server system interfaces with a plurality of remotely-situated client entities to provide data communications services. The system uses processing circuitry to access an archive of voice data indicative of transcribed audio conversations between a client station and another station participating via the data communications services. Archived voice data includes keywords associated with at least one intent or at least one topic of the transcribed audio conversations. The system identifies keywords and/or identified contexts in a message (e.g., text-based message) received by a text-based virtual assistant, and correlates the text-based message with at least one intent or at least one topic by matching keywords from the archive of digital voice data with the identified keywords from the text-based message. The system may automatically configure the virtual assistant associated with the remotely-situated client entity to address the received text-based message, based on the correlation.
Type: Grant
Filed: May 27, 2021
Date of Patent: May 7, 2024
Assignee: 8x8, Inc.
Inventors: Bryan R. Martin, Matt Taylor, Manu Muk"
8 patents on user designated treatment of data storage and user designated dynamic dns for the desired service/server.....msft recall and services..which cloud node do you optimally want to use?
me:
mike lynch , formerly of autonomy, inc....part of hp, then microfocus, now opentext. what is mike doing in sf? waiting it out till the texas supreme court stuff is done?
citrix bought by private equity and to be integrated with their ai assets and called tibco.
from google:"TIBCO Software is a software company that provides business integration software to connect, manage, and analyze data from different sources and applications. It offers low-code solutions for creating enterprise applications and has products for implementing SOA, BPM, ESB, and other protocols and systems."
now solutions and canadian revenue service.
business intelligent agent stuff.
ask why usa irs is doing their irs reporting on line now? wags.
agent assistants for clients both human and machine/software?
same as skilled in the arts would understand how to use the various vcsy and 8x8 patents in their systems and methods!!!!!!!!!
emPath...administrative instructions. the generative part is how the information is provided to the client/s in a manner/form/application/context they can apply in their framework of arbitrary objects to do the job/s in the most secure, efficient, safe, economic, fast, etc ways possible to provide the most desired product/tokens.
the above would seem to be at the very core of our future course.
V sleeping
09:27 AM EDT, 06/03/2024 (MT Newswires) -- Rockwell Automation (ROK) said Monday it is expanding its partnership with NVIDIA (NVDA) to support the development of industrial AI mobile robots.
The industrial automation company said that as part of the partnership, initially aimed at increasing AI use in manufacturing, Rockwell will now integrate the NVIDIA Isaac robotics platform into its products, targeting industrial customers seeking to optimize their factory operations.
Rockwell is also working to incorporate NVIDIA Omniverse Cloud application programming interfaces with its Emulate3D software for creating and managing digital twins of production systems, the company added.
Price: 269.14, Change: +11.61, Percent Change: +4.51
Digital twins!
New price target by BoA 1,500. Nvda
venturebeat thinks after rag it's going to be agent based:https://venturebeat.com/ai/from-gen-ai-1-5-to-2-0-moving-from-rag-to-agent-systems/
august 7th or so is the reporting interval for many. and anniversary of such in the life of v and msft licensing?
if, sub money came in 2nd calendar quarter june 31. it would be reported aug time report.
money would be available to get the audit done.....they might have done it but withhold the report until fee is paid?
i hope we see action on the wade txs supreme court before summer recess?
video....windows recall....screen shots every few to keep you in the know, they say.
8 and visual information architecture and opentext/micro focus msft visual studio.
8 and opentext.
V sleeping. Look at BNAI. Brand Engagement. A I Speech software Not telling u to buy
Not only LLM’s now. But LVM’s being downloaded into AI and Quantum computers. Remember where u heard it first. LVM’s LARGE Video Models. Imagine all text data and then all video data ( every video on YouTube +++) to teach, and refine A I into knowing all that we could possibly know. Soon they will surpass all that we know Then what? They kill us all off for being inferior? Stupid? We control the vertical. lol. We control the horizontal. ……..Do not attempt to adjust your t v set.
Same thing. Only different. THUMP!
nvidia and vmware to virtualize it; broadcom infrastructure to transport it, etc. dell very much in there especially now with emc data storage ip. and now the 8 user designated data storage with the potential vcsy special secure space/place? wags. ai and other 3rd party ip to be escorted to devices and such via 8 and programmable apis to comm with the servers and servies. in maybe a blockchain type of connection with contracts embedded?
and v ip is the ip for how to use the 8 puddle patent? for the social network?
i can but harken back to the disappearing annual vip report that was sent and then deleted from your ability to read/see it.
was it just me or was it v?
8 patent for a puddle?
User configurable data storage
Aug 29, 2022 - 8x8, Inc.
In one or more examples, a method uses a system including data server, a processing circuit, and a data-communications server, with the server being used to route calls in the form of data communications to and from a plurality of telecommunication devices associated with respective user accounts. The server may store data generated by the plurality of telecommunication devices on the data server. The user accounts each have a settings file associated with the user account. In response to a set of criteria indicated in the settings file of one of the user accounts being satisfied, the processing circuit logs into a data server remote to the server may use login credentials included in the settings file. In further response to the set of criteria being satisfied, the processing circuit may copy one or more data files associated with the user account from the data server to the remote data server.
Latest 8x8, Inc. Patents:
Information security implementations with extended capabilities
Computer server configured for data meetings with optional participant-selected call-connecting attributes
Configuring a virtual assistant based on conversation data in a data-communications server system
Communications approach and implementations therefor
Delayed replication for protection of replicated databases
Skip to: Description · Claims · References Cited · Patent History · Patent History
Description
FIELD OF THE INVENTION
The present disclosure relates to computing servers and data storage.
OVERVIEW
Computing servers are increasingly being used to provide various services over a network including but not limited to website hosting, remote data storage, remote computing services, virtual computing environments, and communication services (e.g., voice-over-IP (VoIP), video conferencing, call exchange servers, packet switching, and traffic management). For ease of reference, the various applications, systems and services that may be provided by computing servers may be collectively referred to as remote services.
SUMMARY
Aspects of the present disclosure are directed to network applications that address challenges including those discussed above, and are applicable to a variety of applications, devices, systems, and methods. These and other aspects of the present disclosure are exemplified in a number of implementations and applications, some of which are shown in the figures and characterized in the claims section that follows.
In accordance with one or more embodiments, a method uses a data server, a data-communications (e.g., VoIP) server, and a processing circuit. The server routes calls to and from a plurality of telecommunication devices associated with respective user accounts. The server stores data generated by the plurality of telecommunication devices on the data server. The user accounts may each have a settings file associated with the user account. In response to a set of criteria indicated in the settings file of one of the user accounts being satisfied, the processing circuit logs into a second data server that is remote to the server using login credentials included in the settings file. In further response to the set of criteria being satisfied, the processing circuit copies one or more data files associated with the user account from the data server to the remote data server.
Using a computing server, an overall communications system may be used to provide one or more remote services are provided to a user associated with a user account. Data generated by the user of the one or more remote services may be stored on a data server. A set of criteria is indicated in a settings file associated with the user account. In response to the set of criteria being satisfied, a data server remote to the computing server is logged into using login credentials included in the settings file. One or more data files are copied from the data server to the remote data server.
In accordance with one or more embodiments, an apparatus is also disclosed that includes a first data server, a computing server, and a processing circuit. The computing server provides one or more remote services to a user. In response to the user of the one or more remote services generating data, the processing circuit selects one of a set of data servers for storage of the data based on a set of criteria indicated in a settings file associated with the user. The set of data servers includes the first data server and also a second data server that is remote to the computing server.
w11 has task view/manager with allows personalities? already. especially if you're doing browser based work?
chrome/edge/brave..........
i assume same with safari, etc.
me: framework that allows all of this work of government.
"Yes, London boroughs are actively involved in shaping the capital’s future through infrastructure projects and various government functions. Here are some key points:
Infrastructure Framework:
London boroughs recently launched an infrastructure framework to secure the city’s future growth. This framework aims to boost prosperity, reduce inequalities, and achieve net zero across the capital.
For the first time, all 33 local authorities in London have agreed on this cross-party, pan-London basis framework.
The framework identifies major development opportunities, including extending the Bakerloo line and implementing a sewage-powered domestic heating scheme1.
Local Government Functions:
Most local government functions in London are carried out by the borough councils. These councils are responsible for:
Education: Managing local state schools (excluding academies or free schools).
Housing: Owning and maintaining council homes for social rent or affordable housing.
Planning: Approving or denying planning permission for new homes.
Highways: Managing road networks and transportation.
Fire Services: Ensuring fire safety and emergency response.
Social Services: Providing essential services to residents.
Leisure and Recreation: Managing leisure centers and recreational facilities.
Libraries: Overseeing public libraries.
Waste Collection and Disposal: Handling rubbish collection and environmental services.
Environmental Health: Ensuring food safety, pest control, and other health-related services2.
Infrastructure Projects:
The infrastructure framework includes projects like:
Connected London: Delivering full fiber connectivity across the London Underground, preparing for 5G.
Waterloo City Hub: Redesigning the roundabout, roads, and public realm at Waterloo to support growth and improve connectivity.
Bakerloo Line Extension: Proposed extension to support new homes and jobs across the capital1.
In summary, London boroughs actively collaborate to address social, economic, and environmental challenges while working on infrastructure projects that benefit the entire city. If you have more questions or need further information, feel free to ask! 😊
Learn more
apple used the ibm cloud, which then went to the vz cloud, which is on the aws cloud.
softbank partnered with 8 for local server ip for data sovereignty. and a small software not disclosed.
softbank was/is working with vz, voda, china mobile to get 4-5g ip for them and their various channels/partners.
looking at the lineup, aws needs to use a chat app which allows multiple apps to be designated with programmable api. wags.
arbitrary designation of business tranche for oem's/white labelers and 8 , the originator/creator might be the fortune 500 vs non. 8 might not desire to compete with it's provisioned partners?
prior tranche might have been business vs consumer.
but i think the white labeled are violating that arbitrary division of who gets to do what with the ip. perhaps, unless there is some revenue sharing to occur with the consumer/business provisioned entities?
me:
if 8 could capture monetization from the fortune 500 potential customers and the non 500'ers, we could experience a major price move. it's a potential event which might cause the institutional demand to move up. but who is going to sell to allow such at these prices?
me:
parallel computing in the nvidia data center has great potential for being realized. the blackwell device also seems to be capable of taking advantage of the same idea?
president of the 8 board, pal singh, is an expert in parallel computing and blockchain and is faculty at princeton uni.
einstein's uni in usa. add in the potential going forward of quantum computing and big data hybrid data networks .
Link also suggests cybersecurity "is equally as big as AI." She owns Fortinet (FTNT) and hosts Brown and Michael Batnick point to Crowdstrike (CRWD) as best in breed alongside Pal Alto Networks (PANW).
Chief technology officers are spending on two things, says Link, AI and cybersecurity. That spend is coming at the expense of stocks like Salesforce.com (CRM) and other enterprise software companies, she added.
apple rewriting siri as a chat app
apple and gemini ai conversations; google investing 2 billion into malaysian data center
cloud ai and apple china?
need 8 global reach/firewall traversall/networking/dynamic routing/authentication?
https://finance.yahoo.com/news/apple-plans-ai-based-siri-204500220.html
8 and v ip? 8 virtual office accomodate msft outlook and g calendar.......also, apple and openai, which is a 8 integration partner..
apple is also talking to g gemini for ai.
Yep. It sounds like they’ll need a lot of API’s and a way to off load some of all that data off of your phone wink wink
Yep
Looking forward, the future of generative AI lies in creatively chaining all sorts of LLMs and knowledge bases together to create new kinds of assistants that deliver authoritative results users can verify.
8 has been using ai for years on the device logs
and has been working on voice/video interface for years since working with asian companies and speech avatars for customer representatives...
i think 8 is the generative speech interface with msft and it's speech recognition company , nuance.
openai is the llm, but rags needs an internet connectivity.
chain/connect the potentially distributed data resources ?
into a framework which can have templated 'objects' of phases/words/introductions/
maybe like the school of public policy/diplomacy?
debate team stuff.
empath for the hr/payroll glue?
8 ip and network to connect the different clouds in the work process flow or use parallel processing of same in the most efficient/economic/or otherwise admin ruled order. guesses. .
this would also be part of nemo of nvidia?
nvidia and leadtek made the first ai gpu...leadtek got soft fabric from 8x8. did they use it in nvidia?
Could 744/629 be used to chain these LLM’s together? Or is it more of 521 or both?
This kinda stuck out.
Looking forward, the future of generative AI lies in creatively chaining all sorts of LLMs and knowledge bases together to create new kinds of assistants that deliver authoritative results users can verify.
Mahalo Doc . very informative Do you see some 744 in there?
Augmented Generation, aka RAG?
Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.
November 15, 2023 by Rick Merritt
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To understand the latest advance in generative AI, imagine a courtroom.
Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute — requires special expertise, so judges send court clerks to a law library, looking for precedents and specific cases they can cite.
Like a good judge, large language models (LLMs) can respond to a wide variety of human queries. But to deliver authoritative answers that cite sources, the model needs an assistant to do some research.
The court clerk of AI is a process called retrieval-augmented generation, or RAG for short.
How It Got Named ‘RAG’
Patrick Lewis, lead author of the 2020 paper that coined the term, apologized for the unflattering acronym that now describes a growing family of methods across hundreds of papers and dozens of commercial services he believes represent the future of generative AI.
Picture of Patrick Lewis, lead author of RAG paper
Patrick Lewis
“We definitely would have put more thought into the name had we known our work would become so widespread,” Lewis said in an interview from Singapore, where he was sharing his ideas with a regional conference of database developers.
“We always planned to have a nicer sounding name, but when it came time to write the paper, no one had a better idea,” said Lewis, who now leads a RAG team at AI startup Cohere.
So, What Is Retrieval-Augmented Generation (RAG)?
Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.
In other words, it fills a gap in how LLMs work. Under the hood, LLMs are neural networks, typically measured by how many parameters they contain. An LLM’s parameters essentially represent the general patterns of how humans use words to form sentences.
That deep understanding, sometimes called parameterized knowledge, makes LLMs useful in responding to general prompts at light speed. However, it does not serve users who want a deeper dive into a current or more specific topic.
Combining Internal, External Resources
Lewis and colleagues developed retrieval-augmented generation to link generative AI services to external resources, especially ones rich in the latest technical details.
The paper, with coauthors from the former Facebook AI Research (now Meta AI), University College London and New York University, called RAG “a general-purpose fine-tuning recipe” because it can be used by nearly any LLM to connect with practically any external resource.
Building User Trust
Retrieval-augmented generation gives models sources they can cite, like footnotes in a research paper, so users can check any claims. That builds trust.
What’s more, the technique can help models clear up ambiguity in a user query. It also reduces the possibility a model will make a wrong guess, a phenomenon sometimes called hallucination.
Another great advantage of RAG is it’s relatively easy. A blog by Lewis and three of the paper’s coauthors said developers can implement the process with as few as five lines of code.
That makes the method faster and less expensive than retraining a model with additional datasets. And it lets users hot-swap new sources on the fly.
How People Are Using RAG
With retrieval-augmented generation, users can essentially have conversations with data repositories, opening up new kinds of experiences. This means the applications for RAG could be multiple times the number of available datasets.
For example, a generative AI model supplemented with a medical index could be a great assistant for a doctor or nurse. Financial analysts would benefit from an assistant linked to market data.
In fact, almost any business can turn its technical or policy manuals, videos or logs into resources called knowledge bases that can enhance LLMs. These sources can enable use cases such as customer or field support, employee training and developer productivity.
The broad potential is why companies including AWS, IBM, Glean, Google, Microsoft, NVIDIA, Oracle and Pinecone are adopting RAG.
Getting Started With Retrieval-Augmented Generation
To help users get started, NVIDIA developed an AI workflow for retrieval-augmented generation. It includes a sample chatbot and the elements users need to create their own applications with this new method.
The workflow uses NVIDIA NeMo, a framework for developing and customizing generative AI models, as well as software like NVIDIA Triton Inference Server and NVIDIA TensorRT-LLM for running generative AI models in production.
The software components are all part of NVIDIA AI Enterprise, a software platform that accelerates development and deployment of production-ready AI with the security, support and stability businesses need.
Getting the best performance for RAG workflows requires massive amounts of memory and compute to move and process data. The NVIDIA GH200 Grace Hopper Superchip, with its 288GB of fast HBM3e memory and 8 petaflops of compute, is ideal — it can deliver a 150x speedup over using a CPU.
Once companies get familiar with RAG, they can combine a variety of off-the-shelf or custom LLMs with internal or external knowledge bases to create a wide range of assistants that help their employees and customers.
RAG doesn’t require a data center. LLMs are debuting on Windows PCs, thanks to NVIDIA software that enables all sorts of applications users can access even on their laptops.
Chart shows running RAG on a PC
An example application for RAG on a PC.
PCs equipped with NVIDIA RTX GPUs can now run some AI models locally. By using RAG on a PC, users can link to a private knowledge source – whether that be emails, notes or articles – to improve responses. The user can then feel confident that their data source, prompts and response all remain private and secure.
A recent blog provides an example of RAG accelerated by TensorRT-LLM for Windows to get better results fast.
The History of RAG
The roots of the technique go back at least to the early 1970s. That’s when researchers in information retrieval prototyped what they called question-answering systems, apps that use natural language processing (NLP) to access text, initially in narrow topics such as baseball.
The concepts behind this kind of text mining have remained fairly constant over the years. But the machine learning engines driving them have grown significantly, increasing their usefulness and popularity.
In the mid-1990s, the Ask Jeeves service, now Ask.com, popularized question answering with its mascot of a well-dressed valet. IBM’s Watson became a TV celebrity in 2011 when it handily beat two human champions on the Jeopardy! game show.
Picture of Ask Jeeves, an early RAG-like web service
Today, LLMs are taking question-answering systems to a whole new level.
Insights From a London Lab
The seminal 2020 paper arrived as Lewis was pursuing a doctorate in NLP at University College London and working for Meta at a new London AI lab. The team was searching for ways to pack more knowledge into an LLM’s parameters and using a benchmark it developed to measure its progress.
Building on earlier methods and inspired by a paper from Google researchers, the group “had this compelling vision of a trained system that had a retrieval index in the middle of it, so it could learn and generate any text output you wanted,” Lewis recalled.
Picture of IBM Watson winning on "Jeopardy" TV show, popularizing a RAG-like AI service
The IBM Watson question-answering system became a celebrity when it won big on the TV game show Jeopardy!
When Lewis plugged into the work in progress a promising retrieval system from another Meta team, the first results were unexpectedly impressive.
“I showed my supervisor and he said, ‘Whoa, take the win. This sort of thing doesn’t happen very often,’ because these workflows can be hard to set up correctly the first time,” he said.
Lewis also credits major contributions from team members Ethan Perez and Douwe Kiela, then of New York University and Facebook AI Research, respectively.
When complete, the work, which ran on a cluster of NVIDIA GPUs, showed how to make generative AI models more authoritative and trustworthy. It’s since been cited by hundreds of papers that amplified and extended the concepts in what continues to be an active area of research.
How Retrieval-Augmented Generation Works
At a high level, here’s how an NVIDIA technical brief describes the RAG process.
When users ask an LLM a question, the AI model sends the query to another model that converts it into a numeric format so machines can read it. The numeric version of the query is sometimes called an embedding or a vector.
NVIDIA diagram of how RAG works with LLMs
Retrieval-augmented generation combines LLMs with embedding models and vector databases.
The embedding model then compares these numeric values to vectors in a machine-readable index of an available knowledge base. When it finds a match or multiple matches, it retrieves the related data, converts it to human-readable words and passes it back to the LLM.
Finally, the LLM combines the retrieved words and its own response to the query into a final answer it presents to the user, potentially citing sources the embedding model found.
Keeping Sources Current
In the background, the embedding model continuously creates and updates machine-readable indices, sometimes called vector databases, for new and updated knowledge bases as they become available.
Chart of a RAG process described by LangChain
Retrieval-augmented generation combines LLMs with embedding models and vector databases.
Many developers find LangChain, an open-source library, can be particularly useful in chaining together LLMs, embedding models and knowledge bases. NVIDIA uses LangChain in its reference architecture for retrieval-augmented generation.
The LangChain community provides its own description of a RAG process.
Looking forward, the future of generative AI lies in creatively chaining all sorts of LLMs and knowledge bases together to create new kinds of assistants that deliver authoritative results users can verify.
Get a hands on using retrieval-augmented generation with an AI chatbot in this NVIDIA LaunchPad lab.
Explore generative AI sessions and experiences at NVIDIA GTC, the global conference on AI and accelerated computing, running March 18-21 in San Jose, Calif., and online.
Categories: Deep Learning | Explainer | Generative AI
Tags: Artificial Intelligence | Events | Inference | Machine Learning | New GPU Uses | TensorRT | Trustworthy AI
ai data moves like a browser but not. event driven?or prompt driven? especially the RAG part of it. retrieval augmented generation.........
kona, dell also on tap ? time lag of nvidia ai chips to money for v and 8?
self service for the local government ai assistant could be you the end user choose the data resource to include in your ai for page summary , etc?
distributed data resources selected in self service mode?
might want to avoid a cnn/msnbc/nbc/abc source of information? or a fox news? depending on your sensibilities?
in the day the source might be the christian science monitor? seemed more of news gatherer and less analysis/spin?
some vcsy ip in the ai engine?
governance of data for ai to use seems to be a very important issue? governance and v partner.sawblade ventures?
8 and uk election information virtual assistant ip announced today.
Awful quiet in v land nvda target just upped to 1,400.00 😱 We need some v news. Like nvda licenses v patents🎉🎉🎉
i'm using investorhub for 8 now. they deleted postings on yahoo. getting touchie?
but did you see aws and sap deal? multilple chatapps in an app?
also, too funny. also they talked ec2 which allows users to rent virtual servers, which to me invoked user designated dynamic dns mapping of addresses of desired virtual servers and virtual services.
emPath tight connections between the hr and payroll?
use in a vertical stack of soc with 3d storage?
your on device server, with it's own webserver?
your w11 has it's own linux kernel..a neoware type of deal?
markup all the stuff on your phone...webcrawl/spider and index it. mle/266
valde phone patent?
valde's generative ai iphone? lol:
https://finance.yahoo.com/news/generative-ai-iphone-could-look-100015619.html
e-mails were msft teams weakspot for msft insider hacks?
gemini giving you summary of emails..just the business ones? how to do this in zero trust network?
you have to leave some admin instructions ? where is the email analyzed? on the device or in the network? like a peer to peer with a pc in the middle?
AI stocks are breaking out like I predicted last summer. I think this will be larger than the .com boom. Be careful investing in new Quantum startups. I’m sure there will be many popping up soon.
It sure would be nice to get some news. Seems to me it’s not going to make much difference who knows what now. I think it’s time to let the cat out of the bag. Unless maybe we have other creditors that we don’t want knowing what’s going on??? Wade was a sleeze ball. Who knows what other shady deals he’s made. Oh. Our BoD. Let’s all hope they get this mess cleaned up soon. In the meantime. My money is on AI
V is sleeping. Lookin at ionq. It may go lower. Watching it.
Still lost. 😂
hawaiian hx of service
U lost me on that one.
remember buddha heads and mis on memorial day.
those guys never said a peep about what they did for this country and the world.
v ip and 8 can help continue their legacy.
Maybe nvda will be one of the buyers of v? If the gov ever lets this run. ???? I’m tired of waiting. I should have bought nvda last year when I told u guys they were going to hook up 3 quantum computers by this summer. My 5 k would be 10 k now. It was only 500 bucks last year. 😔 Watch how it jumps when they announce all 3 hooked together!💵💰💵💰💵
Key words.
Off loads desktop virus….
VMware Horizon is not a browser itself, but it provides options for connecting to desktops and applications either through its dedicated client or via a web browser using HTML512.
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