@h2oai and NVIDIA are working together to provide an end-to-end workflow for financial institutions, using NVIDIA AI Enterprise. Companies can develop and deploy their own #LLMs to power #generativeAI use cases in #financialservices. Read the blog here.
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AGI.Eth Unruggable Subnames: Mint Web3 AGI Assets
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Ben.AGI.Eth [ U N R U G G A B L E S U B N A M E S ] AGI.Eth : “World's Most Coveted #AGI Web3 Asset” YourName.AGI.Eth Mint : 0.06 Eth Example : Ben.AGI.Eth : https://
opensea.io/assets/ethereu
m/0xd4416b13d2b3a9abae7acd5d6c2bbdbe25686401/12718436472890688509164253480605195059826669259464632825803026075354866854206
… #AGIFirst #ENS #ENSDomains -
CoPilot adoption friction limits user experience and adoption
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IDK if its still true, but to try out CoPilot with Bing, I had to download the Edge browser, and then login with my Microsoft account. Just to try it out.
It blew my mind that they'd create magic, want it adopted quickly and put so much product friction for whatever internal -
LangChain LCEL Chain Inspection Tools Released
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LCEL Chain Inspection Need a better understanding of that long chain? We've recently added two methods to better inspect ANY chain created with LangChain Expression Language: View any chain as a graph
See all the prompts associated with a chain https://
python.langchain.com/docs/expressio
n_language/how_to/inspect
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Model Optimization: Fixed 8fps Frame Rate Control Strategy
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Aye, there’s no fps control at the moment, it’s fixed to 8fps, but you can choose how many frames to generate. I think there’s also lots of room for optimisation of this model to get it faster.
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Perplexity vs ChatGPT: Speed and Fact-Seeking Performance
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Perplexity has become my most used AI app by the end of 2023. I use it for fact-seeking questions — including recent news / facts, summarizing opinions and recommendations on products and much more.
— Soumith Chintala (@soumithchintala) 4 janvier 2024
ChatGPT + Browsing can do similar stuff, but its like 100x slower, and is often… https://t.co/n0aftiwBBmPerplexity has become my most used AI app by the end of 2023. I use it for fact-seeking questions — including recent news / facts, summarizing opinions and recommendations on products and much more. ChatGPT + Browsing can do similar stuff, but its like 100x slower, and is often
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Challenges of Deploying RAG Applications in Enterprise Environments
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The most common use of LLMs in enterprise is building RAG (retrieval augmented generation) applications on a custom knowledge base, which are difficult to put in production. Some of the challenges are: •Parsing docs and PDFs (most open-source libraries struggle with this)
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LangChain Community Growth Visualization Over Time
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Our community is awesome!
— LangChain (@LangChain) 4 janvier 2024
Incredible to see this animation of the LangChain GitHub repository over time
Thank you to everyone who shows up!! Can you spot yourself? https://t.co/jTt7jGcdFjOur community is awesome! Incredible to see this animation of the LangChain GitHub repository over time Thank you to everyone who shows up!! Can you spot yourself?
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Advanced Retrieval for RAG with Chroma Course
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New short course on advanced retrieval for RAG (retrieval augmented generation)!
— Andrew Ng (@AndrewYNg) 4 janvier 2024
RAG fetches relevant documents to give context to an LLM. In Advanced Retrieval for AI with Chroma, taught by @trychroma founder @atroyn, you’ll learn:
(i) Query expansion using an LLM to rewrite… pic.twitter.com/7MHX4HT09VNew short course on advanced retrieval for RAG (retrieval augmented generation)! RAG fetches relevant documents to give context to an LLM. In Advanced Retrieval for AI with Chroma, taught by @trychroma founder @atroyn
, you’ll learn:
(i) Query expansion using an LLM to rewrite -
GPT Store Launch Announced for Developer Community
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The store will be here soon! Hang tight, it should solve the biggest friction point for GPTs currently. Please DM me any other feedback on the developer side of building GPTs, happy to help answer questions or relay feedback.