Also what became really obvious after the app store was that Apple was not going to be designing/building/discovering the killer use cases for the iPhone (except maybe passbook). I think the same thing is going to probably be true about GPT/Llama derivatives.
GENERATIVE AI
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ChatGPT Works But Far From Fully Baked Says Expert
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I mean you could say the same thing about ChatGPT. It actually *works* and is (sort of) immediately useful after a million false starts in AI, and you can look at it and see the potential for an industry-altering tech. But it's nowhere close to fully baked.
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NVIDIA AI-Ready Servers Enable Generative AI Deployment
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We announced that the world’s leading system manufacturers will deliver NVIDIA AI-ready servers to help companies customize and deploy #GenerativeAI applications using their proprietary business data. https://
nvda.ws/45kUtcU #VMwareExplore @VMware @NVIDIAAI -
New LLM Survey Report on Production Adoption and Customization Techniques
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Check out our new #LLM survey report to get a lowdown on the current state of LLMs in #production. Topics covered: LLM adoption Top use cases Key challenges when productionizing LLMs Techniques for customization incl. #finetuning and more! https://
pbase.ai/44jLmba. -
Stability AI x CogX Festival: Meet Emad Mostaque at O2 London
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Join The Research Revolution at Stability AI x CogX and meet @EMostaque on stage at the CogX Festival at the O2 on Wednesday, September 13th from 9:30–10:00 AM. #stabilityai #stabilityxcogx #AIcommunity #AIevents #AIresearchers #london Apply today https://
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Milvus Vector Store Integration Brings Trillion-Scale Indexing
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🍃 Milvus Vector Store@milvusio is specifically designed to handle queries over input vectors, and capable of indexing vectors on a trillion scale.
— FlowiseAI (@FlowiseAI) 23 août 2023
Excited to have them on Flowise! pic.twitter.com/6chKdBEbLdMilvus Vector Store @milvusio is specifically designed to handle queries over input vectors, and capable of indexing vectors on a trillion scale. Excited to have them on Flowise!
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Vector Store Document Loader Integration for Prompt Enhancement
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VectorDB Document Loader Many of you have asked: how to use retrieved documents from vector store into the prompt? With this new integration, you can now do so! Even with the flexibility of specifying a minimum score for documents to be included.
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ConversationalQAChain Templates LangChain Marketplace
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Chat history variable Use previous chat history inside the prompt. You can now create your own ConversationalQAChain from scratch using LLMChain + PromptTemplate, and more customization! A template is readily available in the marketplace.
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LoRA as Cost-Effective Solution for Multi-Customer LLM Deployment
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I believe this would be easiest and most cost-effective because they won't have to store a new 175B parameter LLM for each customer then. With LoRA, you can use the same base LLM but only need to store the LoRA weights.
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LLMate Launches Solution for Structured Data QA
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QA over structured data is hard
— Harrison Chase (@hwchase17) 23 août 2023
Excited to so LLMate working with @manuelsoria_ and @fpingham to bring a solution to market
We've been chatting with them for a while – they've got some good ideas https://t.co/4ZLpFG4StDQA over structured data is hard Excited to so LLMate working with @manuelsoria_ and @fpingham to bring a solution to market We've been chatting with them for a while – they've got some good ideas