They said during the Universe Keynote its using GPT4 (or even Turbo). So I think you are working under outdated impressions .
LLMS
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SOTA GPT Code Release Anticipated
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Looking forward to seeing the code to get SOTA performance on GPT released! 😀
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Rumor about a new Amazon LLM named Olympus
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Rumor that Amazon is developing a new LLM, codenamed Olympus. They have one giant data set that others don’t: What you buy.
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Avoid API Outages: Host Your Own LLM with Predibase
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Outages are inevitable when dealing with a single model or API provider. If you were affected by the #OpenAI outage today or rate limits and latency in the past, check out the benefits of hosting your own #LLM with Predibase for free in our trial, https://
pbase.ai/3QPCRAR -
Speech AI Advancements Solving Real-World Industry Challenges
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Explore the latest advancements in #speechAI and its ability to solve real-world challenges. Learn how this transformative technology is revolutionizing industries in our latest blog: https://
nvda.ws/3FQFqfT -
Fine-tuning LLMs: Knowledge Integration and Efficient Updates
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lots of problems need to be solved before we have this:
– how to finetune LLMs on data so they “know” the data, and don’t just mimic it?
– how do we combine knowledge from pretraining on the universe with finetuning on small datasets?
– how do we efficiently update with new docs? -
Vector Databases Replaced by Single Transformer Models
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prediction: every vector database will eventually be replaced with a single transformer a row for every individual datapoint is so old-school, feels outdated what would be better: a single differentiable blob, something that “knows” about all your data and can chat about it
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Hybrid AI System Combining Search, Reasoning and Generation
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Imagine a chatbot and a vector db had a baby this thing can do search, sure, but it’s much more capable: can do search, reasoning, and generation, all at once
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Vector Databases for LLM Applications and RAG Systems
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Vector databases are a key part of many LLM applications that need search or data retrieval, for example with Retrieval Augmented Generation (RAG).
— Andrew Ng (@AndrewYNg) 8 novembre 2023
Learn how they work + how to use them in our new short course, taught by @weaviate_io's @sebawita!https://t.co/Yi0mnGt9pE pic.twitter.com/ACuueLLpEkVector databases are a key part of many LLM applications that need search or data retrieval, for example with Retrieval Augmented Generation (RAG). Learn how they work + how to use them in our new short course, taught by @weaviate_io
's @sebawita
! https://
deeplearning.ai/short-courses/
vector-databases-embeddings-applications
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Context by Fleet: Python Ecosystem Documentation Embeddings
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Context by Fleet is an awesome project to embed the docs of basically the entire Python ecosystem. Use it to give your LLM up-to-date information about just about any library.
— LangChain (@LangChain) 8 novembre 2023
Check out how you can build your own Chat LangChain experience using Context's embeddings of the… https://t.co/ElmZog6ftbContext by Fleet is an awesome project to embed the docs of basically the entire Python ecosystem. Use it to give your LLM up-to-date information about just about any library. Check out how you can build your own Chat LangChain experience using Context's embeddings of the