It is really cool. Still a little bit buggy since a lot of GPTs weren't built for this yet but it's only up from here. 🙂
LLMS
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Carbon Dating ML Papers by Open-Source Language Models
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carbon dating ML papers by which open-source LM they use GPT-2 → the before times
GPT-J → summer 2022
LLAMA-1 → spring 2023
LLAMA-2 → summer 2023
mistral 7b → fall 2023
mixtral 8x7b → the current era -
Mixtral 8×7 Achieves 488 Tokens Per Second on Groq Hardware
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wow, mixtral 8×7 can hit ~488 tok/s using groqchat's custom chips. realtime analysis or nested llm calls become way more feasible at these speeds
— Aaron Ng (@localghost) 1 février 2024
whole responses in about a second: pic.twitter.com/wv8jX4Uj93wow, mixtral 8×7 can hit ~488 tok/s using groqchat's custom chips. realtime analysis or nested llm calls become way more feasible at these speeds whole responses in about a second:
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Fine-Tuned LLMs: Zephyr, LoRAX, Ludwig Updates and More
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Jan edition of our Fine-Tuned Newsletter: Fine-Tune #Zephyr for Cust Support @caveminds Podcast: Smaller Cheaper #Finetuned #LLMs Coding for non-coders OSS: Ludwig v0.9.3 / #LoRAX v0.6 Product: #Prompting fine-tuned #endpoints
…and more! https://
pbase.ai/3OprApB -
Teknium releases high-quality AI data filtering and curation
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great release from @teknium
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New Embedding Model Release Announced for Tomorrow
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new embedding model dropping tomorrow…… stay tuned
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OpenAI releases new embedding model for LangChain integration
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OpenAI recently released a new embedding model Check out @mesudarshan
's awesome new video on how to use them as part of LangChain! -
Vector Databases Course: Building AI-Powered Applications
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New short course on Building Applications with Vector Databases, taught by @pinecone’s @timt! At the heart of a vector database is the ability to store a collection of vectors and then query against that, meaning input a new vector and find similar ones. This is useful for many… pic.twitter.com/gYDg45r3Yh
— Andrew Ng (@AndrewYNg) 31 janvier 2024New short course on Building Applications with Vector Databases, taught by @pinecone
’s @timt
! At the heart of a vector database is the ability to store a collection of vectors and then query against that, meaning input a new vector and find similar ones. This is useful for many -
Early Warning System for LLM Biological Threat Misuse Detection
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We are building an early warning system for LLMs being capable of assisting in biological threat creation. Current models turn out to be, at most, mildly useful for this kind of misuse, and we will continue evolving our evaluation blueprint for the future.
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LLMs Biothreat Information Access Risk Evaluation Framework
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A widely discussed potential risk from LLMs is increased access to biothreat creation information. Building on our Preparedness Framework, we wanted to design evaluations of how real this information access risk is today and how we could monitor it going forward.