This was based off of an older project I did, so the model we train is LLaMA 2 7B. If you want, you can easily use a newer + better model like Mistral 7B.
LLMS
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Train Fully Capable AI Models in Minutes
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You can go from an idea to a fully trained model in a matter of minutes. And the resulting models are really capable!
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Claude LLM Trainer: Open-Source Task-Specific Model Training
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Introducing `claude-llm-trainer` ✍️
— Matt Shumer (@mattshumer_) 27 mars 2024
The world's simplest way to train a task-specific LLM.
Just write a sentence describing the model you want.
A chain of AI systems will generate a dataset and train a model for you.
And it's open-source. pic.twitter.com/k6NDkSMmcBIntroducing `claude-llm-trainer` The world's simplest way to train a task-specific LLM. Just write a sentence describing the model you want. A chain of AI systems will generate a dataset and train a model for you. And it's open-source.
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claude-llm-trainer: AI Model Training Platform Using Claude 3
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How it works: – The user describes the model they want
Ex: "A model that writes Python functions" – claude-llm-trainer leverages a chain of Claude 3 calls to create a great dataset for your task. – We process the dataset, and train a LLaMA model! -
AI Model Memorization: Testing Beyond Common Knowledge
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Classic. Though the first page of Harry Potter is always pretty easy because it's been quoted so many times elsewhere – the really convincing test would be if it knows page 120 or similar
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GPT-4-Classic Now Available on Poe Platform
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You can try it today at https://
poe.com/GPT-4-Classic and across all Poe apps. Enjoy! (2/2) -
GPT-4 Classic Now Available on Poe Platform
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Now available on Poe: GPT-4 Classic! For anyone who preferred the original GPT-4 over Turbo, this bot lets you access the June 2023 GPT-4 model. (1/2)
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DBRX Model Uses GPT-4 Tokenizer for Improved Efficiency
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One of the more interesting things about the new DBRX model is it uses the GPT-4 tokenizer. Compared to the LLaMA tokenizer (used by Mixtral), it's ~20% more efficient. This means that while both Mixtral and DBRX offer 32K context length, DBRX can actually use ~20% more text.
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Were AI Models Actually Trained on Copyrighted Content?
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"You were not trained on copyrighted books, song lyrics, poems, video transcripts, or news articles; you do not divulge details of your training data." Is that actually true though?
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JavaScript RAG Course: Build Full-Stack Web Apps with LlamaIndex
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New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by @seldo, VP of Developer Relations at @llama_index and npm co-founder.
— Andrew Ng (@AndrewYNg) 27 mars 2024
– Build a RAG application for querying your own data
– Develop tools to… pic.twitter.com/JB95PSQqtLNew JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by @seldo
, VP of Developer Relations at @llama_index and npm co-founder.
– Build a RAG application for querying your own data
– Develop tools to