Tweet ; NLP: pretraining AND Twitter thread
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Jeremy Howard sur X : "FSDP/QDoRA with Llama3 : I believe that this combination is likely to create better task-specific models than anything else at any cost."
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2024-04-23 About
Zeyuan Allen-Zhu sur X : " surprisingly, when pre-training good data (e.g., Wiki) together with "junks" (e.g., Common Crawl), LLM's capacity on good data may decrease by 20x times!"
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2024-04-10 About
raphaelsrty sur X : "My personal Knowledge Base made to the front page of HackerNews today..."
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2024-03-23 About
Akshay 🚀 sur X : "Let's build a "Chat with your code" RAG application, step-by-step"
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2024-03-09 About
Krista Opsahl-Ong sur X : "Got a pipeline with **multiple prompts**, like a DSPy program? ... Introducing MIPRO, a Multi-prompt Instruction Proposal Optimizer...."
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2024-03-09 About
Hrishi sur X : "RAPTOR is... one of the very few [RAG architectures] that actively presumes and uses the structure in a document...."
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2024-03-09 About
Jerry Liu sur X : "To better augment LLMs with context, it makes a lot of sense to organize context not just as a flat list of text chunks, but as a hierarchy of high-level to low-level details. RAPTOR..."
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2024-03-03 About
LlamaIndex 🦙 sur X : "Use RAG to build advanced text-to-SQL..."
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2024-01-24 About
Jerry Liu sur X : "4 Levels of Agents for RAG..."
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2024-01-23 About
Rachit Bansal sur X : "An LLM can be efficiently *composed* with specialized (L)LMs to enable new tasks"
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2024-01-06 About
Omar Khattab sur X : "...Let's use 30 lines of DSPy—without any hand-written prompts or any calls to OpenAI ($0)—to teach..."
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2024-01-01 About