Introducing another model in the Qwen series on SambaNova Cloud! This open-source test-time compute model from @alibaba_cloud enables LLMs to produce accurate responses in seconds, rather than minutes. Runs 3X faster than GPU providers
LLMS
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Bug in OpenAI Playground inference highlighting
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This was actually a bug in OAI Playground; it sometimes incorrectly de-highlighted previous model output when restarting inference after stopping. It does suggest they iteratively regenerated from the first unfunny line onward but it doesn’t prove it. Same for any edits there.
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OLMo 2 introduces reordered norm and QK-norm innovations
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Yo! @allen_ai just dropped OLMo 2 Tech report, some interesting things I found Architecture
> Reordered norm: Normalizing outputs of attention and feedforward layers within transformer blocks instead of inputs
> QK-norm: Normalizing key and query projections with RMSNorm -
Simple Framework for AI Agents by Abacus AI
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Check out this simple framework for #AI Agents from @AbacusAI at https://
abacus.ai/ai_agents • Connect to any data source or vector store
• Uses code execution engine
• Orchestrate with other ML models
• LLM-agnostic for flexibility
• Designed for chat or task-based operations -
LoRA Tutorial and Additional Tips from Readers
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Glad you found it useful, and thanks for the kind words! I think you probably already read that, but there is a LoRA from-scratch tutorial in the last Appendix. There was a reader how also had some useful additional tips regarding LoRA:
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RAG Search Approaches: Keyword vs Embedding Methods
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Here’s a quick rundown of the most popular (RAG) search approaches out there, plus tips on when they shine: • Keyword Search (e.g., BM25, BM42): Finds direct matches—great for straightforward data or well-defined keywords. • Embedding Search: Captures deeper semantics,
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ChatGPT can revolutionize stock trading for traders
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That's so true! It’s all about knowing how to leverage the tools we have. ChatGPT could really change the game for stock traders if used right!
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LLM Fine-Tuning Notebooks with OpenAI and Hugging Face
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check out some of my latest notebooks containing llm fine-tuning using OAI and HF fine-tuners https://
github.com/avikumart/LLM-
GenAI-Transformers-Notebooks/tree/main/TMLC_LLM_projects
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RAG: Most Practical AI Application from LLM Revolution
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among all AI applications, RAG has the most use-cases and useful outcome of llm revolution
