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Edge 351: A Summary of Our Series About Fine-Tuning in Foundation Models
Tuesday, December 12, 2023
This series explored PEFT, LoRa, QLoRA, RLHF, RLAIF, Constitutional AI and many more of the top fine-tuning methods in foundation model apps.
📝 Guest Post: Do We Still Need Vector Databases for RAG with OpenAI's Built-In Retrieval?
Monday, December 11, 2023
In this guest post, Jael Gu, an algorithm engineer at Zilliz, will delve into the constraints of OpenAI's built-in retrieval and walk you through creating a customized retriever using Milvus, an
Gemini and Mistral MoE: Both Impactul Altough Very Different Releases
Sunday, December 10, 2023
Next Week in The Sequence: Edge 351: Presents a detailed summary of our series about fine-tuning in foundation models. Edge 352: Will dive into LinkedIn's embedding architecure that power its
📝 Guest Post: How to Maximize LLM Performance*
Friday, December 8, 2023
In this post, Jordan Burgess, co-founder and Chief Product Officer at Humanloop, discusses the techniques for going from an initial demo to a robust production-ready application and explain how tools
Meet Zephyr: How Hugging Face's Instruction Fine Tuned LLM Outperformed Models 10 Times Its Size
Thursday, December 7, 2023
A fine-tuned version of Mistral, Zephyr applied some very clever techniques that led it to outperform LLaMA 70B and other much larger models.
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