Fine Tuning Is For Form, Not Facts
By A Mystery Man Writer
Description
Fine tuning is one approach to domain-specific model refinement (DSMR), but it’s not a silver bullet for improving domain-specific performance.
How To Create A Custom Fine-Tuned Prediction Model Using Base GPT-3 models, by Cobus Greyling
avnish narayan (@narayan_avnish) / X
Multi-Vector Retriever for RAG on tables, text, and images 和訳|p
Can fine-tuning teach the model some new facts? : r/LocalLLaMA
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Blog Anyscale
Fine-tuning large language models (LLMs) in 2024
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avnish narayan (@narayan_avnish) / X
Can GPT-4 be the only model you need? Learn how to fine-tun LLaMA-2 7B., 🚀 Sergey Shchegrikovich posted on the topic
What Is Fine Tuning? - John Templeton Foundation
Which is better, retrieval augmentation (RAG) or fine-tuning? Both.
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