Fine Tuning Is For Form, Not Facts
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Fine tuning is one approach to domain-specific model refinement (DSMR), but it’s not a silver bullet for improving domain-specific performance.
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Mitigating LLM Hallucinations: a multifaceted approach - AI, software, tech, and people. Not in that order. By X
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LLM for Synthetic Time Series Data Generation, by Mantek Singh
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LLMのファインチューニングで事実の学習ができないのは本当か?ちょっと実験してみた
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Pre-training vs Fine-Tuning vs In-Context Learning of Large Language Models
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How To Create A Custom Fine-Tuned Prediction Model Using Base GPT-3 models, by Cobus Greyling
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Chen Jing 井琛 (@Well_ChenJ) / X
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The complete guide to LLM fine-tuning - TechTalks
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Why You Need RAG, Not Finetuning for introducing new facts to an LLM
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7 Things You Need to Know About Fine-Tuning LLMs
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Blog Anyscale
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Can fine-tuning teach the model some new facts? : r/LocalLLaMA
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Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Models to Unique Applications - 西尾泰和のScrapbox
M Waleed Kadous on LinkedIn: Fine Tuning Is For Form, Not Facts, Anyscale
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What Do You Think of the Fine-Tuning Argument for God?
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Using LangSmith to Support Fine-tuning
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