Tag: fine-tuning techniques
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Hacker News: LoRA vs. Full Fine-Tuning: An Illusion of Equivalence
Source URL: https://arxiv.org/abs/2410.21228 Source: Hacker News Title: LoRA vs. Full Fine-Tuning: An Illusion of Equivalence Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents a comparative study of Low-Rank Adaptation (LoRA) and full fine-tuning for large language models (LLMs). It reveals significant differences in how each method alters pre-trained models, particularly focusing…
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Hacker News: Ask HN: Recommendation for LLM-based "documentation interaction"
Source URL: https://news.ycombinator.com/item?id=41847966 Source: Hacker News Title: Ask HN: Recommendation for LLM-based "documentation interaction" Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a plan for fine-tuning a large language model (LLM) to enhance the accessibility and efficiency of documentation for a particular framework. This initiative aims to improve user experience by…
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Hacker News: LLMs know more than what they say
Source URL: https://arjunbansal.substack.com/p/llms-know-more-than-what-they-say Source: Hacker News Title: LLMs know more than what they say Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in evaluation techniques for generative AI applications, particularly focusing on reducing hallucination occurrences and improving evaluation accuracy through a method called Latent Space Readout (LSR). This approach demonstrates…