In Context Learning
PulseAugur coverage of In Context Learning — every cluster mentioning In Context Learning across labs, papers, and developer communities, ranked by signal.
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Prompt Engineering, RAG, and Fine-Tuning: Choosing the Right LLM Tool
This article explores the distinctions and appropriate uses of prompt engineering, retrieval-augmented generation (RAG), and fine-tuning in the context of large language models. It emphasizes the importance of diagnosin…
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LoRA emerges as a viable parametric knowledge memory for LLMs, complementing RAG and ICL
A new paper explores the use of Low-Rank Adaptation (LoRA) as a method for continuously updating knowledge in large language models. The research empirically analyzes LoRA's capacity, composability, and optimization for…
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New framework enhances multimodal in-context learning with inductive-deductive reasoning
Researchers have developed a new framework to improve in-context learning for vision-language models (VLMs). The approach addresses an "inductive gap" where models may reach correct answers through flawed reasoning and …