Difference between revisions of "In-Context Learning (ICL)"
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In-context learning (ICL) is a new paradigm in natural language processing (NLP) where large language models (LLMs) make predictions based on contexts augmented with just a few training examples1. LLMs are able to extract patterns from the examples provided in the context and use them to perform many complex NLP tasks. - [https://theglobalnlplab.substack.com/p/in-context-learning-a-new-paradigm In-context Learning - A New Paradigm in NLP? | The Global NLP Lab] | In-context learning (ICL) is a new paradigm in natural language processing (NLP) where large language models (LLMs) make predictions based on contexts augmented with just a few training examples1. LLMs are able to extract patterns from the examples provided in the context and use them to perform many complex NLP tasks. - [https://theglobalnlplab.substack.com/p/in-context-learning-a-new-paradigm In-context Learning - A New Paradigm in NLP? | The Global NLP Lab] | ||
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Revision as of 21:22, 22 April 2023
YouTube ... Quora ...Google search ...Google News ...Bing News
- A Survey on In-context Learning | Q. Dong, L. Li, D. Dai, C. Zheng, Z. Wu, B. Chang, X. Sun, J. Xu, L. Li, Z. Sui - arXiv Cornell University
- Generative AI ... Conversational AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's Bing ... You ...Google's Bard ... Baidu's Ernie
- Capabilities
- Discriminative vs. Generative
- Assistants ... Agents ... Negotiation ... HuggingGPT ... LangChain
- Context-based learning | Wikipedia
In-context learning (ICL) is a new paradigm in natural language processing (NLP) where large language models (LLMs) make predictions based on contexts augmented with just a few training examples1. LLMs are able to extract patterns from the examples provided in the context and use them to perform many complex NLP tasks. - In-context Learning - A New Paradigm in NLP? | The Global NLP Lab
