This is the Linux app named Prompt in-context learning whose latest release can be downloaded as prompt-in-context-learningsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Prompt in-context learning
DESCRIPTION
Prompt-In-Context-Learning is an open-source repository that serves as a comprehensive engineering guide and curated resource collection for understanding and applying in-context learning and prompt engineering with large language models. The project gathers research papers, tutorials, prompt examples, and practical guides that help developers and researchers learn how to design effective prompts for models such as GPT-3, ChatGPT, and other foundation models. In-context learning refers to the ability of language models to learn a task directly from examples provided in the prompt without updating the model’s parameters, allowing them to perform new tasks through demonstration alone. The repository organizes this growing field by categorizing materials related to prompt design strategies, chain-of-thought reasoning, agents, and general large language model usage. It is designed as a continuously updated “awesome-style” resource that tracks recent research developments.
Features
- Curated collection of research papers related to in-context learning and prompt engineering
- Organized resources covering LLM usage, prompt design strategies, and AI agents
- Large lists of academic publications exploring prompt-based learning methods
- Practical prompt examples for tasks such as analysis, summarization, and research
- Continuously updated repository tracking new developments in LLM research
- Structured documentation designed to help developers master prompt engineering
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/prompt-in-context.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
