LLM-Agents-Papers
Agent papers
Compiles and curates research papers on LLM-based agent architectures and applications
A repo lists papers related to LLM based agent
1k stars
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76 forks
Language: Python
last commit: about 2 years agoLinked from 2 awesome lists
agentslarge-language-modelsllm-agentpaper-list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A collection of papers on the use of large language models in agent-based systems | 1,960 | |
| Builds agents controlled by large language models (LLMs) to perform tasks with tool-based components | 940 | |
| An end-to-end platform for building and deploying large language model applications | 1,624 | |
| A lightweight framework for building agent-based applications using LLMs and transformer architectures | 1,924 | |
| A framework and benchmark for training and evaluating multi-modal large language models, enabling the development of AI agents capable of seamless interaction between humans and machines. | 305 | |
| A low-code development tool for building multi-agent large language models applications | 1,039 | |
| Toolset for building and sharing agents for AI systems using large language models | 1,992 | |
| A comprehensive toolset for building Large Language Model (LLM) based applications | 1,733 | |
| A tool for easy interaction with Large Language Models (LLMs) to execute structured function calls and generate structured output. | 505 | |
| Tools for defining and executing complex workflows powered by large language models. | 281 | |
| Enables collaboration between AI agents to solve tasks and interact with each other | 1,171 | |
| A tool for building and deploying generative AI applications with a no-code multi-agent framework | 1,659 | |
| Automates large code generation and writing tasks using a large language model framework | 79 | |
| An open-source project demonstrating the use of large language models to conduct corporate lobbying activities, including relevance assessment and letter drafting. | 170 | |
| Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. | 200 |