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LLM Powered Autonomous Agents
A Survey on Large Language Model based Autonomous Agents
The paper surveys large language model-based autonomous agents, discussing their construction, applications across various domains, and evaluation strategies, while proposing a unified framework and identifying future research directions.
arxiv.org
An agent can be thought of as a logical wrapper around an LLM, allowing us to add several features to our AI systems, primarily:
- Tool usage, such as calling APIs for info, executing code,
- Internal thoughts over multiple generation steps
- Ability to use various tools and reasoning steps to answer more complex queries.
- Parallel agents can go and complete
James Briggs • LLMs Are Not All You Need | Pinecone
A practical guide to building agents
Guide to building AI agents using large language models, covering agent definition, use case selection, design components, single/multi-agent orchestration, tool integration, instruction setup, safety guardrails, and deployment best practices.
cdn.openai.com