Saved by Darren LI and
LLM Powered Autonomous Agents
Abacus.AI - DeepAgent
deepagent.abacus.ai
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
While chains define reusable logic by sequencing components, agents leverage chains to take goal-driven actions. Agents combine and orchestrate chains. The agent observes the environment, decides which chain to execute based on that observation, takes the chain’s specified action, and repeats.