Introduction to AI Agents

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

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An LLM’s abilities are amplified when combined using emerging agent frameworks like BabyAGI, AutoGPT and ChatArena. These frameworks break down workflows into a series of discrete roles each handled by AI agents, which are given a defined objective and work together to automate a complex task.

Initially, this will take the form of human-AI collabora... See more

In addition to analyzing their objective, and coming up with tasks, autonomous agents can have a range of abilities that can enable them to complete any digital task a human could, such as:

• Access to browsing the internet and using apps


• Long-term and short-term memory


• Control of your computer


• Access to a credit card or other form of payment


• Ac

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First off, a primer on autonomous agents: - Give them a task - Give them memory - Give them access to tools - They decide on-the-fly how to accomplish your task and remove you from this process because... it's autonomous - Watch them attempt to do the work