Build a Basic AI Agent from Scratch: Tools
The article discusses the development of a basic AI agent and the importance of tools in enhancing its functionality. It explains how tools allow the agent to perform actions in its environment, such as executing commands or reading files. The article also outlines several essential tools that can be implemented to improve the agent's capabilities.
- ▪The basic AI agent can only interact through user input and internal knowledge without tools.
- ▪Tools are programs or functions that enable the AI agent to take actions autonomously.
- ▪Modern large language models have native tool calling features that improve reliability and minimize errors.
Opening excerpt (first ~120 words) tap to expand
Build A Basic AI Agent From Scratch: ToolsRoger Oriol9 min read·1 day ago--ListenShareIn the previous part of the Build A Basic AI Agent From Scratch series, we built the most basic AI agent harness possible. It was just a connection to a model, a way to take user input, a store of context of the conversation and a loop that kept the agent running.Of course, this agent is not very useful. It can only interact by taking your input and answering you based on its internal knowledge. If we want our agent to be more useful and do work in behalf of us, we have to give it a way to give it some way to take actions in its environment. In this case, the computer it’s running on.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Medium.