[Market Trends] What is Tool Calling? Connecting LLMs to Your Data | IBM Technology
📌 Tool Calling: How LLMs Work Smarter with Your Data
The video explains the concept of "tool calling" which enables large language models (LLMs) to interact with real-time data, such as APIs and databases. This process involves sending a set of messages and tool definitions from a client application to the LLM, which then selects the appropriate tool based on the provided input. After calling the tool, the LLM receives the response and generates a final output. Tool definitions include the tool's name, description, and input parameters. The video also introduces "embedded tool calling," a method that uses a library to interact with both the LLM and the tools. This reduces the risk of LLMs "hallucinating" or making incorrect tool calls. Embedded tool calling helps ensure correct tool execution and provides more accurate answers by executing and retrying tool calls if needed.
