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Tool Calling

3 posts · Aug 2026

What this trail covers

This post details the evaluation of AI agents at the Grounded Reasoning Cup, focusing on their performance and reasoning capabilities in a competitive setting. It highlights how Databricks' platform supports the development and benchmarking of these agents, likely involving aspects of agent orchestration, evaluation metrics, and the underlying infrastructure that enables such competitions. This builds upon the core 'Tool Calling' capability by demonstrating its application in advanced AI agent s

All Databricks trails
  1. Designing effective Genie Agents from a single promptThis post details how to design effective Genie Agents from a single prompt, focusing on the technical aspects of leveraging tool calling capabilities for AI models. It likely explores prompt engineering techniques and architectural considerations for creating agents that can reliably interact with external tools based on a single, concise instruction.
  2. Evaluating AI Agents Live at the Grounded Reasoning CupThis post details the evaluation of AI agents at the Grounded Reasoning Cup, focusing on their performance and reasoning capabilities in a competitive setting. It highlights how Databricks' platform supports the development and benchmarking of these agents, likely involving aspects of agent orchestration, evaluation metrics, and the underlying infrastructure that enables such competitions.
  3. What is Tool Calling?This post details the evaluation of AI agents at the Grounded Reasoning Cup, focusing on their performance and reasoning capabilities in a competitive setting. It highlights how Databricks' platform supports the development and benchmarking of these agents, likely involving aspects of agent orchestration, evaluation metrics, and the underlying infrastructure that enables such competitions.