Function-Calling and Data Extraction with LLMs

This course will teach you two critical skills for building applications with LLMs: function-calling and structured data extraction. Function-calling allows you to extend LLMs with custom capabilities by enabling them to form calls to external functions based on natural language instructions. Structured data extraction enables LLMs to pull usable information from unstructured text. You’ll work with NexusRavenV2-13B, an open source model fine-tuned for function-calling and data extraction. The model, available on Hugging Face, has outperformed GPT-4 in some function-calling tasks, and has 13…