Tool Calling

Tool Calling is a powerful technique that enables Large Language Models (LLMs) to access and utilize real-time data from external sources such as APIs and databases. Coursera's Tool Calling catalogue teaches you how to implement this crucial skill in AI development, enhancing the capabilities of language models. You'll learn to design and execute both traditional and embedded tool calling methods, understand the process of defining tools, manage tool execution, and mitigate issues like hallucination in LLM responses. This skill empowers you to create more intelligent, context-aware AI systems that can perform complex tasks by seamlessly integrating external data and functionalities, making it an essential competency for AI developers and data scientists in building advanced, real-world AI applications.
14credentials
1online degree
33courses

Results for "tool calling"

  • Status: New

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, AI Product Strategy, LLM Application, Google Cloud Platform, Customer experience improvement, Tool Calling, Solution Design, Innovation, Business Strategy, Performance Tuning

  • Status: Free

    Skills you'll gain: Tool Calling, LLM Application, Multimodal Prompts, Prompt Patterns, Prompt Engineering, Large Language Modeling

  • Status: Free

    Skills you'll gain: Anthropic Claude, Prompt Engineering, Multimodal Prompts, Tool Calling, LLM Application, Responsible AI, Artificial Intelligence, Cloud API

  • Status: New
    Status: Free Trial

    Skills you'll gain: LangChain, LLM Application, Large Language Modeling, Tool Calling, Generative AI, Generative AI Agents, Prompt Engineering, Unstructured Data, Semantic Web