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.

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Results for "Tool Calling"

  • Skills you'll gain: Agentic systems, Tool Calling, Agentic Workflows, Generative AI Agents, Gemini, Google Gemini, AI Integrations, OpenAI, Middleware, Angular, Development Environment, Systems Architecture, Node.JS, Frontend Integration, Debugging, Data Validation

  • From the course: Fundamentals of AI Agents Using RAG and LangChain·Lesson: Getting Started with Tool Calling

  • Skills you'll gain: Model Context Protocol, Agentic systems, Retrieval-Augmented Generation, Prompt Engineering, Agentic Workflows, Tool Calling, Google Gemini, AI Workflows, Generative AI Agents, AI Orchestration, Server Side, Node.JS, Vector Databases, MongoDB, Embeddings, Large Language Modeling, Natural Language Processing, Web Development, Machine Learning, Javascript

  • From the course: Fundamentals of Building AI Agents·Lesson: Getting Started with Tool Calling

  • From the course: MCP Servers & Agentic AI Architecture·Lesson: Introduction to Native Tool Calling and MCP Comparison

  • From the course: Advanced MCP & Tool Calling for AI Agents·Lesson: MCP Transport and Gemini Tool Calling

  • From the course: Advance Multi-Agent Systems & Production AI with LangSmith·Lesson: Understanding Tool-Calling

  • From the course: Building AI-Powered Chatbots with Flowise·Lesson: Untitled Lesson

  • From the course: Advanced MCP & Tool Calling for AI Agents·Lesson: MCP Transport and Gemini Tool Calling

  • Skills you'll gain: LangChain, LLM Application, Tool Calling, AI Workflows, Generative AI Agents, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Data Visualization, Agentic systems, Software Development

  • Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Tool Calling, Large Language Modeling, OpenAI API, LLM Application, OpenAI, GitHub Copilot, AI Integrations, Image Analysis, Spring Boot, Real Time Data

  • From the course: Fundamentals of AI Agents Using RAG and LangChain