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: Model Context Protocol, Amazon Web Services, AI Workflows, Google Gemini, AI Integrations, AI Orchestration, OpenAI API, AWS Identity and Access Management (IAM), Retrieval-Augmented Generation, LLM Application, Agentic systems, Generative AI, Front-End Web Development, Tool Calling, Serverless Computing, Vector Databases, Node.JS, Back-End Web Development, Large Language Modeling, Event-Driven Programming

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

  • Skills you'll gain: LangChain, Prompt Patterns, Prompt Engineering, LLM Application, Tool Calling, Retrieval-Augmented Generation, Generative AI, Large Language Modeling, Model Deployment, Hugging Face, Embeddings, MLOps (Machine Learning Operations), LangGraph, Vector Databases, AI Security, Responsible AI, Artificial Intelligence, Application Programming Interface (API), Model Evaluation, Docker (Software)

  • Skills you'll gain: DeepSeek API, Deepseek, Agentic Workflows, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, AI Orchestration, Tool Calling, LLM Application, Prompt Engineering, Application Deployment, Application Programming Interface (API), Agentic systems, Generative AI, Embeddings, Artificial Intelligence, Model Evaluation, Python Programming, Large Language Modeling, Vector Databases

  • Skills you'll gain: AI Workflows, LangGraph, AI Orchestration, Generative AI Agents, Agentic Workflows, Retrieval-Augmented Generation, Responsible AI, LangChain, Tool Calling, Large Language Modeling, Generative AI, Prompt Engineering, Agentic systems, Artificial Intelligence, Image Analysis, Application Deployment, Natural Language Processing, Computer Vision, Context Management, Application Programming Interface (API)

  • Skills you'll gain: Swift Programming, Apple iOS, Tool Calling, Prompt Engineering, iOS Development, Mobile Development, LLM Application, Generative AI, Large Language Modeling, Prompt Engineering Tools, AI Workflows, AI Integrations, Responsible AI, AI literacy, User Interface (UI), Application Programming Interface (API), Context Management, Computer Programming Tools, Python Programming, Graphical Tools

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

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

  • Skills you'll gain: DeepSeek API, Agentic Workflows, Deepseek, AI Workflows, Model Context Protocol, Agentic systems, AI Integrations, Model Deployment, Generative AI Agents, AI Security, LLM Application, Tool Calling, Application Deployment, AI Enablement, Context Management, Model Evaluation, AI Personalization, Data Validation

  • Skills you'll gain: Prompt Engineering, Multimodal Prompts, AI Workflows, LLM Application, Generative AI Agents, Agentic Workflows, Prompt Patterns, Large Language Modeling, Tool Calling, Prompt Engineering Tools, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Agentic systems, Natural Language Processing, Image Analysis, Computer Vision, Context Management, API Design, Python Programming, Document Management

  • Skills you'll gain: LLM Application, Tool Calling, Retrieval-Augmented Generation, AI Workflows, Large Language Modeling, Prompt Engineering, Token Optimization, Generative AI, Generative AI Agents, Agentic Workflows, Application Programming Interface (API), Context Management, JSON

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