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: 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: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, Prompt Engineering, Anthropic Claude, Application Programming Interface (API), Prompt Patterns, Prompt Engineering Tools, LLM Application, JSON, AI Integrations, Generative AI Agents, AI literacy, Tool Calling, Generative AI, Scripting, Token Optimization, Document Management, Context Engineering, Agentic systems

  • 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: AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, LLM Application, Tool Calling, Agentic systems, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Patterns, Retrieval-Augmented Generation, Prompt Engineering, AI Integrations, Application Development, Data Visualization, Responsible AI, Large Language Modeling, Risking

  • 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

  • Skills you'll gain: LangChain, LangGraph, Model Context Protocol, AI Workflows, LLM Application, Context Engineering, AI Orchestration, Agentic Workflows, Generative AI Agents, Tool Calling, Model Deployment, Data Processing, Data Transformation, Retrieval-Augmented Generation, Agentic systems, Generative AI, Gemini, Artificial Intelligence, Prompt Engineering, Responsible AI

  • Skills you'll gain: LangChain, Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, Model Evaluation, Large Language Modeling, CrewAI, OpenAI API, Generative AI Agents, LLM Application, Vector Databases, Agentic Workflows, Tool Calling, ChatGPT, Responsible AI, Token Optimization, Embeddings, OpenAI, Generative AI, Python Programming

  • Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, Prompt Patterns, Prompt Engineering Tools, LLM Application, Tool Calling, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, AI Integrations, Software Development

  • Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines

  • Skills you'll gain: Prompt Engineering, LangChain, Retrieval-Augmented Generation, Prompt Patterns, Prompt Engineering Tools, Vector Databases, LLM Application, Generative AI, Tool Calling, Generative AI Agents, Embeddings, Large Language Modeling, JSON, AI Workflows, AI Orchestration, Model Deployment, User Interface (UI), UI Components, Model Evaluation, Database Systems

  • Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI Agents, LLM Application, AI literacy, Agentic Workflows, AI Orchestration, OpenAI API, AI Enablement, Java, Java Programming, AI powered creativity, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, AI Workflows, Tool Calling, AI Integrations

  • Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, OpenAI API, Model Deployment, OpenAI, AI Integrations, Tool Calling, LLM Application, Enterprise Application Management, OAuth, Model Context Protocol, Prompt Engineering, Performance Tuning, Real Time Data, Interoperability, Prompt Patterns, Application Deployment