Function Calling
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What is Function Calling?
Function calling allows Large Language Models (LLMs) to interact with external tools and APIs. Instead of just generating text, the LLM can be instructed to recognize when a specific function should be called based on the user's input, and then output the arguments needed to execute that function. This enables the LLM to perform actions beyond its training data, such as retrieving real-time information or automating tasks.
Free resources to learn Function Calling
More in stage 5: Type of Models
- Type of Models
- Pre-trained Models
- Closed vs Open Source Models
- Self-Hosted Models
- Zero-Shot
- Few-Shot
- ReAct
- CoT
- Prompt Caching
- Streaming Responses
- RAG & Dynamic Filters
- Memory Systems
- Context Compaction
- Long-Context Processing
- State & Historical Context
- Multi-agent Context Sharing
- Context Isolation
- Context Failure Modes
Function Calling: common questions
Can I learn Function Calling in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Function Calling in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Function Calling tutorial for beginners?
It is lesson 48 of 189 in the free AI Engineer roadmap, in stage 5, Type of Models. If you are new to AI Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.