110 lines
3.6 KiB
YAML
110 lines
3.6 KiB
YAML
- title: Unit 0. Welcome to the course
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sections:
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- local: unit0/introduction
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title: Welcome to the course 🤗
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- local: unit0/onboarding
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title: Onboarding
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- local: unit0/discord101
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title: (Optional) Discord 101
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- title: Live 1. How the course works and Q&A
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sections:
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- local: communication/live1
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title: Live 1. How the course works and Q&A
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- title: Unit 1. Introduction to Agents
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sections:
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- local: unit1/introduction
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title: Introduction
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- local: unit1/what-are-agents
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title: What is an Agent?
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- local: unit1/quiz1
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title: Quick Quiz 1
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- local: unit1/what-are-llms
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title: What are LLMs?
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- local: unit1/messages-and-special-tokens
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title: Messages and Special Tokens
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- local: unit1/tools
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title: What are Tools?
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- local: unit1/quiz2
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title: Quick Quiz 2
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- local: unit1/agent-steps-and-structure
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title: Understanding AI Agents through the Thought-Action-Observation Cycle
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- local: unit1/thoughts
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title: Thought, Internal Reasoning and the Re-Act Approach
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- local: unit1/actions
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title: Actions, Enabling the Agent to Engage with Its Environment
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- local: unit1/observations
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title: Observe, Integrating Feedback to Reflect and Adapt
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- local: unit1/dummy-agent-library
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title: Dummy Agent Library
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- local: unit1/tutorial
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title: Let’s Create Our First Agent Using smolagents
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- local: unit1/final-quiz
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title: Unit 1 Final Quiz
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- local: unit1/conclusion
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title: Conclusion
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- title: Unit 2. Frameworks for AI Agents
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sections:
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- local: unit2/introduction
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title: Frameworks for AI Agents
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- title: Unit 2.1 The smolagents framework
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sections:
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- local: unit2/smolagents/introduction
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title: Introduction to smolagents
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- local: unit2/smolagents/why_use_smolagents
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title: Why use smolagents?
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- local: unit2/smolagents/quiz1
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title: Quick Quiz 1
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- local: unit2/smolagents/code_agents
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title: Building Agents That Use Code
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- local: unit2/smolagents/tool_calling_agents
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title: Writing actions as code snippets or JSON blobs
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- local: unit2/smolagents/tools
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title: Tools
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- local: unit2/smolagents/retrieval_agents
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title: Retrieval Agents
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- local: unit2/smolagents/quiz2
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title: Quick Quiz 2
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- local: unit2/smolagents/multi_agent_systems
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title: Multi-Agent Systems
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- local: unit2/smolagents/vision_agents
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title: Vision and Browser agents
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- local: unit2/smolagents/final_quiz
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title: Final Quiz
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- local: unit2/smolagents/conclusion
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title: Conclusion
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- title: Unit 2.2 The LlamaIndex framework
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sections:
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- local: unit2/llama-index/introduction
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title: Introduction to LLamaIndex
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- local: unit2/llama-index/llama-hub
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title: Introduction to LlamaHub
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- local: unit2/llama-index/components
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title: What are Components in LlamaIndex?
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- local: unit2/llama-index/tools
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title: Using Tools in LlamaIndex
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- local: unit2/llama-index/quiz1
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title: Quick Quiz 1
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- local: unit2/llama-index/agents
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title: Using Agents in LlamaIndex
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- local: unit2/llama-index/workflows
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title: Creating Agentic Workflows in LlamaIndex
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- local: unit2/llama-index/quiz2
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title: Quick Quiz 2
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- local: unit2/llama-index/conclusion
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title: Conclusion
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- title: Bonus Unit 1. Fine-tuning an LLM for Function-calling
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sections:
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- local: bonus-unit1/introduction
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title: Introduction
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- local: bonus-unit1/what-is-function-calling
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title: What is Function Calling?
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- local: bonus-unit1/fine-tuning
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title: Let's Fine-Tune your model for Function-calling
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- local: bonus-unit1/conclusion
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title: Conclusion
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- title: When the next steps are published?
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sections:
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- local: communication/next-units
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title: Next Units
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