AI Agents and Reasoning Models
In this course, you’ll learn about AI Agents and Reasoning Models.
First, you’ll learn why these are needed, what are the weaknesses of LLMs, and how agents leverage the strengths of LLMs in order to mitigate these weaknesses.
Then, you’ll learn about reasoning models, RAG, and AI agents, including building your own agents for searching in wikipedia and solving math problems.
Finally, you’ll have some code labs on Langchain to test and strengthen your knowledge!
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Lesson 1: Strengths and Weaknesses of LLMs
Introduce your lesson with an optional, short summary. You can edit this excerpt in lesson settings.
Introduce your lesson with an optional, short summary. You can edit this excerpt in lesson settings.
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Lesson 2: AI Agents, RAG, and reasoning models
Introduce your lesson with an optional, short summary. You can edit this excerpt in lesson settings.
Introduce your lesson with an optional, short summary. You can edit this excerpt in lesson settings.
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In these labs you’ll find three
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