Topic
Ai Agents
Learn Ai Agents as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts23 Articles7h 43m
Overview
Learn Ai Agents as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Llm
Python
Langchain
Langgraph
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Series that contain articles from Ai Agents. Select a path to filter the article list.
Articles
23 matched articles
Article 1Multistep AI Agents: The Power of PlanningTLDR: A simple ReAct agent reacts one tool call at a time. A multistep agent plans a complete task decomposition upfront, then executes each step sequentially ā handling complex goals that require 5-115 min
Article 2AI Agents Explained: When LLMs Start Using ToolsTLDR: A standard LLM is a brain in a jar ā it can reason but cannot act. An AI Agent connects that brain to tools (web search, code execution, APIs). Instead of just answering a question, an agent exe13 min
Article 6LangChain 101: Chains, Prompts, and LLM IntegrationTLDR: LangChain's LCEL pipe operator (|) wires prompts, models, and output parsers into composable chains ā swap OpenAI for Anthropic or Ollama by changing one line without touching the rest of your c19 minPage 1 of 4