Construct real-world AI brokers utilizing LangChain, RAG, Langflow, GPT-4, FAISS, CrewAI, AutoGen, LangGraph & vector search
What you’ll study
Grasp the basics and superior ideas of constructing AI-driven brokers with LangChain, Langflow & GPT-4.
Design and construct AI brokers utilizing LangChain, Langflow, and LangGraph to automate advanced duties and workflows.
Design, develop, and deploy autonomous AI functions able to changing or enhancing SaaS options.
Combine customized instruments and exterior APIs like search, calculator, and vector databases to create specialised autonomous brokers.
Develop retrieval-augmented era (RAG) techniques to allow brokers to offer correct responses utilizing your customized data bases.
Deploy strong, production-ready AI workflows with built-in safeguards, human oversight, and structured decision-making to make sure reliability
Create multi-agent collaborative techniques utilizing frameworks like AutoGen and crewAI for superior workflow automation.
Successfully debug and optimize AI brokers to keep away from widespread pitfalls comparable to looping, hallucinations, and inefficient useful resource use.
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