Construct clever apps with LLMs utilizing Python, LangChain, and immediate engineering—hands-on and sensible.
What you’ll study
Construct clever purposes utilizing massive language fashions (LLMs) like GPT and Mistral.
Design efficient prompts to information LLM habits utilizing superior immediate engineering strategies.
Examine and consider common LLMs for various software situations.
Implement retrieval-augmented era (RAG) with embeddings and vector databases.
Use LangChain to create dynamic, modular AI-powered workflows.
Create conversational brokers and assistants able to pure, context-aware dialogue.
Embed customized knowledge into LLM pipelines utilizing semantic chunking and indexing.
Apply few-shot studying methods to enhance response high quality in LLM outputs.
Combine exterior instruments and APIs with LLM brokers for enhanced performance.
Deploy Python-based AI purposes with real-world usability and scalability.
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