LLM learning roadmap: Build bots, knowledge assistants, and advisors

This guide outlines a practical roadmap for learning Generative AI and LLM engineering through hands-on projects. It suggests starting with building a Lead Triaging Bot to understand LLM APIs and prompt engineering, followed by creating a Company Knowledge Assistant using Retrieval-Augmented Generation (RAG) to incorporate external data. The final step involves learning fine-tuning techniques by developing a Medical Advisor, emphasizing dataset preparation and model adaptation. AI

IMPACT Provides a structured approach for developers to gain practical skills in LLM application development through hands-on projects.

RANK_REASON The item describes a learning roadmap for LLM engineering, focusing on practical project implementation rather than a new release or research.

Read on dev.to — LLM tag →

• Company Knowledge Assistant
• Evals
• fine-tuning
• generative artificial intelligence
• GitHub
• LangChain
• Lead Triaging Bot
• LlamaIndex
• retrieval-augmented generation

• product
• other

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