Mastering LLM Engineering: The Complete Roadmap
1️⃣ LLM Fundamentals
Learn to work with pre-trained LLMs and open-source models for language tasks.
2️⃣ Vector Databases
Master storing, managing, and querying text data using embeddings and vector databases.
3️⃣ RAG Basics
Build retrieval-augmented generation pipelines with tools like LangChain and LlamaIndex.
4️⃣ LLM Deployment
Deploy LLMs to cloud or edge, monitor performance, and ensure ethical AI practices.
5️⃣ Advanced RAG
Master advanced retrieval, embeddings, and LLM evaluation techniques.
6️⃣ Inference Optimization
Optimize LLMs with quantization, pruning, and SLMs.
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