See inside open-weight LLMs per message: KV cache, context growth and memory, predicted vs measured, across MHA, GQA, MLA, sliding-window and hybrid models.
Plain-Python RAG building blocks — LLMs, embeddings, chunking, retrieval and evaluation — as a migration path off LlamaIndex.
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