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Large Language Models (LLMs)
In this tutorial, I focus only on CPU-based LLM development, which is well-suited for learning and experimentation.
  1. Introduction
  2. Installation
  3. Running Models
  4. Tokenization
  5. Embeddings
  6. Text Classification
  7. Text Clustering
  8. Topic Modeling
  9. Semantic Search
  10. Retrieval-Augmented Generation (RAG)
  11. Prompt Engineering
Appendix
  1. Python
References

Books

Hands-On Large Language Models

Hands-On Large Language Models

Authors: Jay Alammar, Marten Grootendorst
Publisher: O'Reilly Media (September 2024)
ISBN: 978-1098150969
Generative AI in Action

Generative AI in Action

Authors: Amit Bahree
Publisher: Manning (October 2024)
ISBN: 978-1633436947
Building LLM Powered Applications

Building LLM Powered Applications

Authors: Valentina Alto
Publisher: Packt Publishing (May 2024)
ISBN: 978-1835462317
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