Recommended Resources

Data scientists

Essential content and best practices

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The world of data scientists is rapidly changing. Stay one step ahead with the latest thinking, resources and best practices hand-selected by Databricks experts — all in one place.

Get access to all our recommended resources, including but not limited to:

  • The Big Book of Generative AI: Get best practices and code samples for successfully building production-quality generative AI applications
  • A Compact Guide to Large Language Models: Get a thorough, yet concise, overview of the latest breakthroughs in natural language processing and large language models (LLMs)
  • A Compact Guide to Retrieval Augmented Generation (RAG): Learn the fundamentals and key components of RAG, and understand what’s required to properly evaluate , implement and support productionized RAG applications.
  • A Compact Guide to Fine-tuning and Building Custom LLMs: Learn how to fine-tune or create your own LLM-customized to your specific business context and enterprise data – including techniques and gotchas you should know for data preparation, training, and evaluation.
  • The Big Book of MLOps — 2nd Edition: Learn the key components of an MLOps reference architecture and get the latest strategies for deploying generative AI and machine learning models efficiently
  • The Big Book of Machine Learning Use Cases — 2nd Edition: Your complete how-to guide to putting machine learning to work — plus use cases, code samples and notebooks