Big Book Of GenAI

2024

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AI-generated summary

1) This comprehensive guide provides actionable strategies, code samples, and architectural blueprints for building, fine-tuning, and evaluating production-quality Generative AI applications using the Databricks Data Intelligence Platform.
2) What's inside:
- Detailed walkthroughs of the GenAI journey: foundation models (DBRX), prompt engineering, RAG with structured/unstructured data, fine-tuning (LoRA/QLoRA), and pretraining from scratch.
- Real-world use cases and code implementations covering automated product review analysis, custom documentation generation, and cost-effective Stable Diffusion training.
- Best practices and methodologies for LLM evaluation, monitoring retrieval systems, and using MLflow for automated assessment.
3) Tags: Generative AI, Large Language Models, Databricks, Fine-Tuning, Retrieval Augmented Generation

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