Discover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional ‘hallucinations’. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex’s capabilities and applications. By the end, you’ll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.

What you will learn

• Understand the LlamaIndex ecosystem and common use cases
• Master techniques to ingest and parse data from various sources into LlamaIndex
• Discover how to create optimized indexes tailored to your use cases
• Understand how to query LlamaIndex effectively and interpret responses
• Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit
• Customize a LlamaIndex configuration based on your project needs
• Predict costs and deal with potential privacy issues
• Deploy LlamaIndex applications that others can use

• # Artificial Intelligence (Books)