The Big Book of Gen AI: Build LLM Apps That Actually Work.
A practical, step-by-step guide to building, evaluating, and deploying generative AI applications at enterprise scale – co-authored by Infocepts and Databricks?
Nine out of ten enterprise AI projects never reach ROI. The difference between the 10% that succeed and the 90% that fail isn’t technology – it’s execution. Successful teams know how to evaluate LLMs before deploying them.
They understand how to use Retrieval Augmented Generation (RAG) to make off-the-shelf models smarter with their own data. They track performance continuously instead of hoping things work.
Whether you’re building your first chatbot or scaling AI across 100+ use cases, this guide shows you what works – and what doesn’t.
Why Most Enterprise Gen AI Projects Fail (And How to Beat the Odds).
Packed with expert strategies, evaluation frameworks, and scalable methods, this guide empowers data and AI teams to deliver high-performing Gen AI applications that are accurate, explainable, and enterprise-ready.
The guide is free. No upsell. No follow-up calls unless you request them. Download the guide now and start building Gen AI systems that work.
Why Most Enterprise Gen AI Projects Fail (And How to Beat the Odds).
- Data Science & ML Leaders: Building Gen AI strategies, evaluating tools, deciding what to build vs. buy. This guide gives you a framework for making those decisions.
- CTOs & Tech Leaders: Evaluating Gen AI adoption for your organization. The guide helps you understand the technical landscape and identify realistic timelines.
