Build production-ready LLMs
Like a pro in just 1 week
In this guide, we unveil insider secrets from highly paid LLM engineers to empower you to build AI features like a pro.
What will you learn
from this book
Dive deep into the world of LLMs evaluation frameworks with our unparalleled guide, crafted exclusively for AI engineers like you. This isn’t just a guide; it’s your passport to mastering the art of building high-quality AI products and staying ahead in the game.
How to evaluate LLMs
Our guide unveils the art of evaluating LLMs output automatically. Say good bye to manual reading and judging output.
50+ evaluation techniques
Ever wondered about the 50+ powerful evaluation techniques that top-tier LLM engineers use? Wonder no more! It’s at your fingertips now.
Real-life use-cases
Evaluation techniques depends on use-cases. Explore 50+ real-life use cases. Not just theory; it’s practical guidance that puts you into action quickly
What’s inside
Chapter1. Guide Overview
Chapter2. Evaluation Framework
Chapter3. Elements of Evaluation Framework
Chapter4. How use-case decides the evaluation framework
Chapter5. Different use-cases
Chapter6. Teaser Part-2
Ready to turbocharge your AI game?
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What people are saying
Still not convinced, then let’s hear from other AI engineers who got benefit from this e-book.
Dr Somesh Mohapatra
AI researcher, MIT
Have been working on LLMs and prompt engineering for few years now, this guide really covers some good industry techniques and hacks.
★★★★★
Shikhar Verma
CTO, Speaktrack
Learnt lots of new ways to write good prompts or what they call now – smart prompts. Prompt formula in this guide really puts you into action right away.
★★★★★
Gaurav Kumar
ML Engineer, Moveworks
One of my team members shared this guide when we were brainstorming on prompt ideas to improve our current AI feature. This guide was like a missing part of the puzzle.
★★★★★
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Hi, I’m Akshat Anand.
I’m an AI engineer and prompt engineer
I have been working on language models for years, I summarized all my tricks, and interviews of top AI engineers from Microsoft, Google, Intel, and research papers to craft this guide to democratize all key hacks.
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This isn’t just a guide; it’s your passport to mastering the art of building AI products and staying ahead.