Computers & Internet Books:

Mastering Large Language Models

Advanced techniques, applications, cutting-edge methods, and top LLMs
Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!

Format:

Paperback / softback
$108.00
Available from supplier

The item is brand new and in-stock with one of our preferred suppliers. The item will ship from a Mighty Ape warehouse within the timeframe shown.

Usually ships in 3-4 weeks
Free Delivery with Primate
Join Now

Free 14 day free trial, cancel anytime.

Buy Now, Pay Later with:

4 payments of $27.00 with Afterpay Learn more

6 weekly interest-free payments of $18.00 with Laybuy Learn more

Availability

Delivering to:

Estimated arrival:

  • Around 21 Jun - 3 Jul using International Courier

Description

Transform your business landscape with the formidable prowess of large language models (LLMs). The book provides you with practical insights, guiding you through conceiving, designing, and implementing impactful LLM-driven applications. This book explores NLP fundamentals like applications, evolution, components and language models. It teaches data pre-processing, neural networks, and specific architectures like RNNs, CNNs, and transformers. It tackles training challenges, advanced techniques such as GANs, meta-learning, and introduces top LLM models like GPT-3 and BERT. It also covers prompt engineering. Finally, it showcases LLM applications and emphasizes responsible development and deployment.

Author Biography:

Sanket Subhash Khandare is a dynamic and influential technology executive with over 18 years of experience in product leadership and intrapreneurship. Notably, he has been spearheading various AI initiatives, predominantly in Large Language Models (LLMs), while prioritizing real customer value over the mere integration of AI into solutions. With a proven track record of scaling up technology companies through innovative SaaS-based products, driving high exponential growth,
Release date NZ
April 12th, 2024
Pages
280
Audience
  • General (US: Trade)
ISBN-13
9789355519658
Product ID
38740892

Customer reviews

Nobody has reviewed this product yet. You could be the first!

Write a Review

Marketplace listings

There are no Marketplace listings available for this product currently.
Already own it? Create a free listing and pay just 9% commission when it sells!

Sell Yours Here

Help & options

Filed under...