Hands-On Large Language Models
Language Understanding and Generation
Failed to add items
Add to cart failed.
Add to wishlist failed.
Remove from wishlist failed.
Follow podcast failed
Unfollow podcast failed
Listen with Audible free trial
New to Audible Prime Member exclusive: 2 credits with free trial
Hands-On Large Language Models
Buy Now for ₹667.71
-
Narrated by:
-
Derek Shoales
-
Written by:
-
Jay Alammar
-
Maarten Grootendorst
AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. With this book, listeners will learn practical tools and concepts they need to use these capabilities today.
You'll understand how to use pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; and use existing libraries and pretrained models for text classification, search, and clusterings.
This book also helps you understand the architecture of Transformer language models that excel at text generation and representation; build advanced LLM pipelines to cluster text documents and explore the topics they cover; build semantic search engines that go beyond keyword search, using methods like dense retrieval and rerankers; explore how generative models can be used, from prompt engineering all the way to retrieval-augmented generation; and gain a deeper understanding of how to train LLMs and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-context learning.
©2024 Jay Alammar and Maarten Pieter Grootendorst (P)2024 Ascent AudioPeople who bought this also bought...
-
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
- Concepts, Tools, and Techniques to Build Intelligent Systems (3rd Edition)
- Written by: Aurélien Géron
- Narrated by: Derek Shoales
- Length: 32 hrs and 14 mins
- Unabridged
-
Overall0
-
Performance0
-
Story0
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete...
-
Fundamentals of Software Architecture (2nd Edition)
- A Modern Engineering Approach
- Written by: Neal Ford, Mark Richards
- Narrated by: Perry Daniels
- Length: 16 hrs and 55 mins
- Unabridged
-
Overall0
-
Performance0
-
Story0
Salary surveys worldwide regularly place software architect in the top ten best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics.
-
Designing Data-Intensive Applications, 2nd Edition
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- Written by: Martin Kleppmann, Chris Riccomini
- Narrated by: Graham Mack
- Length: 27 hrs and 13 mins
- Unabridged
-
Overall0
-
Performance0
-
Story0
Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data...
-
Designing Distributed Systems (2nd Edition)
- Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes
- Written by: Brendan Burns
- Narrated by: Tom Beyer
- Length: 8 hrs and 33 mins
- Unabridged
-
Overall1
-
Performance1
-
Story1
Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.
-
Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- Written by: Alex Petrov
- Narrated by: Mike Chamberlain
- Length: 12 hrs and 51 mins
- Unabridged
-
Overall1
-
Performance1
-
Story1
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
-
Building Microservices
- Designing Fine-Grained Systems
- Written by: Sam Newman
- Narrated by: Theodore O'Brien
- Length: 21 hrs and 12 mins
- Unabridged
-
Overall6
-
Performance2
-
Story2
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
-
-
Building blocks of microservice
- By SELVAMANI on 11-01-24
-
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
- Concepts, Tools, and Techniques to Build Intelligent Systems (3rd Edition)
- Written by: Aurélien Géron
- Narrated by: Derek Shoales
- Length: 32 hrs and 14 mins
- Unabridged
-
Overall0
-
Performance0
-
Story0
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete...
-
Fundamentals of Software Architecture (2nd Edition)
- A Modern Engineering Approach
- Written by: Neal Ford, Mark Richards
- Narrated by: Perry Daniels
- Length: 16 hrs and 55 mins
- Unabridged
-
Overall0
-
Performance0
-
Story0
Salary surveys worldwide regularly place software architect in the top ten best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics.
-
Designing Data-Intensive Applications, 2nd Edition
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- Written by: Martin Kleppmann, Chris Riccomini
- Narrated by: Graham Mack
- Length: 27 hrs and 13 mins
- Unabridged
-
Overall0
-
Performance0
-
Story0
Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data...
-
Designing Distributed Systems (2nd Edition)
- Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes
- Written by: Brendan Burns
- Narrated by: Tom Beyer
- Length: 8 hrs and 33 mins
- Unabridged
-
Overall1
-
Performance1
-
Story1
Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.
-
Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- Written by: Alex Petrov
- Narrated by: Mike Chamberlain
- Length: 12 hrs and 51 mins
- Unabridged
-
Overall1
-
Performance1
-
Story1
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
-
Building Microservices
- Designing Fine-Grained Systems
- Written by: Sam Newman
- Narrated by: Theodore O'Brien
- Length: 21 hrs and 12 mins
- Unabridged
-
Overall6
-
Performance2
-
Story2
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
-
-
Building blocks of microservice
- By SELVAMANI on 11-01-24