pearson sep 2023 (49 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware -Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware -A Practical Guide to Better, Cleaner Code with Functional Programming. In Functional Design, renowned software engineer Robert C. Martin ('Uncle Bob') explains how and why to use functional programming to build better systems for real customers. Martin compares conventional object-oriented coding structures in Java to those enabled by functional languages, identifies the best roles for each, and shows how to build better systems by judiciously using them in context. Martin's approach is pragmatic, minimizing theory in favor of 'in the-trenches' problem-solving. Through accessible examples, working developers will discover how the easy-to-learn, semantically rich Clojure language can help them improve code cleanliness, design, discipline, and outcomes. Martin examines well-known SOLID principles and Gang of Four Design Patterns from a functional perspective, revealing why patterns remain extremely valuable to functional programmers, and how to use them to achieve superior results. 249 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -A Practical Guide to Better, Cleaner Code with Functional Programming. In Functional Design, renowned software engineer Robert C. Martin ('Uncle Bob') explains how and why to use functional programming to build better systems for real customers. Martin compares conventional object-oriented coding structures in Java to those enabled by functional languages, identifies the best roles for each, and shows how to build better systems by judiciously using them in context. Martin's approach is pragmatic, minimizing theory in favor of 'in the-trenches' problem-solving. Through accessible examples, working developers will discover how the easy-to-learn, semantically rich Clojure language can help them improve code cleanliness, design, discipline, and outcomes. Martin examines well-known SOLID principles and Gang of Four Design Patterns from a functional perspective, revealing why patterns remain extremely valuable to functional programmers, and how to use them to achieve superior results. 249 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, hands-on exercises, and more. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, parameters, and performance. You'll find even more resources on the companion website, including sample datasets and code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and ChatGPT), Google (BERT, T5, and Bard), EleutherAI (GPT-J and GPT-Neo), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and moreUse APIs and Python to fine-tune and customize LLMs for your requirementsBuild a complete neural/semantic information retrieval system and attach to conversational LLMs for retrieval-augmented generationMaster advanced prompt engineering techniques like output structuring, chain-ofthought, and semantic few-shot promptingCustomize LLM embeddings to build a complete recommendation engine from scratch with user dataConstruct and fine-tune multimodal Transformer architectures using opensource LLMsAlign LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF)Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind 'By balancing the potential of both open- and closed-source models, Quick Start Guide to Large Language Models stands as a comprehensive guide to understanding and using LLMs, bridging the gap between theoretical concepts and practical application.'--Giada Pistilli, Principal Ethicist at HuggingFace 'A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field.'--Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. 251 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, hands-on exercises, and more. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, parameters, and performance. You'll find even more resources on the companion website, including sample datasets and code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and ChatGPT), Google (BERT, T5, and Bard), EleutherAI (GPT-J and GPT-Neo), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and moreUse APIs and Python to fine-tune and customize LLMs for your requirementsBuild a complete neural/semantic information retrieval system and attach to conversational LLMs for retrieval-augmented generationMaster advanced prompt engineering techniques like output structuring, chain-ofthought, and semantic few-shot promptingCustomize LLM embeddings to build a complete recommendation engine from scratch with user dataConstruct and fine-tune multimodal Transformer architectures using opensource LLMsAlign LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF)Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind 'By balancing the potential of both open- and closed-source models, Quick Start Guide to Large Language Models stands as a comprehensive guide to understanding and using LLMs, bridging the gap between theoretical concepts and practical application.'--Giada Pistilli, Principal Ethicist at HuggingFace 'A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field.'--Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. 251 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -A Practical Guide to Better, Cleaner Code with Functional Programming.

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware -The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, hands-on exercises, and more. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, parameters, and performance. You'll find even more resources on the companion website, including sample datasets and code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and ChatGPT), Google (BERT, T5, and Bard), EleutherAI (GPT-J and GPT-Neo), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and moreUse APIs and Python to fine-tune and customize LLMs for your requirementsBuild a complete neural/semantic information retrieval system and attach to conversational LLMs for retrieval-augmented generationMaster advanced prompt engineering techniques like output structuring, chain-ofthought, and semantic few-shot promptingCustomize LLM embeddings to build a complete recommendation engine from scratch with user dataConstruct and fine-tune multimodal Transformer architectures using opensource LLMsAlign LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF)Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind 'By balancing the potential of both open- and closed-source models, Quick Start Guide to Large Language Models stands as a comprehensive guide to understanding and using LLMs, bridging the gap between theoretical concepts and practical application.'--Giada Pistilli, Principal Ethicist at HuggingFace 'A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field.'--Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Are you stuck in a job you hate Are you unsure about what you really want to do How to Get a Job You Love is your all-in-one career change programme from the UK's best-known career coach. Taking you from being stuck to job bliss, you'll be able to work out what it is you want to do, get the confidence to explore, and make your job hunt or career change happen. - Understand the psychological factors that get in the way of change, including self-talk and insider syndrome. - Learn from other people's stories and the author's knowledge of how job markets and external recruiters operate. - A practical toolkit with exercises, reflection questions, tips, and access to a free online career diagnostic tool. Find a job that feels worth getting up for on a Monday morning.

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes: