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. Through this book's visually educational nature, readers 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.
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Hands-On Large Language Models book
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Hands-On Large Language Models 1st Edition
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Large language models book
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LLMs language understanding and generation
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Jay Alammar LLM book
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Maarten Grootendorst LLM book
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Hands on LLMs guide
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Practical large language models
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LLMs for NLP applications
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Natural language processing LLM book
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Transformer models book
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Language models for AI developers
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Generative AI language models book
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LLM training and fine tuning book
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LLM embeddings and vector search
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Prompt engineering LLM book
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Text generation with LLMs
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Language understanding with LLMs
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Applied NLP with large language models
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LLM architectures explained
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AI language models guide
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LLMs in production book
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NLP deep learning models book
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Generative AI for NLP book
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LLM applications book
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Machine learning NLP book
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LLM engineering fundamentals
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LLM model evaluation book
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LLM pipelines and workflows
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LLM fine tuning techniques
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LLM inference and deployment
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LLM research and practice
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Modern NLP systems book
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LLM learning resource
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Language AI systems book
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Hands on AI language models
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LLM book for professionals
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NLP with transformers book
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LLM education textbook
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