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Large Language Models
Practical Guide to Build LLM From the beginning
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Large Language Models: Practical Guide to Build LLM from Scratch is your comprehensive roadmap to understanding, building, and deploying state-of-the-art language models. This hands-on guide takes you through the complete lifecycle of creating large language models (LLMs) from the ground up, from foundational theory to real-world application. In this book, you will: * Master the fundamentals: Dive deep into the key components of machine learning, neural networks, and transformers, ensuring you have a solid grasp of the principles behind LLMs. * Learn step-by-step model construction: Follow a s...
Large Language Models: Practical Guide to Build LLM from Scratch is your comprehensive roadmap to understanding, building, and deploying state-of-the-art language models. This hands-on guide takes you through the complete lifecycle of creating large language models (LLMs) from the ground up, from foundational theory to real-world application. In this book, you will: * Master the fundamentals: Dive deep into the key components of machine learning, neural networks, and transformers, ensuring you have a solid grasp of the principles behind LLMs. * Learn step-by-step model construction: Follow a structured approach to design, train, and fine-tune your own LLM, with detailed insights into architectures like GPT, BERT, and beyond. * Understand data preprocessing: Gain practical experience in sourcing, cleaning, and preparing large text datasets to optimize model performance. * Explore model optimization: Discover techniques like model distillation, sparse models, and quantization to enhance efficiency, scalability, and memory usage. * Apply LLMs to real-world tasks: See how LLMs can be fine-tuned for various applications, including sentiment analysis, machine translation, and content generation. * Address ethical concerns: Learn how to mitigate bias, protect privacy, and ensure transparency in large-scale AI models. * Engage with the community: Learn how to collaborate with open-source contributors, participate in research, and join AI-driven competitions to sharpen your skills. and also * Model Optimization for LLMs * AI Model Deployment * Open-Source LLMs * AI Model Training Techniques * Practical AI Applications * Advanced NLP Techniques * AI Research and Development * AI Model Evaluation * Machine Learning Libraries (TensorFlow, PyTorch) * AI and Cloud Computing * Language Model Fine-tuning * AI Data Preprocessing * AI for Content Generation * AI Chatbots and Assistants Whether you're a developer, researcher, or AI enthusiast, Large Language Models: Practical Guide to Build LLM from Scratch equips you with the knowledge and tools to contribute to the next generation of AI innovations. Embark on your journey to create smarter, more efficient language models and unlock the vast potential of artificial intelligence.
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