Artículo: AMZ-B0DNR1SLMP

PyTorch LLM: Train, Fine-Tune, and Deploy Large Language Models for Real-World Applications

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Amazon

Sobre este producto

Core Foundations: Understand the principles behind LLMs and transformer-based architectures.
Training and Fine-Tuning: Build models from scratch or fine-tune pre-trained models for specialized tasks like chatbots, summarization, and text classification.
Hands-On Code: Over 50 detailed, fully-tested code examples that you can run and adapt for your own projects.
Real-World Applications: Explore case studies in industries such as finance, healthcare, retail, and education.
Advanced Techniques: Dive into distributed computing, multi-GPU training, and optimizations for large-scale models.
Deployment Strategies: Learn how to deploy models with PyTorch on cloud platforms such as AWS, Google Cloud, and Azure.
Model Interpretability: Gain insights into model decisions using tools like Captum to ensure fairness and transparency.
Data Scientists and ML Engineers looking to master modern NLP and LLM development.
Software Engineers aiming to integrate advanced AI features into applications.
AI Researchers exploring cutting-edge PyTorch capabilities and experimentation.
AI Enthusiasts and Learners eager to gain practical, job-ready skills in deep learning and NLP.

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PyTorch LLM: Train, Fine-Tune, and Deploy Large Language Models for Real-World Applications

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