Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practicesKey FeaturesBuild and refine LLMs step by step, covering data preparation, RAG, and fine-tuningLearn essential skills for deploying and monitoring LLMs, ensuring optimal performance in productionUtilize preference alignment, evaluation, and inference optimization to enhance performance and adap...

Master Graph Neural Networks from fundamentals to production. Learn DeepWalk, GCN, GAT, GraphSAGE, Graph Transformers, and more with hands-on Python implementations. New chapters on graph databases, LLMs, and foundation models.Key FeaturesUnderstand and implement core GNN architectures including GCN, GAT, GraphSAGE, and Graph TransformersApply GNNs to real-world tasks like traffic forecasting, anomaly detection, recommender systems, and GraphRAG

Design robust graph neural networks with PyTorch Geometric by combining graph theory and neural networks with the latest developments and apps Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesImplement -of-the-art graph neural architectures in PythonCreate your own graph datasets from tabular dataBuild powerful traffic forecasting, recommender systems, and anomaly detection applicationsBook Description

Kick-start your agentic AI career with insights from leaders at Google, Microsoft, and Liquid AI. Learn the skills, strategies, and tools to build intelligent agents, transition faster, and lead in the era of autonomous systems.Key FeaturesDiscover the only comprehensive career roadmap for the Generative AI eraLearn directly from top industry experts, leaders, and AI innovatorsBuild future-proof skills, from prompt engineering to ethical AI str...