A comprehensive guide to over 50 generative AI tools to enhance business productivity and creativity, with a focus on ChatGPT and prompt engineering.
From tokenization to transformers. Build production NLP systems for text classification, named entity recognition, sentiment analysis, and question answering.
Bridge the gap between business and AI engineering. Learn to define AI product requirements, prioritize ML features, communicate with data science teams, and launch successful AI-powered products.
Start your journey into generative ai with foundational concepts and hands-on exercises designed for newcomers.
Build on your existing knowledge with intermediate generative ai techniques and real-world applications.
Push the boundaries of generative AI. Explore diffusion models, fine-tune foundation models, build RAG systems, and implement production-ready generative applications.
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