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52K views · 533 reactions | Agentic AI, taught by Andrew Ng, is now available worldwide. Learn to design and evaluate AI systems that plan, reflect, and collaborate across multiple steps, built in raw Python. Available exclusively at DeepLearning.AI. Enroll now  https://hubs.la/Q03My0HX0 | DeepLearning.AI | Facebook
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It’s here! Andrew Ng’s new course: Generative AI for Everyone! Learn how to use generative AI in your life and work: ✅Learn what generative AI can (and can’t) do ✅Get an overview of AI tools and their real-world use cases ✅Try out tips for effective prompting Enroll today to get started! https://hubs.la/Q027nBYV0 | DeepLearning.AI
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New Course: Reinforcement Fine-Tuning LLMs with GRPO! Learn to use reinforcement learning to improve your LLM performance in this short course, built in collaboration with Predibase, and taught by Travis Addair, its Co-Founder and CTO, and Arnav Garg, its Senior Engineer and Machine Learning Lead. Reasoning models have been one of the most important developments in LLMs. Reinforcement Fine-Tuning (RFT) uses rewards to encourage LLMs to find solutions to multi-step reasoning tasks such as solving
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Building a machine learning model isn’t just about finding the right algorithm—it’s about the right process. In Machine Learning in Production, Andrew Ng breaks down the iterative loop of model development: training, error analysis, refining hyperparameters, and improving data. Getting to a high test set accuracy is one thing, but aligning your model with real-world business metrics? That’s where the real challenge begins. Learn how to bridge the gap between models and impact: https://hubs.la/Q0
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