Mark Zuckerberg and Jensen Huang at Siggraph 2024, in conversation about the future of AI.

Claude 3.5 Sonnet is the new benchmark for AI. Is it better than ChatGPT?!?!

https://spectrum.ieee.org/chatgpt-for-coding?utm_source=tldrai My take: it has just memorized before 2021 with being exposed to training models. Again, no critical thinking. Of course it will improve so I need to be kind to our SKYNET overlords

NVIDIA released FREE online courses in AI.Here are 8 courses you can't afford to miss in 2024:__________1. Generative AI ExplainedWhat you'll learn:• Generative AI and how it works.• Various Generative AI applications.• Challenges and opportunities in Generative AILink: https://lnkd.in/gTAJ-sKa__________2. Building A Brain in 10 MinutesWhat you'll learn:• Exploring how neural networks use data to learn• Understanding the math behind a neuronLink: https://lnkd.in/gvVrqwZF__________3. Augment your LLM with Retrieval Augmented Generation:What you'll learn:• Basics of Retrieval Augmented Generation• RAG retrieval process• NVIDIA AI Foundations and RAG model componentsLink: https://lnkd.in/g8hYube9__________4. AI in the Data Center:What you'll learn:• AI use cases, Machine Learning, Deep Learning, and their workflows.• GPU architecture and its impact on AI.• Deep learning frameworks, and deployment considerations.Link: https://lnkd.in/gvNzawxe__________5. Accelerate Data Science Workflows with Zero Code Changes:What you'll learn:• Learn benefits of unified CPU and GPU workflows• GPU-accelerate data processing and ML without code changes• Experience faster processing timesLink: https://lnkd.in/gRmxxVn8__________6. Mastering Recommender Systems:What you'll learn:• Strategies from Kaggle Grandmasters on building recommendation systems for e-commerce.• Cover 2-stage models, candidate generation, feature engineering, and ensembling.Link: https://lnkd.in/gdHtJbVS__________7. Networking Introduction:What you'll learn:• Learn about networks and their importance.• Explore Ethernet basics and data forwarding in Ethernet networks.• Discuss network components, requirements, OSI model, TCP/IP protocolLink: https://lnkd.in/gqX2CJMu__________8. How to Perform Large-Scale Image ClassificationWhat you'll learn:• Learn large-scale image classification• Cover challenges, modeling techniques AND validation strategies.Link: https://lnkd.in/gWRSha8P_________𝐁𝐨𝐧𝐮𝐬: Download these 3000+ Powerful Prompts to simplify your day to day work and life: 🔗 https://lnkd.in/gYHHfHtg and get access to my newsletter for FREE!💡Share this knowledge with your network to help others learn AI.

Let's see all the news that happened in the last few days! Worth seeing :)