On today’s episode, we’re joined by Andrew Ng, Founder of DeepLearning.AI, Managing General Partner of AI Fund and Executive Chairman of LandingAI. We explore the immense opportunities within AI, focusing on large language and multi-modal models. We also discuss managing the risks associated with AI models and the potential for future innovation in the field. Key Takeaways: (02:03) The impact of AI education. (03:51) Large models drive industry-wide opportunities. (04:42) Deep learning possibilities are far from exhausted. (06:06) Openness reduces AI risks. (07:12) Easier switching between AI model providers. (09:17) Openness fosters innovation in AI. (11:24) Guardrails help manage AI risks. (14:37) Hybrid models balance edge and cloud processing. (17:37) The potential of smaller model applications. (20:01) Design patterns emerge for agentic workflows. Resources Mentioned:

Andrew Ng - https://www.linkedin.com/in/andrewyng/ DeepLearning.AI - https://www.linkedin.com/company/deeplearningai/ AI Fund - https://www.linkedin.com/company/aifund/ LandingAI - https://www.linkedin.com/company/landing-ai/ PyTorch -  https://pytorch.org 

React - https://reactjs.org

TensorFlow - https://www.tensorflow.org

Introducing Multimodal Llama 3.2 - https://www.deeplearning.ai/short-courses/introducing-multimodal-llama-3-2/

Prompt Engineering with Llama 2 & 3 - https://www.deeplearning.ai/short-courses/prompt-engineering-with-llama-2/

 

 

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