Meta Business, Innovation and Technology Podcast Unlocking the Future of AI: How LLMs Are Redefining What's Possible
8 snips
Nov 5, 2024 
Join Andrew Ng, a leading figure in AI and the mind behind DeepLearning.AI, as he dives into the transformative power of large language models and open-source innovations. He emphasizes the untapped potential of deep learning and the importance of reducing AI risks through openness. Ng discusses the balance between edge and cloud processing in hybrid AI models and highlights the significance of adaptability in AI applications. With a keen focus on education and ethical guardrails, he offers an inspiring vision for the future of artificial intelligence.
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AI Application Development Boom
- The next few years will bring exciting AI application development.
- Large language and multimodal models create many opportunities across industries.
Open Models and Provider Switching
- Open models like LLaMA allow for easier switching between AI providers if issues arise with pricing, latency, or other factors.
- This flexibility is beneficial for developers.
Managing AI Hallucinations
- Hallucinations in AI are a problem but may be less risky for businesses than some fear.
- Techniques like double-checking and guardrails can mitigate these risks.