

01: Applications of Generative AI with NVIDIA's Jim Fan
16 snips Mar 22, 2023
Jim Fan, a research scientist at NVIDIA with a PhD from Stanford, dives into the fascinating world of generative AI. He discusses the groundbreaking advancements from the recent NVIDIA GTC event and the transformative power of multimodal technology. The conversation highlights how AI alignment with human values enhances ethical standards and explores the complexities of utilizing generative AI in coding. Lastly, Jim reflects on AI's potential to revolutionize software development, emphasizing the shift towards collaboration and communication skills.
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Harry Potter Processing Cost
- Processing "Harry Potter" with ChatGPT costs $4.32, less than a San Francisco coffee.
- This illustrates the affordability of current LLMs.
Data Flywheel Effect
- LLMs benefit from data flywheels. Increased usage provides more user data, leading to better models.
Evolving Human Alignment
- Human alignment in LLMs is becoming more sophisticated. OpenAI hires programmers to curate data and tutor models like GPT-4.