Andrew Ng: The Rise Of AI Agents And Agentic Reasoning
This appears to be a transcript of a presentation on AI trends, specifically focusing on agentic workflows, visual AI, and large language models. The speaker discusses several key points, including:
- Agentic Workflows: The concept of building AI systems that can perform tasks that are typically done by humans, such as reading text or images and generating text.
- Visual AI: The ability to process and analyze visual data from images and videos, which is becoming increasingly important for various applications.
- Large Language Models: The advancements in language models that enable them to not only answer human questions but also perform tasks like tool use.
The speaker highlights four key trends:
- Agentic AI: The ability of agentic workflows to speed up token generation and perform tasks more efficiently.
- Tuning Large Language Models: The development of large language models that can support tool use, enabling agentic workflows to perform a wider range of tasks.
- Data Engineering’s Importance: The increasing need for data engineering expertise in managing unstructured data and deploying it effectively.
- The Text Processing Revolution: The text processing revolution has already arrived, while the image processing revolution is just beginning, which will enable many businesses to get more value out of visual data.
The speaker concludes by emphasizing that this is a great time to be a builder, with agentic AI expanding the set of possible applications and enabling new uses for visual AI.