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This Day in AI Podcast
EP51: OpenAI's Sora, Gemini Pro 1.5 10M Context, ChatGPT Memory, GraphRAG, ChatRTX, Microsoft UFO...
Feb 16, 2024
OpenAI's Sora, a system for generating 1 minute videos that track objects, is discussed, along with Google's Gemini 1.5. The potential of larger context windows in multi-modal inputs to replace RAG is explored. Microsoft's GraphRAG, which aims to improve RAG using knowledge graphs, is introduced. Nvidia's ChatRTX is tested on high-end graphics cards, and Microsoft UFO, an open-source project using vision AI, is mentioned. OpenAI's memory feature in ChatGPT is highlighted, as well as recent developments at OpenAI, including a researcher leaving and fundraising for chip development.
01:29:19
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Quick takeaways
- Google's Gemini 1.5 offers a million-context window, enabling extensive data processing and positioning Google as a leader in AI development.
- Microsoft's Graph RAG introduces a hierarchical structure of semantic clusters, improving contextual understanding and enabling more accurate answers.
Deep dives
Gemini 1.5: Faster and Cheaper with a Million Context Window
Google announced Gemini 1.5, a next-generation AI model that uses a mixture of experts approach. It offers a million-context window, with potential for even larger windows in the future. The model, built on the Pro version, provides faster and more cost-effective processing. With the ability to process large amounts of data, Gemini 1.5 enables tasks that require extensive context, such as finding specific moments in videos or answering questions over massive code bases. While the model's full potential is yet to be realized, this advancement positions Google as a leading player in AI development.
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