

ARCHIVE: Open Models (with Arthur Mensch) and Video Models (with Stefano Ermon)
19 snips May 24, 2024
Guests Arthur Mensch and Stefano Ermon discuss open foundation models and video models, emphasizing the importance of neutrality in technology and the regulation of AI applications. They explore the evolution of language models, the advantages of open-source collaboration, and the future prospects of specialized AI models. Additionally, they delve into the challenges and advancements in generating longer videos, showcasing how physics aids in accurate predictions and data compression in 3D models.
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Openness in AI
- Openness fueled early AI progress, with labs sharing results.
- GPT-3's arrival in 2020 marked a shift towards opacity and commercialization.
Mistral's Open Source Approach
- Mistral chose open source for ideological and pragmatic reasons.
- Openness fosters community engagement and addresses developer needs.
Mistral 7B Use Cases
- Companies fine-tuned Mistral 7B for specific tasks, achieving GPT-3.5 level performance at lower costs.
- Community efforts extended context length and added image capabilities, showcasing the model's versatility.