Unpacking Meta's SAM-2 with Sama Experts Pascal & Yannick

Episode Notes

Pascal & Yannick delve into the kind of human involvement SAM-2 needs before discussing the use cases it enables. Hear all about the importance of having realistic expectations of AI, what the cost of SAM-2 looks like, and the the importance of humans in LLMs.

Key Points From This Episode:

• Introducing Pascal Jauffret and Yannick Donnelly to the show.
• Our guests explain what the SAM-2 model is.
• A description of what getting information from video entails.
• What made our guests interested in researching SAM-2.
• A few things that stand out about this tool.
• The level of human involvement that SAM-2 needs.
• Some of the use cases they see SAM-2 enabling.
• Whether manually annotating is easier than simply validating data.
• The importance of setting realistic expectations of what AI can do.
• When LLM models work best, according to our experts.
• A discussion about the cost of the models at the moment.
• Why humans are so important in coaching people to use models.
• What we can expect from Sama in the near future.

Quotes:

“We’re kind of shifting towards more of a validation period than just annotating from scratch.” — Yannick Donnelly [0:22:01]

“Models have their place but they need to be evaluated.” — Yannick Donnelly [0:25:16]

“You’re never just using a model for the sake of using a model. You’re trying to solve something and you’re trying to improve a business metric.” — Pascal Jauffret [0:32:59]

“We really shouldn’t underestimate the human aspect of using models.” — Pascal Jauffret [0:40:08]

Links Mentioned in Today’s Episode:

Pascal Jauffret on LinkedIn

Yannick Donnelly on LinkedIn

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