How AI Happens Unpacking Meta's SAM-2 with Sama Experts Pascal & Yannick
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: