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: Pascal Jauffret on LinkedIn Yannick Donnelly on LinkedIn How AI Happens Sama