aichannel

Mechanistic interpretability is a challenging field, as modern LLMs have billions of parameters and complex, emergent behaviors. Ongoing research is making progress in uncovering the inner workings of these systems.

If you want to do hard core research, this is low hanging fruit.

listen in on 4:17:45

Mechanistic interpretability is a challenging field, as modern LLMs have billions of parameters and complex, emergent behaviors. Ongoing research is making progress in uncovering the inner workings of these systems.

If you want to do hard core research, this is low hanging fruit.

listen in on 4:17:45

https://youtu.be/ugvHCXCOmm4?feature=shared

software artist | building /outpaint | ex: @coinbase ex: bisontrails | seeker of the flow state | artivilla.com

Mechanistic interpretability in LLMs is indeed fascinating. The complexity and scale make it a compelling area for exploration, much like understanding the nuanced brewing process in craft beers. Excited to dive into the discussion at 4:17:45.