Transformers (and Attention) are Just Fancy Addition Machines
#Article #Machine_Learning #Artificial_Intelligence #Deep_Learning #Interpretability #Large_Language_Models #Transformers
via Towards Data Science
#Article #Machine_Learning #Artificial_Intelligence #Deep_Learning #Interpretability #Large_Language_Models #Transformers
via Towards Data Science
Towards Data Science
Transformers (and Attention) are Just Fancy Addition Machines
is a relatively new sub-field in AI, focused on understanding how neural networks function by reverse-engineering their internal mechanisms and representations, aiming to translate them into human-understandable algorithms and concepts. This is in contrast…
Why you should care about AI #interpretability - Mark Bissell, #Goodfire #AI
https://www.youtube.com/watch?v=6AVMHZPjpTQ
https://www.youtube.com/watch?v=6AVMHZPjpTQ
YouTube
Why you should care about AI interpretability - Mark Bissell, Goodfire AI
The goal of mechanistic interpretability is to reverse engineer neural networks. Having direct, programmable access to the internal neurons of models unlocks new ways for developers and users to interact with AI — from more precise steering to guardrails…
Tips for Setting Expectations in AI Projects
#Article #Artificial_Intelligence #Ai_Project_Management #Generative_Ai_Use_Cases #Interpretability #Product_Management #Project_Management
via Towards Data Science
#Article #Artificial_Intelligence #Ai_Project_Management #Generative_Ai_Use_Cases #Interpretability #Product_Management #Project_Management
via Towards Data Science
Telegraph
Tips for Setting Expectations in AI Projects
If you want your AI project to succeed, mastering expectation management comes first. When working with AI projets, uncertainty isn’t just a side effect, it can make or break the entire initiative. Most people impacted by AI projects don’t fully understand…