AI 101: What is Continual Learning?
Can models add new knowledge without wiping out what they already know? We look at why continual learning is becoming important right now and explore the new methods emerging for it, including Google’s Nested Learning and Meta’s Sparse Memory Fine-tuning
🎙️What AI Is Missing for Real Reasoning?
Axiom Math’s Carina Hong on how to build an AI mathematician
🎙️What AI Is Missing for Real Reasoning?
Axiom Math’s Carina Hong on how to build an AI mathematician
AI 101: What is Continual Learning?
Can models add new knowledge without wiping out what they already know? We look at why continual learning is becoming important right now and explore the new methods emerging for it, including Google’s Nested Learning and Meta’s Sparse Memory Fine-tuning
FOD#128: Universe of Incredible Models
An insanely saturated week with models you actually need to know about
Archive
AI 101: What is Continual Learning?
Can models add new knowledge without wiping out what they already know? We look at why continual learning is becoming important right now and explore the new methods emerging for it, including Google’s Nested Learning and Meta’s Sparse Memory Fine-tuning
