You are here |
boring-guy.sh | ||
| | | |
nlp.seas.harvard.edu
|
|
| | | | ||
| | | |
distill.pub
|
|
| | | | With diverse environments, we can analyze, diagnose and edit deep reinforcement learning models using attribution. | |
| | | |
nlp.seas.harvard.edu
|
|
| | | | The Annotated Transformer | |
| | | |
scorpil.com
|
|
| | In Part One of the "Understanding Generative AI" series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks. These tokens are crucial in shaping how AI interprets and processes language. Building upon this foundational knowledge, we are now ready to explore Neural Networks - the cornerstone technology underpinning all Artificial Intelligence research. A Short Look into the History Neural Networks, as a technology, have their roots in the 1940s and 1950s. |