Introducing three new models for Nendo, trained by our community member pharoAIsanders:
• Model 1 generates finest vintage Dub music
• Model 2 generates Boom Bap Hip Hop tunes
• Model 3 generates rolling Drum'n'Bass bangers
All models are extensive, high quality finetunes of musicgen, that open up a universe of new sounds.
Try them with this easy to use Nendo colab: https://t.co/YfJ6xQ6MlM
Download the models:
https://t.co/QL4QaFBgme
https://t.co/7QmbUOik7y https://t.co/OJnySUfJ5B
Q*? 2015: reinforcement learning prompt engineer in Sec. 5.3 of “Learning to Think...” https://t.co/5FQEb7Cc3F. A controller neural network C learns to send prompt sequences into a world model M (e.g., a foundation model) trained on, say, videos of actors. C also learns to interpret answers of M, extracting algorithmic information from M.
Acid test: does C learn its control tasks faster with M than without? Is it cheaper to learn C’s tasks from scratch, or to address algorithmic info in M in some computable way, enabling things such as abstract hierarchical planning and reasoning?
2018: collapsing C and M into a single network https://t.co/7NLeiMnFcq using the neural network distillation of 1991 https://t.co/E9GjXsamkE
1990: online planning & reinforcement learning with recurrent world models and artificial curiosity / GANs: https://t.co/OBoGmuZWab