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Machine Learning

Jul 1, 2024

Kevin-32B: Multi-Turn RL  for Writing CUDA Kernels

We explore reinforcement learning in a multi-turn setting, using intermediate feedback from the environment, and masking model thoughts to avoid exploding context over multiple turns.

Machine Learning

Jul 1, 2024

Kevin-32B: Multi-Turn RL  for Writing CUDA Kernels

We explore reinforcement learning in a multi-turn setting, using intermediate feedback from the environment, and masking model thoughts to avoid exploding context over multiple turns.

Machine Learning

Jul 1, 2024

Kevin-32B: Multi-Turn RL for Writing CUDA Kernels

We explore reinforcement learning in a multi-turn setting, using intermediate feedback from the environment, and masking model thoughts to avoid exploding context over multiple turns.

Machine Learning

Jul 1, 2024

Kevin-32B: Multi-Turn RL for Writing CUDA Kernels

We explore reinforcement learning in a multi-turn setting, using intermediate feedback from the environment, and masking model thoughts to avoid exploding context over multiple turns.

Machine Learning

Jul 1, 2024

Become a digital nomad by working in marketing

We explore reinforcement learning in a multi-turn setting, using intermediate feedback from the environment, and masking model thoughts to avoid exploding context over multiple turns.

Machine Learning

Jul 1, 2024

Become a digital nomad by working in marketing

We explore reinforcement learning in a multi-turn setting, using intermediate feedback from the environment, and masking model thoughts to avoid exploding context over multiple turns.

Machine Learning

Jul 1, 2024

How to give goofy talks about marketing

We explore reinforcement learning in a multi-turn setting, using intermediate feedback from the environment, and masking model thoughts to avoid exploding context over multiple turns.

Machine Learning

Jul 1, 2024

How to give goofy talks about marketing

We explore reinforcement learning in a multi-turn setting, using intermediate feedback from the environment, and masking model thoughts to avoid exploding context over multiple turns.

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