Ronan Collobert
Researcher contributing to efficient neural-network/LLM systems and quantization, including work on memory- and compute-efficient training of large models.
AI Bio
Ronan Collobert pushes the development of efficient machine learning frameworks, specifically highlighting the capabilities of MLX on Apple silicon. Ronan Collobert consistently emphasizes the importance of fast GPU kernels and collaboration, as seen in his posts about hiring researchers and engineers to work on MLX. By sharing concrete examples, such as the implementation of Llama v1 7B model with MLX, Ronan Collobert demonstrates his distinctive angle on making machine learning research more accessible and efficient.
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