Scaling AI Models
Bowen discusses the potential for training a seven billion parameter model with significant token capacity, while Jeffrey highlights the engineering hurdles related to sharding and GPU communication. He emphasizes the importance of collaboration in the open-source community to address these challenges, noting that while progress is being made, the open-source space often lags behind closed providers.In this clip
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AI + a16z
DisTrO and the Quest for Community-Trained AI Models
Related Questions
Can AI systems be scaled as discussed in the episode "Using Large Language Models at AngelList // Thibaut Labarre // MLOps Podcast #171" and the clip "Scaling Challenges"?
Can AI systems be scaled as discussed in the episode Using Large Language Models at AngelList // Thibaut Labarre // MLOps Podcast #171 and the clip Scaling Challenges?