Data Scaling Challenges
Saurabh emphasizes the necessity of large-scale data procurement for effective pre-training of models, while ensuring customer data remains private. He discusses the delicate balance between innovating new services and the risks of over-proliferation, highlighting the importance of supporting legacy software versions for enterprise clients. The conversation reveals the complexities of adapting to customer needs without compromising core competencies.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Cohere's SVP Technology - Saurabh Baji
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