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Competition is always good. That said, Keras is a tough sell. I think the ML framework market, particularly for gen AI is moving either away from abstraction t
by andy99 3y ago
Competition is always good. That said, Keras is a tough sell. I think the ML framework market, particularly for gen AI is moving either away from abstraction to lower level frameworks (ggml or custom, etc) or consolidating around HF. It would be cool to see Keras emerge as a meaningful HF transformers competitor, but I'm not sure what it would take to get there. As it is, I don't see a big incentive to use it, or for people getting started to learn it (especially to the exclusion of the underlying frameworks) which is too bad.
- pantulis 3y ago> consolidating around HF What is HF? Is it HF as in RLHF?
- imachine1980_ 3y agoI disagree because the majority of data science roles focus on optimizing production processes or customer acquisition/retention. In practical terms, while we often reference tools like OpenAI, the real-world application revolves around machine learning-based data analytics and unstructured business intelligence. Keras emerges as a valuable tool for businesses due to its combination of machine learning capabilities beaing easy,allow data experimentation, for the business knowledge. In this context, the emphasis on machine learning isn't as pronounced as it is in companies dedicated solely to ML, such as OpenAI or Google ML
- deleted 3y ago[deleted]