Future of AutoML
Frank discusses the evolution of AutoML and its impact on the future of machine learning, highlighting the increasing automation in model building and the ease of getting started with high accuracy. The conversation delves into the shifting landscape of feature engineering and the challenges of accessing more information for LM models.In this clip
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Data Skeptic
AI Roundtable
Related Questions
How will large language models (LLMs) and AI change software engineering and the software development lifecycle (SDLC) as discussed in the episode 787: MLOps: The Job and The Key Tools — with Demetrios Brinkmann and the clip LLM Tools Explained, as well as in the episode Meta’s Joe Spisak on Llama 3.1 405B and the Democratization of Frontier Models | Training Data?
How will large language models (LLMs) and AI change software engineering and the software development lifecycle (SDLC) as discussed in the episode Meta’s Joe Spisak on Llama 3.1 405B and the Democratization of Frontier Models | Training Data, and in the clip Scaling Innovations?
How will large language models (LLMs) and AI change software engineering and the software development lifecycle (SDLC) as discussed in the episode Meta’s Joe Spisak on Llama 3.1 405B and the Democratization of Frontier Models | Training Data and the clip Scaling Innovations?