22min chapter

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0 cover image

Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0

CHAPTER

Enhancing Workflow Efficiency in AI Research

Exploring the significance of workflow improvements over language model advancements in AI research, the chapter showcases the valuable contributions of an intern named Charlie to an AI abstract summarization project. The conversation delves into monitoring AI model performance in NLP operations at scale, emphasizing the importance of benchmarks, training data quality, and the capabilities of new AI models like Cloud and GPD4. It also touches on multimodality, computational notebooks for structured workflows, and the evolving relationship between humans and advanced models in uncertainty estimation and question answering.

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