Dexa/Demetrios Brinkmann

Published Feb 18, 2025

Look At Your ****ing Data 👀 // Kenny Daniel // #292

Kenny Daniel, founder of Hyperparam, delves into the crucial role of data quality in machine learning, the evolving landscape of model management, and the transformative power of user interfaces in democratizing AI, spotlighting innovative approaches in data curation and interaction.

Episode Highlights

Topics covered

Questions from this episode

- What's next in large language models (LLMs)?
  Asked by 7 people
- 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?
  Asked by 7 people
- What are some hot takes on web-based AI agents?
  Asked by 6 people
- What challenges arise in data sets?
  Asked by 5 people
- What are the next advancements in large language models (LLMs)?
  Asked by 4 people
- How can machine learning models help companies?
  Asked by 4 people
- How is machine learning evolving as discussed in the episode Adrien Treuille — Building Blazingly Fast Tools That People Love and the clip Measuring the World?
  Asked by 2 people
- Is less labeled data needed for training machine learning models as discussed in the episode "Data Selection for Data-Centric AI: Data Quality Over Quantity // Cody Coleman // Coffee Sessions #59" and the clip "Data Labeling Challenges"?
  Asked by 2 people
- How does one understand the underlying data?
  Asked by 2 people
- What techniques are used with large language models (LLMs)?
  Asked by 2 people
- Is less labeled data needed for training machine learning models as discussed in the episode Ilya Sutskever (OpenAI Chief Scientist) - Building AGI, Alignment, Spies, Microsoft, & Enlightenment and the clip Running Out of Reasoning Tokens?
  Asked by 2 people
- What is the future of large language models (LLMs) as discussed in the episode GELU, MMLU, & X-Risk Defense in Depth, with the Great Dan Hendrycks and the clip MMLU Insights?
  Asked by 2 people
- What are the challenges in machine learning as discussed in the episode Data Selection for Data-Centric AI: Data Quality Over Quantity // Cody Coleman // Coffee Sessions #59 and the clip Data Labeling Challenges?
  Asked by 2 people
- How to make data useful
  Asked by 2 people
- How do you leverage different models in machine learning?
  Asked by 2 people

Episode Highlights

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