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determined.ai

Company blog · determined.ai/blogaiprogramming

determined.ai is the company blog at determined.ai, writing about ai and programming. Since 2018, 11 different Hacker News readers have linked it 23 times, most often “TensorFlow Datasets: The Bad Parts”. No feed was found, so read it on the site itself.

23mentions?
11HN people?
2018–2024first – last linked?
Links on Hacker News per year · peak 9 in 2018

Too few sampled comments (5) to say how often HN recommends it.?

Why HN links it

Linked mainly from HN 'Who is hiring' threads and an ML experiments discussion. The comments describe a deep learning GPU cluster and training platform and its job openings, not the writing.

Summarised by Claude from a sample of 5 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. TensorFlow Datasets: The Bad Parts
    2 people · 2 mentions · first linked 2020-07-31

What Hacker News says?

  1. Determined AI | San Francisco, CA | Remote (SF preferred). We build software to make deep learning engineers dramatically more productive. Founded by leading experts in distributed systems and machine learning, our product is a complete ML environment that enables teams of DL engineers to share a GPU cluster, do efficient hyperparameter tuning, and train and deploy deep neural networks up to 100x faster than with st…

    Comment linking /careers/

    on “Ask HN: Who is hiring? (October 2018)”
  2. Submitted AI infrastructure for everyone, now Open Source as a story · 12 points

    HN discussion
  3. Determined AI | San Francisco, CA | Remote (SF preferred). We build software to make deep learning engineers dramatically more productive. Founded by leading experts in distributed systems and machine learning, our product is a complete ML environment that enables teams of DL engineers to share a GPU cluster, do efficient hyperparameter tuning, and train and deploy deep neural networks up to 100x faster than with st…

    Comment linking /careers/

    on “Ask HN: Who is hiring? (November 2018)”
  4. Submitted What's the Deal with Neural Architecture Search? as a story · 4 points

    HN discussion
  5. Determined AI | San Francisco, CA | Remote (SF preferred). We build software to make deep learning engineers dramatically more productive. Founded by leading experts in distributed systems and machine learning, our product is a complete ML environment that enables teams of DL engineers to share a GPU cluster, do efficient hyperparameter tuning, and train/deploy deep neural networks up to 100x more quickly than with…

    Comment linking /careers/

    on “Ask HN: Who is hiring? (September 2018)”
  6. Submitted Getting the Most Out of Your GPU Cluster for Deep Learning: Part 1 as a story · 4 points

    HN discussion
  7. Hewlett-Packard Enterprise / DeterminedAI - REMOTE + offices available when/if you need Positions: - Engineering: backend, front end, and AI - Developer Support Engineer (~1/3 client facing, triaging feature requests and bug reports, etc; 2/3 debugging/troubleshooting) We are developing enterprise grade artificial intelligence products/services for AI engineering teams and fortune 500 companies and need more softwar…

    Comment linking /

    on “Ask HN: Who is hiring? (June 2022)”
  8. Submitted Choosing Your Deep Learning Infrastructure: The Cloud vs. On-Prem Debate as a story · 4 points

    HN discussion
  9. I'm a developer advocate at Determined AI - here to help anyone who's interested in trying us out. There's a slack community as well, link is on the homepage: https://www.determined.ai/

    Comment linking /

    on “ML Experiments Management with Git”
  10. Submitted How to train BERT in 30 minutes as a story · 3 points

    HN discussion
  11. Submitted Stop doing iterative model development as a story · 3 points

    HN discussion
  12. Submitted Why Reproducibility Matters in Deep Learning as a story · 3 points

    HN discussion
  13. Submitted Tensor Parallelism in Three Levels of Difficulty as a story · 2 points

    HN discussion
  14. Submitted Data Scientists Don’t Care About Kubernetes as a story · 2 points

    HN discussion
  15. Submitted TensorFlow Datasets: The Bad Parts as a story · 2 points

    HN discussion
  16. Submitted Warm Starting for Efficient Deep Learning Resource Utilization as a story · 2 points

    HN discussion
  17. Submitted Getting the Most Out of Your GPU Cluster for Deep Learning as a story · 2 points

    HN discussion
  18. Submitted Activation Memory: What is it? as a story · 1 points

    HN discussion
  19. Submitted Reproducibility in ML: why it matters and how to achieve it – Determined AI as a story · 1 points

    HN discussion
  20. Submitted How to Build an Enterprise Deep Learning Platform as a story · 1 points

    HN discussion
  21. Submitted YogaDL: A better approach to data loading for deep learning models as a story · 1 points

    HN discussion
  22. Submitted TensorFlow Datasets: The Bad Parts as a story · 1 points

    HN discussion
  23. Submitted The Bad Parts of TensorFlow Datasets as a story · 1 points

    HN discussion

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