7th February 2020 - Link Blog
Deep learning isn’t hard anymore. This article does a great job of explaining how transfer learning is unlocking a new wave of innovation around deep learning. Previously if you wanted to train a model you needed vast amounts if data and thousands of dollars of compute time. Thanks to transfer learning you can now take an existing model (such as GPT2) and train something useful on top of it that’s specific to a new domain in just minutes it hours, with only a few hundred or a few thousand new labeled samples.
Recent articles
- Conceptual integrity and counting lines of code - 19th August 2026
- Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things - 16th August 2026
- Now we have a timeline of the OpenAI accidental attack against Hugging Face - 7th August 2026