Jeremy Howard
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where they keep going back
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who talks about the same things
- Erik Erlandson14 talks
- Thomas Schmidt11 talks
- Haifeng Xu4 talks
- Sebastian Raschka5 talks
- Jodie Burchell18 talks
- Hema Veeradhi15 talks
| title | conference | date |
|---|---|---|
| Keynote | PyTorch Conference 2025 | 2025-10-22 |
Argues that transfer learning fine‑tuning is the core breakthrough for language models and that ULMFiT, built in a tiny Jupyter notebook on PyTorch, beats… | ||
| Panel Discussion: Beyond the Leaderboard... | Measuring Intelligence Summit 2025 | 2025-10-21 |
Companies build realistic tool-driven environments to test assistants on German car manuals and safety constraints, and a platform called ProfitArena predicts… | ||
| A hacker's guide to open source LLMs | posit::conf(2023) | 2023-09-17 |
Explains the three-stage LM pipeline: pretraining, instruction-tuning, and RLHF, and claims GPT-4 is the best model as of Sept 2023; demonstrates concrete… | ||
| Interview | AI By the Bay 2017 | 2017-03-06 |
Argues that deep learning does not require lots of data, many GPUs, or years of math education and shows practical steps to make it accessible. Contrasts… | ||
| Computer Vision for Coders | AI By the Bay 2017 | 2017-03-06 |
This talk video is a node in devreal.ai, the developer community graph.
It connects to:
Talk: Computer Vision for Coders —… | ||
| DBTB INT Jeremy Howard r | Data By the Bay 2016 | 2016-05-16 |
Argues that deep learning already changes everyday products by powering Google Photos face recognition, Instagram-style automatic image edits and Google Inbox… | ||
| Why you can't afford to ignore deep learning | Data By the Bay 2016 | 2016-05-16 |
Argues deep learning already outperforms humans on vision and speech tasks, cites a state-of-the-art algorithm for early detection of lung cancer built with… | ||
| Internet of Things - Big Data | DLDcities SFO 2014 | 2014-06-23 |
Panel argues IoT plus Big Data moves from hype to delivery: IDC predicts ~40–50x data growth by 2020 while less than 3% of current data is used, so focus… | ||
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