Hadi Pouransari
@HPouransari
ML Research @Apple, PhD @Stanford.
📢Submissions are now open for #NeurIPS2025 CCFM workshop. Submission deadline: August 22, 2025, AoE. Website: sites.google.com/view/ccfm-neur… Call for papers: sites.google.com/view/ccfm-neur… Submission Link: openreview.net/group?id=NeurI…
Is your AI keeping Up with the world? Announcing #NeurIPS2025 CCFM Workshop: Continual and Compatible Foundation Model Updates When/Where: Dec. 6-7 San Diego Submission deadline: Aug. 22, 2025. (opening soon!) sites.google.com/view/ccfm-neur… #FoundationModels #ContinualLearning
Is your AI keeping Up with the world? Announcing #NeurIPS2025 CCFM Workshop: Continual and Compatible Foundation Model Updates When/Where: Dec. 6-7 San Diego Submission deadline: Aug. 22, 2025. (opening soon!) sites.google.com/view/ccfm-neur… #FoundationModels #ContinualLearning
📢📢📢 Interesting workshop and amazing speakers at NeurIPS 2025! Submission open: July 22, 2025, AoE.
Is your AI keeping Up with the world? Announcing #NeurIPS2025 CCFM Workshop: Continual and Compatible Foundation Model Updates When/Where: Dec. 6-7 San Diego Submission deadline: Aug. 22, 2025. (opening soon!) sites.google.com/view/ccfm-neur… #FoundationModels #ContinualLearning
A personal opinion/note: To my fellow researchers who love and promote science and reasoning over superstition and chaos, I invite you to call for dialogue and diplomacy over violence and war. Brute force has always been an expensive solution—one that, in real life, costs people…
Synthetic data is key for LLM training. It raises entry costs for frontier model dev, needing multiple model gens for SOTA synthetic data quality, potentially creating an AI moat.
The latest MLX has a CUDA back-end! To get started: pip install "mlx[cuda]" With the same codebase you can develop locally, run your model on Apple silicon, or in the cloud on Nvidia GPUs. MLX is designed around Apple silicon - which has a unified memory architecture. It uses…
Excited to attend #ACL2025 in Vienna, Austria next week. @jeffwpli will give an oral presentation on TiC-LM (14:00 - 15:30, Theme track: Generalisation of NLP models, Room 1.15-16). TiC-LM: machinelearning.apple.com/research/tic-l… Checkout all Apple contributions: machinelearning.apple.com/updates/apple-…
New Apple #ML Research Highlight: "FastVLM: Efficient Vision Encoding for Vision Language Models" machinelearning.apple.com/research/fast-…
📢CCFM NeurIPS 2025 Workshop 📢Submissions are now open! 📜Consider submitting your work to the CCFM workshop on the evolution of data, models, and benchmarks—topics crucial for a sustainable and scalable AI ecosystem. 🏁Deadline: August 22, 2025, AoE. sites.google.com/view/ccfm-neur…
⏲️TiC-LM See our recent work on large-scale continual pretraining and evaluation of LLMs over ~10 years of web data. (to be presented at ACL 2025)
Excited to share TiC-LM (Oral at #ACL2025)! LLMs can become outdated ⏲️ and re-training from scratch is costly💰. Ideally, we'd keep reusing and updating models on newer data ♻️. We study continual training as 114 CC months are revealed one-at-a-time. arxiv.org/abs/2504.02107
In this report we describe the 2025 Apple Foundation Models ("AFM"). We also introduce the new Foundation Models framework, which gives app developers direct access to the on-device AFM model. machinelearning.apple.com/research/apple…
Big MLX Swift LLMs release: - New models: Gemma 3, BitNet - Streamlined API - Structured tool use - Other bug fixes and QoL improvements
Proud to share our report on AXLearn (github.com/apple/axlearn), the code base for building Apple Foundation Models: arxiv.org/abs/2507.05411.
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Come work with us! The Machine Learning Research (MLR) team at Apple is seeking a passionate AI researcher to work on Efficient ML algorithms: jobs.apple.com/en-us/details/…
Hey AI folks! 🚀We have an exciting opportunity to join the Apple Machine Learning Research team. If you’re passionate about pushing the boundaries of AI and working on cutting-edge research, we’d love to have you. Check out the role here: jobs.apple.com/en-us/details/…
Over 5,000 MLX models have been uploaded to Hugging Face! 10,000 wen?