Hadi Pouransari
@HPouransari
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ML Research @Apple, PhD @Stanford.
California, USA
Joined July 2019
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.
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RT @awnihannun: The latest MLX has a CUDA back-end! To get started:. pip install "mlx[cuda]". With the same codebase you can develop locall….
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RT @FartashFg: Excited to attend #ACL2025 in Vienna, Austria next week. @jeffwpli will give an oral presentation on TiC-LM (14:00 - 15:30,….
machinelearning.apple.com
Apple is presenting new research at the annual meeting of the Association for Computational Linguistics (ACL), which takes place in person…
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RT @peteryugray: New Apple #ML Research Highlight: "FastVLM: Efficient Vision Encoding for Vision Language Models"
machinelearning.apple.com
Vision Language Models (VLMs) enable visual understanding alongside textual inputs. They are typically built by passing visual tokens from a…
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📰Paper [CVPR '25]: 💾Code, iOS Demo, and model checkpoints:
github.com
This repository contains the official implementation of "FastVLM: Efficient Vision Encoding for Vision Language Models" - CVPR 2025 - apple/ml-fastvlm
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🌟Explore key insights from the FastVLM project (real-time vision-language model) in this blog post:.
machinelearning.apple.com
Vision Language Models (VLMs) enable visual understanding alongside textual inputs. They are typically built by passing visual tokens from a…
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RT @FartashFg: 📢Submissions are now open for #NeurIPS2025 CCFM workshop. Submission deadline: August 22, 2025, AoE. Website: https://t.co/….
openreview.net
Welcome to the OpenReview homepage for NeurIPS 2025 Workshop CCFM
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📢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
Foundation models, despite their impressive capabilities, face a critical challenge: they naturally become outdated. Trained on vast datasets, frequently updating these models is expensive. Crucial...
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RT @HPouransari: ⏲️TiC-LM. See our recent work on large-scale continual pretraining and evaluation of LLMs over ~10 years of web data. (to….
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RT @ruomingpang: In this report we describe the 2025 Apple Foundation Models ("AFM"). We also introduce the new Foundation Models framework….
machinelearning.apple.com
We introduce two multilingual, multimodal foundation language models that power Apple Intelligence features across Apple devices and…
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RT @awnihannun: Big MLX Swift LLMs release:. - New models: Gemma 3, BitNet.- Streamlined API .- Structured tool use.- Other bug fixes and Q….
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RT @ruomingpang: Proud to share our report on AXLearn (, the code base for building Apple Foundation Models: https:….
arxiv.org
We design and implement AXLearn, a production deep learning system that facilitates scalable and high-performance training of large deep learning models. Compared to other state-of-the-art deep...
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RT @FartashFg: Is your AI keeping Up with the world?. Announcing #NeurIPS2025 CCFM Workshop: Continual and Compatible Foundation Model Upda….
sites.google.com
Foundation models, despite their impressive capabilities, face a critical challenge: they naturally become outdated. Trained on vast datasets, frequently updating these models is expensive. Crucial...
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⏲️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.
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📢📢📢.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!). #FoundationModels #ContinualLearning.
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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:.
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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
Apply for a AIML - Machine Learning Researcher, MLR job at Apple. Read about the role and find out if it’s right for you.
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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.
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