Abdulsalam Bande

Ml Researcher | PyTorch Ambassador
Sharing PyTorch, LLM systems, RL, MPS, open source & Ml research
Always happy to connect with the Ml community 🤝

[Yann LeCun @ylecun]

June 1986. It was my first conference in the US and my first time visiting MIT.
Had a poster on multilayer nets.

I met Marvin Minsky for the first time at the reception hosted by Thinking Machines Inc (the original one that built the Connection Machine). He was surprised that you could train a neural net to compute the product of two binary numbers (I had done the experiment).

I was on my way to the first Connectionist Summer School at CMU.

The Bell Labs folks, who I met the year before, heard I was in the US and invited me for a talk in Holmdel on my way back to Paris.

[Abdulsalam Bande @abdulsalambande]

Grateful to be part of the PyTorch Ambassador community! Looking forward to PyTorch Conference North America and to meeting more of the people building and contributing to the ecosystem. 🙌
#PyTorch #PyTorchAmbassador #PyTorchCon

[PyTorch @PyTorch]

Meet the people behind the open source tools we use every day.

PyTorch Foundation Ambassador, Abdulsalam Bande, is looking forward to connecting with the wider PyTorch Community at PyTorch Conference North America this October 2026.

Register for PyTorchCon NA: https://t.co/VJWNr5qmQD

[Abdulsalam Bande @abdulsalambande]

Excited to be presenting ERRC: Entropy-Reinvested Residual Correction for Tensor-Parallel LLM Communication at PyTorch Conference North America in San Jose this October!
Looking forward to sharing the work and connecting with the community.
#PyTorch #PyTorchCon

[PyTorch @PyTorch]

ERRC: Entropy-Reinvested Residual Correction for Tensor-Parallel LLM Communication

PyTorch Foundation Ambassador Abdulsalam Bande will present a poster on ERRC (Entropy-Reinvested Residual Correction for Tensor-Parallel LLM Communication) at PyTorch Conference North America 2026.

ERRC focuses on optimizing GPU data exchange during LLM inference. By compressing inter-GPU communication and using the saved bandwidth to mitigate quantization errors, ERRC makes multi-GPU inference significantly more efficient.

Register and join us to San Jose, October 20-21: https://t.co/6hnTjsnzHe

#PyTorchCon @abdulsalambande

[Abdulsalam Bande @abdulsalambande]

@johnternus Helloooo! Welcome, John. I’m sure it’s going to be an incredible journey 😊

[Abdulsalam Bande @abdulsalambande]

My 2026 PyTorch Foundation Flare Pin pairs the official symbol with colors inspired by San José in October: golden foothills, native oaks and a winding creek—an open-source community growing together. By @abdulsalambande. AI-assisted using OpenAI tools. #PyTorchPin #PyTorchCon

[Abdulsalam Bande @abdulsalambande]

I sometimes feel that if we truly want good AGI, we may need to mimic how nature actually learns — the way babies and children explore, interact, adapt, observe, and gradually build understanding from the world around them, not just from static data.

[Abdulsalam Bande @abdulsalambande]

Attended #PyTorchCon (Oct 22–23, SF) as a PyTorch Ambassador. Sessions from Meta, NVIDIA & community on RL, LLM inference, optimization, distributed training, quantization. Takeaway: software isn’t magic—people make it real.

[Abdulsalam Bande @abdulsalambande]

@PyTorch Honored to be a 2025 #PyTorch Contributor Awards nominee. Huge congrats to the winners and thank you to the community & maintainers—motivated to keep contributing. #PyTorchFoundation #OpenSourceAI