Akshit Arora @_AkshitArora
Senior Solutions Architect @NVIDIA, Scalable Generative AI Systems. Prev. @CUBoulder. Views expressed here are my own. aroraakshit.github.io San Francisco Bay Area Joined June 2013-
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It has been more than 6 months I moved my primary residence from Bangalore to London (Blr has taken Delhi's place as my second residence). Most of the last few months of last year, I was talking to a bunch of tech/product startups here, figuring out the ecosystem. A thread 🧵
Rarely am I so captivated and inspired by a CEO’s keynote that it holds my attention for two hours, but Jensen Huang’s indefatigable energy (at 61 years old!) makes him one of the most inspiring and visionary leaders among tenured and authentic CEOs. His ability to innovate while…
We did it! We tested 300 Bay Area foods for plastic chemicals. We found some interesting surprises. Top 5 findings in our test results: 1. Our tests found plastic chemicals in 86% of all foods, with phthalates in 73% of the tested products and bisphenols in 22%. It's…
We did it! We tested 300 Bay Area foods for plastic chemicals. We found some interesting surprises. Top 5 findings in our test results: 1. Our tests found plastic chemicals in 86% of all foods, with phthalates in 73% of the tested products and bisphenols in 22%. It's…
I’ll be at #EMNLP2024 to talk about paper on tropes in LLMs. 🔗: arxiv.org/abs/2406.19238 I’m looking for: 1. 👩💻 Internships in (but not limited to) AI + Safety, Bias, Generative models, multimodal learning. 2. 🤝 Research collaborations in cultures, multimodal models,…
I'm on the job market! Please reach out if you are looking to hire someone to work on - RLHF - Efficiency - MoE/Modular models - Synthetic Data - Test time compute - other phases of pre/post-training. If you are not hiring then I would appreciate a retweet! More details👇
We've open sourced @GoogleDeepMind's SynthID, a tool that allows model creators to embed and detect watermarks in text outputs from their own LLMs. More details published in @Nature today: nature.com/articles/s4158…
Project Ceiba, a collaboration between @amazon Web Services (AWS) and NVIDIA, is set to build one of the largest AI supercomputers in the world. ➡️📽️ nvda.ws/4fmfvxj
I think about this all the time And how it can take the right community to try to lift you up into the top 10% of the possible life paths from where you are now 10,000 conversations with a 100 people could eliminate most of the bad paths and lead you towards the good ones
Accelerate your generative #AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS In today’s rapid... #AWS aws.amazon.com/blogs/machine-…
Claude redefines how children learn. With just one prompt, you can dynamically simulate the physics of a double pendulum! At Coursera, having interactive visualizations for every topic was thought to be a pipe dream. Who had time to write it? Now, you can just ask for one.
The unsaid star of WWDC & Apple pip install mlx and get access to plethora of multimodal, audio and LLMs (fully open source) github.com/ml-explore/mlx
Large scale training with NeMo Megatron on #AWS ParallelCluster using P5 instances This post was contributed by Akshit Arora (NVIDIA), Peter Dykas (NVIDIA), Ama... aws.amazon.com/blogs/hpc/larg…
the "hype" is coming in the way of a foundational understanding of what LLMs are, and what a developer needs to know about them to fix this, I've put together a pragmatic intro guide—something I wish I had a year ago
NVIDIA and @awscloud advance #generativeAI innovation with NVIDIA Blackwell GPU-based Amazon EC2 instances, NVIDIA DGX Cloud and more. #GTC24 Read the announcement. bit.ly/3VoLNzS

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