We set a new industry standard for MLPerf with our cluster of NVIDIA H100s. It completed the massive GPT-3-based training benchmark in less than 11 minutes.
RESEARCH
-
Generative AI Transforms Enterprises with Proprietary Solutions
By
–
Generative #AI is transforming enterprises – it's not hype, it's the future! 94% agree, organizations need proprietary #GenAI for control & uniqueness. Learn more in this @VentureBeat piece. https://
domino.buzz/3Xq21rD #DataScience -
Open Catalyst Challenge Addresses Energy and Climate Crisis
By
–
The Open Catalyst Challenge invites participants to help address the pressing challenges faced by the world due to energy scarcity and climate change. More details on the 2023 challenge in the full thread from @OpenCatalyst
-
Developing Creativity and Innovation Through Diverse Project Exposure
By
–
Creativity, innovation, and problem solving skills are developed by getting exposed to a wide variety of projects, ideas, and thoughts.
-
Reka Secures $58M Funding for Generative AI Models
By
–
Launch announcement: https://
reka.ai/announcing-our
-58m-funding-to-build-generative-models-and-advance-ai-research/
… -
Dijkstra on Abstraction: Precision Through Semantic Layers
By
–
“The purpose of abstraction is not to be vague, but to create a new semantic level in which one can be absolutely precise.” — Edsger Dijkstra
-
Reka AI Launches with $58M to Build Generative Models
By
–
We’re coming out of stealth with $58M in funding to build generative models and advance AI research at @RekaAILabs Language models and their multimodal counterparts are already ubiquitous and massively impactful everywhere. That said, we are still at the beginning of this
-
The Next Larger Context in AI and Machine Learning
By
–
The Next Larger Context https://
bit.ly/3CBDPJj #AI #MachineLearning #DeepLearning #LLMs #DataScience -
What Experts Expect of Generative AI
By
–
Read our new blog post: "What Experts Expect of Generative AI". Key insights: Generative AI is crucial, not hype; bespoke AI offerings are key; challenges & risks need tackling. #AI #GenerativeAI #DataScience
-
High-speed tensor core inference with massive memory bandwidth
By
–
So, you have a 200 TB/s fire hose of recycling information, which you would have to “pump up” over many cycles from much slower conventional memory, but it could then feed straight in to a field of tensor core registers for real time model inference. Fun to think about!