-
Pollen-Vision: An Artificial Intelligence Library Empowering Robots with the Autonomy to Grasp Unknown Objects
-
RakutenAI-7B: A Suite of Japanese-Oriented Large Language Models that Achieve the Great Performance on the Japanese Language Model
-
Meet Dragoneye: An AI Startup Revolutionizing Computer Vision for Developers
-
This AI Paper from Durham University Evaluates GPT-3.5 and GPT-4’s Performance Against Student Coders in Physics
-
Google AI Introduces AutoBNN: A New Open-Source Machine Learning Framework for Building Sophisticated Time Series Prediction Models
-
This AI Paper from Intel Presents a SYCL Implementation of Fully Fused Multi-Layer Perceptrons (MLPs) on Intel Data Center GPU Max
-
Researchers from Google DeepMind and Stanford Introduce Search-Augmented Factuality Evaluator (SAFE): Enhancing Factuality Evaluation in Large Language Models
-
This Paper Reveals Insights from Reproducing OpenAI’s RLHF (Reinforcement Learning from Human Feedback) Work: Implementation and Scaling Explored
-
Alibaba Releases Qwen1.5-MoE-A2.7B: A Small MoE Model with only 2.7B Activated Parameters yet Matching the Performance of State-of-the-Art 7B models like Mistral 7B
-
The Dawn of Indistinguishable Voices: Inside OpenAI’s Voice Engine