Linking pages
- Meet ReSearch: A Novel AI Framework that Trains LLMs to Reason with Search via Reinforcement Learning without Using Any Supervised Data on Reasoning Steps - MarkTechPost https://www.marktechpost.com/2025/03/31/meet-research-a-novel-ai-framework-that-trains-llms-to-reason-with-search-via-reinforcement-learning-without-using-any-supervised-data-on-reasoning-steps/ 2 comments
- How to Build a Prototype X-ray Judgment Tool (Open Source Medical Inference System) Using TorchXRayVision, Gradio, and PyTorch - MarkTechPost https://www.marktechpost.com/2025/03/31/how-to-build-a-prototype-x-ray-judgment-tool-open-source-medical-inference-system-using-torchxrayvision-gradio-and-pytorch/ 0 comments
- Meta AI Proposes Multi-Token Attention (MTA): A New Attention Method which Allows LLMs to Condition their Attention Weights on Multiple Query and Key Vectors - MarkTechPost https://www.marktechpost.com/2025/04/01/meta-ai-proposes-multi-token-attention-mta-a-new-attention-method-which-allows-llms-to-condition-their-attention-weights-on-multiple-query-and-key-vectors/ 0 comments
- Nomic Open Sources State-of-the-Art Multimodal Embedding Model - MarkTechPost https://www.marktechpost.com/2025/04/02/nomic-open-sources-state-of-the-art-multimodal-embedding-model/ 0 comments
Linked pages
- NVIDIA AI Researchers Introduce FFN Fusion: A Novel Optimization Technique that Demonstrates How Sequential Computation in Large Language Models LLMs can be Effectively Parallelized - MarkTechPost https://www.marktechpost.com/2025/03/29/nvidia-ai-researchers-introduce-ffn-fusion-a-novel-optimization-technique-that-demonstrates-how-sequential-computation-in-large-language-models-llms-can-be-effectively-parallelized/ 1 comment
- A Step by Step Guide to Solve 1D Burgers' Equation with Physics-Informed Neural Networks (PINNs): A PyTorch Approach Using Automatic Differentiation and Collocation Methods - MarkTechPost https://www.marktechpost.com/2025/03/28/a-step-by-step-guide-to-solve-1d-burgers-equation-with-physics-informed-neural-networks-pinns-a-pytorch-approach-using-automatic-differentiation-and-collocation-methods/ 0 comments