​ Jiusheng Chen’s team just got accelerated. They’re delivering personalized ads to users of Microsoft Bing with 7x throughput at reduced cost, thanks to NVIDIA Triton Inference Server running on NVIDIA A100 Tensor Core GPUs. It’s an amazing achievement for the principal software engineering manager… Read More »Microsoft Bing Speeds Ad Delivery With NVIDIA Triton Shankar Chandrasekaran – Archives Page 1 | NVIDIA Blog

​ Editor’s note: This is part of a series profiling researchers advancing science with high performance computing.  Maria Girone is expanding the world’s largest network of scientific computers with accelerated computing and AI. Since 2002, the Ph.D. in particle physics has worked on a grid… Read More »Accelerating the Accelerator: Scientist Speeds CERN’s HPC With GPUs, AI Rick Merritt – Archives Page 1 | NVIDIA Blog

​ Home Table of Contents CycleGAN: Unpaired Image-to-Image Translation (Part 3) Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure Implementing CycleGAN Training Implementing Training Callback Implementing Data Pipeline and Model Training Perform Image-to-Image Translation Summary Citation Information CycleGAN: Unpaired Image-to-Image Translation… Read More »CycleGAN: Unpaired Image-to-Image Translation (Part 3) Shivam Chandhok PyImageSearch

​ A recent study has highlighted the effectiveness of natural language feedback in improving the performance of language models. A team of researchers from KAIST has introduced a new SelFee model designed explicitly for self-feedback and self-revision generation. Unlike previous approaches, SelFee does not require… Read More »Meet SelFee: An Iterative Self-Revising LLM Empowered By Self-Feedback Generation Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have successfully catered their way into the challenging areas of Artificial Intelligence. With their amazing ability to produce unique and creative content with great linguistic accuracy and consistency, LLMs are helping out in every industry. Large Language Models are often… Read More »Say Goodbye to Costly Auto-GPT and LangChain Runs: Meet ReWOO – The Game-Changing Modular Paradigm that Cuts Token Consumption by Detaching Reasoning from External Observations Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ ChatGPT is trending, and millions of people are using it every day. With its incredible capabilities of imitating humans, such as question answering, generating unique and creative content, summarizing massive textual data, code completion, and developing highly useful virtual assistants, ChatGPT is making our… Read More »This AI Research Dives Into The Limitations and Capabilities of Transformer Large Language Models (LLMs), Empirically and Theoretically, on Compositional Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Large language models (LLMs) excel at many downstream tasks that call for common sense, thanks to their vast size. One such activity is procedural planning, which entails breaking down a high-level aim into a series of logical, compelling, and goal-oriented actions (plan) (for instance,… Read More »Meet PLASMA: A Novel Two-Pronged AI Approach To Endow Small Language Models With Procedural Knowledge And (Counterfactual) Planning Capabilities Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ For learning high-dimensional distributions and resolving inverse problems, generative diffusion models are emerging as flexible and potent frameworks. Text conditional foundation models like Dalle-2, Latent Diffusion, and Imagen have achieved remarkable performance in generic picture domains due to several recent advancements. Diffusion models have… Read More »Researchers From UT Austin and UC Berkeley Introduce Ambient Diffusion: An AI Framework To Train/Finetune Diffusion Models Given Only Corrupted Data As Input Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost