​ The latest advancements in the fields of Artificial Intelligence and Machine Learning have demonstrated the ability of large-scale learning from varied and vast datasets for developing extremely effective AI systems. The best examples are the creation of general-purpose pretrained models, which frequently outperform their… Read More »Google DeepMind Releases Open X-Embodiment that Includes a Robotics Dataset with 1M+ Trajectories and a Generalist AI Model (𝗥𝗧-X) to Help Advance How Robots can Learn New Skills Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Significant strides have been made in artificial intelligence and mathematical problem-solving, especially with the advent of large language models. However, these models still grapple with complex mathematical challenges. Microsoft and Tsinghua University researchers introduce TORA, a groundbreaking approach known as Tool-integrated Reasoning Agents, designed… Read More »Researchers from Tsinghua University and Microsoft Introduce ToRA: An Artificial Intelligence Tool-Integrated Reasoning Agent for Mathematical Problem Solving Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Recent years have seen tremendous developments in text-to-image generative models, including auto-regressive and diffusion-based methods. These models can produce high-fidelity, semantically relevant visuals on various topics when given the right language descriptions (i.e., prompts), sparking considerable public interest in their possible uses and effects.… Read More »Researchers from China Unveil ImageReward: A Groundbreaking Artificial Intelligence Approach to Optimizing Text-to-Image Models Using Human Preference Feedback Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ LLMs have achieved state-of-the-art results in various complex tasks, such as math reasoning, summarization, conversations, schema induction, and domain-specific problem-solving. The success of LLMs hinges on their ability to follow instructions and align with human preferences. However, they have limitations and can produce incorrect… Read More »How Can We Elevate the Quality of Large Language Models? Meet PIT: An Implicit Self-Improvement Framework Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. The applications also extend into retail, where they can enhance customer experiences through dynamic chatbots and AI assistants, and into digital marketing, where they can… Read More »Personalize your generative AI applications with Amazon SageMaker Feature Store Yanwei Cui AWS Machine Learning Blog

​ As we delve deeper into the digital era, the development of multimodality models has been critical in enhancing machine understanding. These models process and generate content across various data forms, like text and images. A key feature of these models is their image-to-text capabilities,… Read More »Build an image-to-text generative AI application using multimodality models on Amazon SageMaker Yanwei Cui AWS Machine Learning Blog

​ In the field of cellular reprogramming, researchers face the challenge of identifying optimal genetic perturbations to engineer cells into new states, a promising technique for applications like immunotherapy and regenerative therapies. The vast complexity of the human genome, consisting of around 20,000 genes and… Read More »Researchers at MIT and Harvard Unveil a Revolutionary AI-Based Computational Approach: Efficiently Pinpointing Optimal Genetic Interventions with Fewer Experiments Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ Capturing and encoding information about a visual scene, typically in the context of computer vision, artificial intelligence, or graphics, is called Scene representation. It involves creating a structured or abstract representation of the elements and attributes present in a scene, including objects, their positions,… Read More »Meet ConceptGraphs: An Open-Vocabulary Graph-Structured Representation for 3D Scenes Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Language Models (LLMs) represent a category of artificial intelligence systems capable of generating and comprehending text. These models undergo training on extensive datasets consisting of text and code, and they find application in various tasks, such as translation, generating creative content across diverse domains,… Read More »Mistral AI Open-Sources Mistral 7B: A Small Yet Powerful Language Model Adaptable to Many Use-Cases Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ The field of generative modeling has witnessed significant advancements in recent years, with researchers striving to create models capable of generating high-quality images. However, these models often need help with image quality and robustness. This research addresses the problem of striking the right balance… Read More »MIT Researchers Introduce PFGM++: A Groundbreaking Fusion of Physics and AI for Advanced Pattern Generation Madhur Garg Artificial Intelligence Category – MarkTechPost