​ The emergence of Large Language Models (LLMs) in natural language processing represents a groundbreaking development. These models, trained on vast amounts of data and leveraging immense computational resources, promise to transform human interactions with the digital world. As they evolve through scaling and rapid… Read More »Meta AI Researchers Propose Advanced Long-Context LLMs: A Deep Dive into Upsampling, Training Techniques, and Surpassing GPT-3.5-Turbo-16k’s Performance Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ By additional pre-training using image-text pairings or fine-tuning them with specialized visual instruction tuning datasets, Large Language Models may dive into the multimodal domain, giving rise to potent Large Multimodal Models. However, there are obstacles to building LMMs, chief among them the disparity between… Read More »Overcoming Hallucinations in AI: How Factually Augmented RLHF Optimizes Vision-Language Alignment in Large Multimodal Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Large language models (LLMs) have significantly reshaped the landscape of Artificial Intelligence (AI) since their emergence. These models provide a strong framework for challenging reasoning and problem-solving problems, revolutionizing numerous AI disciplines. LLMs are adaptable agents capable of various tasks thanks to their capacity… Read More »All You Need To Know About The Qwen Large Language Models (LLMs) Series Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Action recognition is the process of automatically identifying and categorizing human actions or movements in videos. It has applications in various domains, including surveillance, robotics, sports analysis, and more. The goal is to enable machines to understand and interpret human actions for improved decision-making… Read More »How Can We Optimize Video Action Recognition? Unveiling the Power of Spatial and Temporal Attention Modules in Deep Learning Approaches Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ The demand for more advanced and versatile language assistants has steadily increased in the ever-evolving landscape of artificial intelligence. The challenge lies in creating a genuinely multimodal AI that can seamlessly comprehend text and interact with visual and auditory inputs. This problem has long… Read More »Reka AI Introduces Yasa-1: A Multimodal Language Assistant with Visual and Auditory Sensors that can Take Actions via Code Execution Niharika Singh Artificial Intelligence Category – MarkTechPost

​ 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