​ Multimodal Large Language Models (MLLMs) have significantly developed in recent months. They direct people’s attention to Large Language Models (LLMs), where people may discuss the input image. Although these models can understand visual content, they cannot communicate with users about the exact locations of… Read More »A New AI Research from China Introduces a Multimodal LLM called Shikra that can Handle Inputs and Outputs of Spatial Coordinates in Natural Language Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ The representation learning skills of large language models (LLMs) for program synthesis and understanding tasks are extraordinary. While putting upper boundaries on the model performance by the quantity of accessible data and computation, which is expensive, the neural scaling laws appear to dictate the… Read More »Small Yet Powerful: Salesforce’s CodeGen2.5 Sets New Benchmark in Performance Despite Compact Size – A Look at the Rising Star in Language Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Scaling neural networks has been popular in recent years. Several potent deep networks are produced with the depth largely increased for exponential expressivity. Then, the hidden dimension is effectively expanded using sparse MoE models and model parallelism techniques. As the last atomic dimension of… Read More »Microsoft Research Introduces LongNet: A Transformer Variant That Can Scale Sequence Length To More Than 1 Billion Tokens With No Loss In Shorter Sequences Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Big-scale text-to-image (T2I) diffusion models, which aim to generate images conditioned on a given text/prompt, have seen rapid development thanks to the availability of big amounts of training data and massive computer capacity. Nonetheless, this generative capacity is often varied, making it difficult to… Read More »Meet DragonDiffusion: A Fine-Grained Image Editing Method Enabling Drag-style Manipulation on Diffusion Models  Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ With the growing advancement in the field of Artificial Intelligence, AI technology is getting started to combine with robotics. From Computer Vision and Natural Language Processing to Edge computing, AI is getting integrated with robotics to develop meaningful and effective solutions. AI robots are… Read More »Meet KITE: An AI Framework for Semantic Manipulation Using Keypoints as a Representation for Visual Grounding and Precise Action Inference Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​Posted by Sanjay Subramanian, PhD student, UC Berkeley, and Arsha Nagrani, Research Scientist, Google Research, Perception Team Visual question answering (VQA) is a machine learning task that requires a model to answer a question about an image or a set of images. Conventional VQA approaches… Read More »Modular visual question answering via code generation Google AI Google AI Blog

​ An individual’s personality consists of a unique combination of qualities, characteristics, and ways of thinking. It shapes our most fundamental social interactions and preferences due to our shared biological and environmental histories. Due to their extensive exposure to human-generated data during training, LLMs can… Read More »This AI Research Explains the Synthetic Personality Traits in Large Language Models (LLMs) Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ Training AI models requires massive volumes of information. But not all information is the same. The data to train the model must be error-free, properly formatted and labeled, and reflective of the issue. This can be a difficult and time-consuming process. It might be… Read More »Meet Pixis AI: An Emerging Startup Providing Codeless AI Solutions Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ Numerous applications, such as robotics, autonomous driving, and video editing, benefit from video segmentation. Deep neural networks have made great progress in the last several years. However, the existing approaches need help with untried data, especially in zero-shot scenarios. These models need specific video… Read More »Meet SAM-PT: A New AI Method Extending Segment Anything Model’s (SAM) Capability to Tracking and Segmenting Anything in Dynamic Videos Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ There has been a major uptick in interest due to the outstanding realism and diversity of picture creation utilizing text-guided diffusion models. With the introduction of large-scale models, users now have an unmatched amount of creative flexibility when creating photos. As a result, ongoing… Read More »HuggingFace Research Introduces LEDITS: The Next Evolution in Real-Image Editing Leveraging DDPM Inversion and Enhanced Semantic Guidance Aneesh Tickoo Artificial Intelligence Category – MarkTechPost