​ Successful reinforcement learning (RL) applications include difficult tasks like plasma control, molecular design, game playing, and robot control. Despite its potential, traditional RL is extremely sample inefficient. Learning a task that a human could pick up in a few tries can take an agent… Read More »A New AI Research Proposes ‘First-Explore’: A Simple AI Framework For Meta-RL With Two Policies That Is One Policy Learns To Only Explore And One Policy Learns To Only Exploit Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Recent advancements and releases in the field of Artificial Intelligence have been able to bring a wave of storm in the community. From researchers to students, everyone’s inculcating the applications of AI to solve tasks in everyday life. With the release of OpenAI’s chatbot,… Read More »H2O.ai Introduces h2oGPT: A Suite of Open-Source Code Repositories for Democratizing Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Language models have made significant strides in natural language processing tasks. However, deploying large language models (LLMs) in real-world applications requires addressing their deficit in moral reasoning capabilities. To tackle this challenge, a Google research team introduces a groundbreaking framework called “Thought Experiments,” which… Read More »Google AI Proposes ‘Thought Experiments’ to Enhance Moral Reasoning in Language Models Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The 90s Sci-fi movies are full of computers that show this rotating profile of a person and display all types of information about the person. This face-recognition technology is expected to be so advanced that no data about you can stay hidden from the… Read More »The AI-Makeup Artist that Covers Your Identity: CLIP2Protect is an AI Model That Uses Text-Guided Makeup to Protect Facial Privacy Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ 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