​[[{“value”:” In an effort to track its advancement towards creating Artificial Intelligence (AI) that can surpass human performance, OpenAI has launched a new classification system. According to a Bloomberg article, OpenAI has recently discussed a five-level framework to clarify its goal for AI safety and… Read More »5 Levels in AI by OpenAI: A Roadmap to Human-Level Problem Solving Capabilities Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Computer vision enables machines to interpret & understand visual information from the world. This encompasses a variety of tasks, such as image classification, object detection, and semantic segmentation. Innovations in this area have been propelled by developing advanced neural network architectures, particularly Convolutional Neural… Read More »NVIDIA Researchers Introduce MambaVision: A Novel Hybrid Mamba-Transformer Backbone Specifically Tailored for Vision Applications Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent progress in Large Multimodal Models (LMMs) has demonstrated remarkable capabilities in various multimodal settings, moving closer to the goal of artificial general intelligence. By using large amounts of vision-language data, they enhance LLMs with visual abilities, by aligning vision encoders. However, most open-source… Read More »LLaVA-NeXT-Interleave: A Versatile Large Multimodal Model LMM that can Handle Settings like Multi-image, Multi-frame, and Multi-view Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have made significant strides in recent years, prompting researchers to explore the development of Large Vision Language Models (LVLMs). These models aim to integrate visual and textual information processing capabilities. However, current open-source LVLMs face challenges in matching the versatility… Read More »InternLM-XComposer-2.5 (IXC-2.5): A Versatile Large-Vision Language Model that Supports Long-Contextual Input and Output Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have been crucial for driving artificial intelligence and natural language processing to new heights. These models have demonstrated remarkable abilities in understanding and generating human language, with applications spanning, but not limited to, healthcare, education, and social interactions. However, LLMs… Read More »Researchers at Stanford Introduces In-Context Vectors (ICV): A Scalable and Efficient AI Approach for Fine-Tuning Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Scientific discovery has been a cornerstone of human advancement for centuries, traditionally relying on manual processes. However, the emergence of large language models (LLMs) with advanced reasoning capabilities and the ability to interact with external tools and agents has opened up new possibilities for… Read More »Can LLMs Help Accelerate the Discovery of Data-Driven Scientific Hypotheses? Meet DiscoveryBench: A Comprehensive LLM Benchmark that Formalizes the Multi-Step Process of Data-Driven Discovery Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative models of tabular data are key in Bayesian analysis, probabilistic machine learning, and fields like econometrics, healthcare, and systems biology. Researchers have developed methods to learn probabilistic models for such data automatically. To leverage these models for complex tasks, users must seamlessly integrate… Read More »GenSQL: A Generative AI System for Databases that Advances Probabilistic Programming for Integrated Tabular Data Analysis Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Creating datasets for training custom AI models can be a challenging and expensive task. This process typically requires substantial time and resources, whether it’s through costly API services or manual data collection and labeling. The complexity and cost involved can make it difficult for… Read More »Augmentoolkit: An AI-Powered Tool that Lets You Create Domain-Specific Using Open-Source AI Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text-to-image generation models have gained traction with advanced AI technologies, enabling the generation of detailed and contextually accurate images based on textual prompts. The rapid development in this field has led to numerous models, such as DALLE-3 and Stable Diffusion, designed to translate text… Read More »MJ-BENCH: A Multimodal AI Benchmark for Evaluating Text-to-Image Generation with Focus on Alignment, Safety, and Bias Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Patronus AI has announced the release of Lynx. This cutting-edge hallucination detection model promises to outperform existing solutions such as GPT-4, Claude-3-Sonnet, and other models used as judges in closed and open-source settings. This groundbreaking model, which marks a significant advancement in artificial intelligence,… Read More »Patronus AI Introduces Lynx: A SOTA Hallucination Detection LLM that Outperforms GPT-4o and All State-of-the-Art LLMs on RAG Hallucination Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost