​[[{“value”:” Transformer-based LLMs like ChatGPT and LLaMA excel in tasks requiring domain expertise and complex reasoning due to their large parameter sizes and extensive training data. However, their substantial computational and storage demands limit broader applications. Quantization addresses these challenges by converting 32-bit parameters to… Read More »FBI-LLM (Fully BInarized Large Language Model): An AI Framework Using Autoregressive Distillation for 1-bit Weight Binarization of LLMs from Scratch Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In robotics, understanding the position and movement of a sensor suite within its environment is crucial. Traditional methods, called Simultaneous Localization and Mapping (SLAM), often face challenges with unsynchronized sensor data and require complex computations. These methods must estimate the position at discrete time… Read More »Hyperion: A Novel, Modular, Distributed, High-Performance Optimization Framework Targeting both Discrete and Continuous-Time SLAM Applications Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) like GPT-4 exhibit impressive capabilities in text generation tasks such as summarization and question answering. However, they often produce “hallucinations,” generating content that is factually incorrect or contextually irrelevant. The problem is particularly acute when the LLMs are provided with… Read More »Enhancing LLM Reliability: The Lookback Lens Approach to Hallucination Detection Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Retrieval-Augmented Generation (RAG) pipeline includes four major steps— generating embeddings for queries and documents, retrieving relevant documents, analyzing the retrieved data, and generating the final response. Each of these steps. requires separate queries and tools, resulting in a cumbersome, time-consuming, and potentially error-prone… Read More »Korvus: An All-in-One Open-Source RAG (Retrieval-Augmented Generation) Pipeline Built for Postgres Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have become critical tools in various domains due to their exceptional ability to understand and generate human language. These models, which often contain billions of parameters, require extensive computational resources for training and fine-tuning. The primary challenge lies in efficiently… Read More »Q-GaLore Released: A Memory-Efficient Training Approach for Pre-Training and Fine-Tuning Machine Learning Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A fundamental topic in computer vision for nearly half a century, stereo matching involves calculating dense disparity maps from two corrected pictures. It plays a critical role in many applications, including autonomous driving, robotics, and augmented reality, among many others. According to their cost-volume… Read More »A Decade of Transformation: How Deep Learning Redefined Stereo Matching in the Twenties Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“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