​ Deep learning is being used in various fields now. It is being used in plants for various purposes, too. 3D plant shoot segmentation has significantly progressed by integrating deep learning techniques with point clouds. Traditionally, 2D methods were used but faced challenges in in-depth… Read More »Meet Eff-3DPSeg: A Deep Learning Framework for 3D Organ-Level Plant Shoot Segmentation Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ The field of Artificial Intelligence (AI) is set for a revolutionary change in the coming years. In a recent research paper, a team of researchers from the University of Illinois Urbana-Champaign has offered a thorough and detailed study of the mutually beneficial relationship that… Read More »This AI Paper Explores How Code Integration Elevates Large Language Models to Intelligent Agents Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have ushered a new era in the field of Artificial Intelligence (AI) through their exceptional natural language processing capabilities. From mathematical reasoning to code generation and even drafting legal opinions, LLMs find their applications in almost every field. To align… Read More »This AI Paper from UCLA Introduces ‘SPIN’ (Self-Play fIne-tuNing): A Machine Learning Method to Convert a Weak LLM to a Strong LLM by Unleashing the Full Power of Human-Annotated Data Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps… Read More »Modernizing data science lifecycle management with AWS and Wipro Stephen Randolph AWS Machine Learning Blog

​ Researchers from the Hong Kong University of Science and Technology and the University of Illinois Urbana-Champaign have collaborated to address a challenge faced by large language models (LLMs) known as hallucination, where these models generate non-existent facts, by introducing a novel approach called Refusal-Aware… Read More »Can We Align LLMs to Honesty via Instruction Fine-Tuning? Addressing Hallucination in Large Language Models with Refusal-Aware Instruction Tuning Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ Language agents have proven their worth regarding problem-solving abilities within brief timelines and defined settings. But when it comes to the ever-changing complexities of the open-world simulations where there is an interplay of memory retention and coherent actions taken given this memory, challenges arise… Read More »This Paper Introduces LARP: An Artificial Intelligence Framework for Role-Playing Language Agents Tailored for Open-World Games Nikhil Artificial Intelligence Category – MarkTechPost

​ Distinguishing fine image boundaries, particularly in noisy or low-resolution scenarios, remains formidable. Traditional approaches, heavily reliant on human annotations and rasterized edge representations, often need more precision and adaptability to diverse image conditions. This has spurred the development of new methodologies capable of overcoming… Read More »Researchers from Google Propose a New Neural Network Model Called ‘Boundary Attention’ that Explicitly Models Image Boundaries Using Differentiable Geometric Primitives like Edges, Corners, and Junctions Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ Enterprise documents like contracts, reports, invoices, and receipts come with intricate layouts. These documents may be automatically interpreted and analyzed, which is useful and can result in the creation of AI-driven solutions. However, there are a number of challenges, as these documents can have… Read More »JPMorgan AI Research Introduces DocLLM: A Lightweight Extension to Traditional Large Language Models Tailored for Generative Reasoning Over Documents with Rich Layouts Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ In deploying powerful language models like GPT-3 for real-time applications, developers often need high latency, large memory footprints, and limited portability across diverse devices and operating systems.  Many need help with the complexities of integrating giant language models into production. Existing solutions may need… Read More »Meet LLama.cpp: An Open-Source Machine Learning Library to Run the LLaMA Model Using 4-bit Integer Quantization on a MacBook Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Commonsense reasoning is an essential facet of human cognition that enables intuitive interpretation and interaction with the world. In NLP, this translates into the ability of LLMs and Multimodal Large Language Models (MLLMs) to interpret human language and visual cues realistically. Despite advancements, these… Read More »Unveiling the Commonsense Reasoning Capabilities of Google Gemini: A Comprehensive Analysis Beyond Preliminary Benchmarks Adnan Hassan Artificial Intelligence Category – MarkTechPost