​ A research team from UC Santa Cruz has introduced a novel tool called the Text to Image Association Test. This tool addresses the inadvertent biases in Text-to-Image (T2I) generative AI systems. These systems are known for their ability to create images from text descriptions… Read More »Researchers at UC Santa Cruz Propose a Novel Text-to-Image Association Test Tool that Quantifies the Implicit Stereotypes between Concepts and Valence and Those in the Images Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Recent developments in the field of Artificial Intelligence have led to solutions to a variety of use cases. Different text-to-image generative models have paved the way for an exciting new field where written words can be transformed into vibrant, engrossing visual representations. The capacity… Read More »How Can We Generate A New Concept That Has Never Been Seen? Researchers at Tel Aviv University Propose ConceptLab: Creative Generation Using Diffusion Prior Constraints Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ More and more papers are being created and stored by businesses in today’s digital age. Although these papers may include useful information, they are sometimes easy to read and comprehend. Invoices, forms, and contracts that are also visually complex present an even bigger difficulty.… Read More »Google AI Introduces Visually Rich Document Understanding (VRDU): A Dataset for Better Tracking of Document Understanding Task Progress Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Human evaluation has been used to evaluate the performance of natural language processing models and algorithms for denoting text quality. Still, human evaluation is only sometimes consistent and may not be reproducible as it is hard to recruit the same human evaluators and return… Read More »Can Large-Scale Language Models Replace Humans in Text Evaluation Tasks? This AI Paper Proposes to Use LLM for Evaluating the Quality of Texts to Serve as an Alternative to Human Evaluation Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ A form of AI called large language models (LLMs) has been proven to produce text on par with a human’s. Unfortunately, training LLMs is a resource-intensive operation requiring high-powered computers and a vast volume of data. gpt-llm-trainer is a program that facilitates LLM training… Read More »Train LLM with a Simple English Prompt! Meet gpt-llm-trainer: The Easiest Way to Train a Task-Specific LLM Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Recent advancements in artificial intelligence have created multiple opportunities for structured reasoning as they can remarkably adapt to information within their context. This collaboration between multiple AI systems and humans is crucial. Strategic content crafting can lead LLMs to perform complex reasoning to enhance… Read More »Meet Flows: A Revolutionary AI Framework for Modeling Complex AI-Human Interactions Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ The ability of large language models (LLMs) to generate coherent, contextually relevant, and semantically meaningful text has become increasingly complex. Despite these advancements, LLMs frequently provide inaccurate, doubtful, and nonsensical results. Thus, techniques that continually assess and improve generations would be helpful toward more… Read More »Researchers from Meta AI Introduce a New AI Model to Critique Large Language Model Generations Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Legal concerns have been raised about massive language models (LMs) because they are often trained on copyrighted content. The inherent tradeoff between legal risk and model performance lies at the heart of this topic. Using just permissively licensed or publicly available data for training… Read More »Feel Risky to Train Your Language Model on Restricted Data? Meet SILO: A New Language Model that Manages Risk-Performance Tradeoffs During Inference Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ AI has emerged as a beacon of hope for individuals by analyzing a certain genetic variation in minimizing the risk of kidney transplantation. The evaluation of graft failure risks in kidney transplants has traditionally relied on HLA (Human Leukocyte Antigen) mismatches. A research team… Read More »Researchers from the University of Pennsylvania are Developing Machine Learning Strategies to Improve Kidney Matching and Decrease the Risk of Graft Failure Astha Kumari Artificial Intelligence Category – MarkTechPost

​ NeRFs or Neural Radiance Fields use a combination of RNN and CNN to capture the physical characteristics of an object, such as the shape, material, and texture. They can generate realistic images of objects in different lighting conditions. They have proved most useful in… Read More »Attention Gaming Industry! No More Weird Mirrors With Mirror-NeRF Janhavi Lande Artificial Intelligence Category – MarkTechPost