​ Diffusion models have brought about a revolution in text-to-image generation, offering remarkable quality and creativity. However, it’s worth noting that their multi-step sampling procedure is recognized for its sluggishness, often demanding numerous inference steps to achieve desirable outcomes. In this paper, the authors introduce… Read More »Meet InstaFlow: A Novel One-Step Generative AI Model Derived from the Open-Source StableDiffusion (SD) Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ Detection and diagnostics are imperative to improve vehicle operation efficiency, safety, and stability. In recent years, numerous studies have investigated data-driven approaches to improve the vehicle diagnostics process using available vehicle data, and various data-driven methods are employed to enhance customer-service agent interactions. Natural… Read More »Wayve Introduces LINGO-1: A New AI Model that can Comment on Driving Scenes and be Prompted with Questions Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Large language models (LLMs) built on transformers, including ChatGPT and GPT-4, have demonstrated amazing natural language processing abilities. The creation of transformer-based NLP models has sparked advancements in designing and using transformer-based models in computer vision and other modalities. Since November 2022, LLMs have… Read More »Can a Language Model Revolutionize Radiology? Meet Radiology-Llama2: A Large Language Model Specialized For Radiology Through a Process Known as Instruction Tuning Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Deep generative models are becoming increasingly potent tools when it comes to the in silico creation of novel proteins. Diffusion models, a class of generative models recently shown to generate physiologically plausible proteins distinct from any actual proteins seen in nature, allow for unparalleled… Read More »What’s Next in Protein Design? Microsoft Researchers Introduce EvoDiff: A Groundbreaking AI Framework for Sequence-First Protein Engineering Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Pre-trained Large Language Models (LLMs), like GPT-3, have proven to have extraordinary aptitudes for comprehending and replying to questions from humans, helping with coding chores, and more. However, they frequently generate outcomes that differ from what people like. In the past, researchers have attempted… Read More »Can Large Language Models Self-Evaluate for Safety? Meet RAIN: A Novel Inference Method Transforming AI Alignment and Defense Without Finetuning Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Researchers have recently seen significant improvements in large language models’ (LLMs) instruction tuning. ChatGPT and GPT-4 are general-purpose talking systems that obey human commands in language and visuals. However, they are still unreplicable because of the closed-source constraint. Alpaca, LLaMAAdapter, and related efforts offer… Read More »Researchers from China Introduce ImageBind-LLM: A Multi-Modality Instruction Tuning Method of Large Language Models (LLMs) via ImageBind Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ In tasks like customer service, consulting, programming, writing, teaching, etc., language agents can reduce human effort and are a potential first step toward artificial general intelligence (AGI). Recent demonstrations of language agents’ potential, including AutoGPT and BabyAGI, have sparked much attention from researchers, developers,… Read More »This AI Paper Introduces Agents: An Open-Source Python Framework for Autonomous Language Agents Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ In a remarkable stride forward for protein design, a team of researchers has unveiled Protpardelle, an all-atom diffusion model that addresses the intricate interplay between continuous and discrete protein structures. The model achieves a groundbreaking feat by generating proteins of exceptional quality, diversity, and… Read More »Stanford Researchers Introduce Protpardelle: A Breakthrough All-Atom Diffusion Model for Co-Designing Protein Structure and Sequence Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Researchers from MIT, Johns Hopkins University, and the Alan Turing Institute argue that dealing with biased medical data in AI systems isn’t as simple as the saying “garbage in, garbage out” suggests. AI-biased models have become popular in the healthcare industry. Usually, when data… Read More »How Should We View Biased Clinical Data in Medical Machine Learning? A Call for an Archaeological Perspective Bhoumik Mhatre Artificial Intelligence Category – MarkTechPost