​[[{“value”:” In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization using Amazon SageMaker. Proteins are the molecular machines of the body, responsible for everything from moving your muscles to responding to infections. Despite this… Read More »Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker Brian Loyal AWS Machine Learning Blog

​[[{“value”:” AI researchers aim to create models that can handle human language and code. These advanced models are designed to break down linguistic barriers and facilitate more intuitive interactions between humans and machines, catering to a global audience and a wide array of programming tasks.… Read More »NVIDIA Researchers Introduce Nemotron-4 15B: A 15B Parameter Large Multilingual Language Model Trained on 8T Text Tokens Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) with hundreds of billions of parameters have significantly improved performance on various tasks. Fine-tuning LLMs on specific datasets enhances performance compared to prompting during inference but incurs high costs due to parameter volume. Low-rank adaptation (LoRA) is a popular parameter-efficient… Read More »Microsoft AI Researchers Developed a New Improved Framework ResLoRA for Low-Rank Adaptation (LoRA) Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text-to-image diffusion models are among the best advances in the field of Artificial Intelligence (AI). However, there are constraints associated with personalizing existing text-to-image diffusion models with various concepts. The current personalization methods are not able to extend to numerous ideas consistently, and it… Read More »Meet Gen4Gen: A Semi-Automated Dataset Creation Pipeline Using Generative Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era where uncertainty shadows many aspects of decision-making, particularly in high-stakes fields like business, finance, and agriculture, the quest for tools to navigate this fog of unpredictability is more pressing than ever. Decision-making methods often need to be revised when faced with… Read More »USC Researchers Propose DeLLMa (Decision-making Large Language Model Assistant): A Machine Learning Framework Designed to Enhance Decision-Making Accuracy in Uncertain Environments Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers from Microsoft Research Asia, Zhejiang University, College of William & Mary, and Tsinghua University recently introduced a novel method, DiLightNet, to address the challenge of fine-grained lighting control in text-driven diffusion-based image generation. The existing models can generate images from text prompts, but… Read More »This Paper Introduces DiLightNet: A Novel Artificial Intelligence Method for Exerting Fine-Grained Lighting Control during Text-Driven Diffusion-based Image Generation Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an intriguing exploration spearheaded by researchers at Google DeepMind and University College London, the capabilities of Large Language Models (LLMs) to engage in latent multi-hop reasoning have been put under the microscope. This cutting-edge study delves into whether LLMs, when presented with complex… Read More »DeepMind and UCL’s Comprehensive Analysis of Latent Multi-Hop Reasoning in Large Language Models Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The pursuit of high-fidelity 3D representations from sparse images has seen considerable advancements, yet the challenge of accurately determining camera poses remains a significant hurdle. Traditional structure-from-motion methods often falter when faced with limited views, prompting a shift towards learning-based strategies that aim to… Read More »CMU Researchers Unveil Groundbreaking AI Method for Camera Pose Estimation: Harnessing Ray Diffusion for Enhanced 3D Reconstruction Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The significance of computing and data size is undeniable in large-scale multimodal learning. Still, collecting data from high-quality video text is always challenging due to its temporal structure. Vision-language datasets (VLDs) like HD-VILA-100M and HowTo100M are extensively employed across various tasks, including action recognition,… Read More »Panda-70M: A Large-Scale Dataset with 70M High-Quality Video-Caption Pairs Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the evolving landscape of predictive analytics, the art and science of forecasting stand as pivotal tools for decision-making across various sectors, from government policy to corporate strategy. Forecasting has relied heavily on statistical methods, thriving on abundant data and minimal shifts in underlying… Read More »UC Berkeley Research Presents a Machine Learning System that Can Forecast at Near Human Levels Nikhil Artificial Intelligence Category – MarkTechPost