​ Recent advancements in text-to-image generation have emerged diffusion models that can synthesize highly realistic and diverse images. However, despite their impressive capabilities, diffusion models like Stable Diffusion often need help with prompts requiring spatial or common sense reasoning, leading to inaccuracies in generated images.… Read More »Revolutionizing Text-to-Image Synthesis: UC Berkeley Researchers Utilize Large Language Models in a Two-Stage Generation Process for Enhanced Spatial and Common Sense Reasoning Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Large language models, or LLMs in short, have emerged as a groundbreaking advancement in the field of artificial intelligence (AI). These models, such as GPT-3, have completely revolutionalized natural language understanding. With the capacity of such models to interpret vast amounts of existing data… Read More »Meet vLLM: An Open-Source LLM Inference And Serving Library That Accelerates HuggingFace Transformers By 24x Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ The sophistication of false profiles has increased alongside the proliferation of artificial intelligence (AI)-produced synthetic and text-to-image generated media. LinkedIn partnered with UC Berkeley to study cutting-edge detection methods. Their recent detection method accurately identifies artificially generated profile pictures 99.6% of the time while… Read More »Researchers From LinkedIn And UC Berkeley Propose A New Method To Detect AI-Generated Profile Photos Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Since prehistoric times, people have used sketches for communication and documentation. Over the past decade, researchers have made great strides in understanding how to use sketches from classification and synthesis to more novel applications like modeling visual abstraction, style transfer, and continuous stroke fitting.… Read More »Revolutionizing Cancer Detection: the University of Surrey Unleashes Game-Changing Sketch-Based Object Detection Tool in Machine Learning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Diffusion models. This is a term you heard about a lot if you have been paying attention to the advancements in the AI domain. They were the key that enabled the revolution in generative AI methods. We now have models that can generate photorealistic… Read More »The Artist Pal in Your Pocket: SnapFusion is an AI Approach That Brings the Power of Diffusion Models to Mobile Devices Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ Music is an art composed of harmony, melody, and rhythm that permeates every aspect of human life. With the blossoming of deep generative models, music generation has drawn much attention in recent years. As a prominent class of generative models, language models (LMs) showed… Read More »Meet MeLoDy: An Efficient Text-to-Audio Diffusion Model For Music Synthesis Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have been in the limelight for a few months. Being one of the best advancements in the field of Artificial Intelligence, these models are transforming the way how humans interact with machines. As every industry is adopting these models, they… Read More »Google Researchers Introduce AudioPaLM: A Game-Changer in Speech Technology – A New Large Language Model That Listens, Speaks, and Translates with Unprecedented Accuracy Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ In the latest release of published papers in Machine Intelligence Research, a team of researchers dives deep into the area of vision-language pretraining (VLP) and its applications in multi-modal tasks. The paper explores the idea of uni-modal training and how it differs from multi-modal… Read More »Shaping the Future of AI: A Comprehensive Survey on Vision-Language Pre-Training Models and their Role in Uni-Modal and Multi-Modal Tasks Anant shahi Artificial Intelligence Category – MarkTechPost

​ Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows… Read More »Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake Hariharan Suresh AWS Machine Learning Blog

​ For data scientists, moving machine learning (ML) models from proof of concept to production often presents a significant challenge. One of the main challenges can be deploying a well-performing, locally trained model to the cloud for inference and use in other applications. It can… Read More »Deploy a serverless ML inference endpoint of large language models using FastAPI, AWS Lambda, and AWS CDK Tingyi Li AWS Machine Learning Blog