​Contrastive learning has emerged as a transformative method for learning effective visual representations through the alignment of image and text embeddings. However, pairwise similarity computation in contrastive loss between image and text pairs poses computational challenges. This paper presents a novel weakly supervised pre-training of… Read More »CatLIP: CLIP-level Visual Recognition Accuracy with 2.7× Faster Pre-training on Web-scale Image-Text Data Apple Machine Learning Research

​[[{“value”:” Gene editing is a rapidly evolving field with profound implications for agriculture, biotechnology, and medicine. One of the most promising tools in this arena is the CRISPR-Cas system, originally derived from bacterial immune defence mechanisms. This technology offers a precise means of altering genetic… Read More »OpenCRISPR: An Open-Source AI-Generated Gene Editor that Exhibits Compatibility with Base Editing Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have grown remarkably over the past few years, largely driven by global initiatives to scale up both model sizes and datasets. From just one billion parameters five years ago, exemplified by GPT-2 with 1.5 billion parameters, LLMs now boast trillion-parameter architectures. This push… Read More »Microsoft AI Releases Phi-3 Family of Models: A 3.8B Parameter Language Model Trained on 3.3T Tokens Locally on Your Phone Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Inpainting and outpainting have long been popular and well-studied image processing domains. Traditional approaches to these problems often relied on complex algorithms and deep learning techniques yet still gave inconsistent outputs. However, recent advancements in the form of Stable diffusion have reshaped these domains.… Read More »Inpainting and Outpainting with Stable Diffusion Kanwal Mehreen MachineLearningMastery.com

​[[{“value”:” Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock, developers can create systems that expertly manage and respond to user requests. Amazon… Read More »Enhance conversational AI with advanced routing techniques with Amazon Bedrock Ameer Hakme AWS Machine Learning Blog

​[[{“value”:” The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The team navigates a large volume of documents and locates the right information to make sure the warehouse design meets the highest standards. In the post… Read More »Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering Yunfei Bai AWS Machine Learning Blog

​[[{“value”:” In various industries, such as financial services, telecommunications, and healthcare, customers use a digital identity process, which usually involves several steps to verify end-users during online onboarding or step-up authentication. An example of one step that can be used is face search, which can… Read More »Improve accuracy of Amazon Rekognition Face Search with user vectors Arik Porat AWS Machine Learning Blog

​[[{“value”:” What is CopilotKit? CopilotKit is an open-source framework designed to facilitate the integration of AI into applications. With 4.4k+Git Stars, it has received great appreciation within the open-source community. It helps to create custom AI copilots, including in-app AI chatbots and agents capable of… Read More »Meet CopilotKit: An Open-Source Copilot Platform for Seamless AI Integration in Any Application Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Power BI is a business intelligence (BI) tool developed by Microsoft for creating dashboards and reports. It supports integrations with a wide range of data sources and allows users to perform complex transformations using Power Query and create compelling visualizations with the help of… Read More »Top Power BI Books to Read in 2024 Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have steered in a period of extraordinary growth for Artificial Intelligence (AI) technology. To address issues like conversation hallucination, these models are being used increasingly in various settings where unstructured multimedia data is converted into embedding vectors. Vector Data Management… Read More »VDTuner: A Machine Learning-Based Automatic Performance Tuning Framework for Vector Data Management Systems (VDMSs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost