​[[{“value”:” This post is co-written with Bar Fingerman from BRIA AI. This post explains how BRIA AI trained BRIA AI 2.0, a high-resolution (1024×1024) text-to-image diffusion model, on a dataset comprising petabytes of licensed images quickly and economically. Amazon SageMaker training jobs and Amazon SageMaker distributed… Read More »How BRIA AI used distributed training in Amazon SageMaker to train latent diffusion foundation models for commercial use Doron Bleiberg AWS Machine Learning Blog

​[[{“value”:” Amazon SageMaker Studio provides a comprehensive suite of fully managed integrated development environments (IDEs) for machine learning (ML), including JupyterLab, Code Editor (based on Code-OSS), and RStudio. It supports all stages of ML development—from data preparation to deployment, and allows you to launch a… Read More »Create custom images for geospatial analysis with Amazon SageMaker Distribution in Amazon SageMaker Studio Janosch Woschitz AWS Machine Learning Blog

​[[{“value”:” Large language models have become indispensable in generating intelligent and nuanced responses across a wide variety of business use cases. However, enterprises often have unique data and use cases that require customizing large language models beyond their out-of-the-box capabilities. Amazon Bedrock is a fully… Read More »Automating model customization in Amazon Bedrock with AWS Step Functions workflow Biswanath Mukherjee AWS Machine Learning Blog

​At BigML we love data. Lately, Idealista published this blog post describing some analysis of properties located in some cities Continue reading  At BigML we love data. Lately, Idealista published this blog post describing some analysis of properties located in some citiesContinue reading  Read More Anomaly Detection,… Read More »Detecting Anomalies in Idealista’s Data martinprats The Official Blog of BigML.com

​[[{“value”:” In transformer architectures, the computational costs and activation memory grow linearly with the increase in the hidden layer width of feedforward (FFW) layers. This scaling issue poses a significant challenge, especially as models become larger and more complex. Overcoming this challenge is essential for… Read More »Google DeepMind Introduces a Parameter-Efficient Expert Retrieval Mechanism that Leverages the Product Key Technique for Sparse Retrieval from a Million Tiny Experts Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Software engineering is a dynamic field focused on the systematic design, development, testing, and maintenance of software systems. This encompasses tasks like code synthesis, program repair, and test generation. Recently, advancements in large language models (LLMs) have revolutionized these processes, enabling more sophisticated automation… Read More »Agentless: An Agentless AI Approach to Automatically Solve Software Development Problems Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advances in Chemical Representations and AI in Drug Discovery: The past century’s technological advancements, especially the computer revolution and high-throughput screening in drug discovery, have necessitated the development of molecular representations readable by computers and understandable across scientific disciplines. Initially, molecules were depicted as… Read More »Advances in Chemical Representations and Artificial Intelligence AI: Transforming Drug Discovery Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mac users are accustomed to more specific, minimalist, and user-friendly applications. Jupyter is a web-based interface that prioritizes functionality over aesthetics, which might not feel as native or integrated with the Mac ecosystem as some dedicated Mac applications. For instance, Mac users often rely… Read More »Satyrn: A Modern Jupyter Client for Mac with AI-Enabled Inline Code Generation Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Complex tasks are common in software development. The quality of the user experience suffers because engineers put things off till later. But performing them annually costs businesses a tonne of money. Meet Fume, an artificial intelligence AI startup that can fix complicated problems including… Read More »Meet Fume: An AI-Powered Software Platform SWE that Solves Bugs within Slack Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Self-attention mechanisms can capture associations across entire sequences, making them excellent at processing extended contexts. However, they have a high computational cost, namely quadratic complexity, which implies that as the sequence length increases, the amount of time and memory needed increases. Recurrent Neural Networks… Read More »Revolutionizing Recurrent Neural Networks RNNs: How Test-Time Training TTT Layers Outperform Transformers Tanya Malhotra Artificial Intelligence Category – MarkTechPost