​[[{“value”:” Language modeling has significantly progressed in developing algorithms to understand, generate, and manipulate human language. These advancements have led to large language models that can perform translation, summarization, and question-answering tasks. These models are crucial for natural language processing (NLP) and artificial intelligence (AI)… Read More »Researchers from Stanford and the University at Buffalo Introduce Innovative AI Methods to Enhance Recall Quality in Recurrent Language Models with JRT-Prompt and JRT-RNN Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the diverse toolkit available for deploying cloud infrastructure, Agents for Amazon Bedrock offers a practical and innovative option for teams looking to enhance their infrastructure as code (IaC) processes. Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After… Read More »Using Agents for Amazon Bedrock to interactively generate infrastructure as code Akhil Raj Yallamelli AWS Machine Learning Blog

​[[{“value”:” Retrieval Augmented Generation (RAG) is a popular paradigm that provides additional knowledge to large language models (LLMs) from an external source of data that wasn’t present in their training corpus. RAG provides additional knowledge to the LLM through its input prompt space and its… Read More »Improve RAG accuracy with fine-tuned embedding models on Amazon SageMaker Ennio Pastore AWS Machine Learning Blog

​[[{“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