​[[{“value”:” Technology operations (TechOps) refers to the set of processes and activities involved in managing and maintaining an organization’s IT infrastructure and services. There are several terminologies used with reference to managing information technology operations, including ITOps, SRE, AIOps, DevOps, and SysOps. For the context… Read More »Generative AI-powered technology operations Raman Pujani AWS Machine Learning Blog

​[[{“value”:” Machine learning operations (MLOps) are a set of practices that automate and simplify machine learning (ML) workflows and deployments. What is MLOps provides a detailed description of this concept. As ML workloads become increasingly complex and consume more energy and resources, a growing number… Read More »Optimizing MLOps for Sustainability Archana Srinivasan AWS Machine Learning Blog

​[[{“value”:” End-to-end (E2E) neural networks have emerged as flexible and accurate models for multilingual automatic speech recognition (ASR). However, as the number of supported languages increases, particularly those with large character sets like Chinese, Japanese, and Korean (CJK), the output layer size grows substantially. This… Read More »Apple Researchers Propose a Novel AI Algorithm to Optimize a Byte-Level Representation for Automatic Speech Recognition ASR and Compare it with UTF-8 Representation Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have revolutionized software engineering, demonstrating remarkable capabilities in various coding tasks. While recent efforts have produced autonomous software agents based on LLMs for end-to-end development tasks, these systems are typically designed for specific Software Engineering (SE) tasks. Researchers from FPT… Read More »FPT Software AI Center Introduces HyperAgent: A Groundbreaking Generalist Agent System to Resolve Various Software Engineering Tasks at Scale, Achieving SOTA Performance on SWE-Bench and Defects4J Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In June, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. The first covered building generative AI apps securely with Amazon Bedrock, while the second explored building custom generative AI applications with Amazon Bedrock.… Read More »Enabling complex generative AI applications with Amazon Bedrock Agents Vasi Philomin AWS Machine Learning Blog

​[[{“value”:” Understanding multi-page documents and news videos is a common task in human daily life. To tackle such scenarios, Multimodal Large Language Models (MLLMs) should be equipped with the ability to understand multiple images with rich visually-situated text information. However, comprehending document images is more… Read More »Optimizing Document Understanding with DocOwl2: A Novel High-Resolution Compression Architecture Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI has seen significant progress in coding, mathematics, and reasoning tasks. These advancements are driven largely by the increased use of large language models (LLMs), essential for automating complex problem-solving tasks. These models are increasingly used to handle highly specialized and structured problems in… Read More »Stanford Researchers Explore Inference Compute Scaling in Language Models: Achieving Enhanced Performance and Cost Efficiency through Repeated Sampling Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in medical multimodal large language models (MLLMs) have shown significant progress in medical decision-making. However, many models, such as Med-Flamingo and LLaVA-Med, are designed for specific tasks and require large datasets and high computational resources, limiting their practicality in clinical settings. While… Read More »Med-MoE: A Lightweight Framework for Efficient Multimodal Medical Decision-Making in Resource-Limited Settings Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI models, such as language models, need to maintain a long-term memory of their interactions to generate relevant and contextually appropriate content. One of the primary challenges in maintaining a long-term memory of their interactions is data storage and retrieval efficiency. Current language models,… Read More »Claude Memory: A Chrome Extension that Enhances Your Interaction with Claude by Providing Memory Functionality Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Phind has officially announced the release of its new flagship model, Phind-405B, along with an innovative Phind Instant model aimed at revolutionizing AI-powered search and programming tasks. These advancements represent a milestone in technical capabilities, empowering developers and technical users with more efficient, powerful… Read More »Phind Presents Phind-405B: Phind’s Flagship AI Model Enhancing Technical Task Efficiency and Lightning-Fast Phind Instant for Superior Search Performance Sana Hassan Artificial Intelligence Category – MarkTechPost