​[[{“value”:” Amazon SageMaker Ground Truth is a powerful data labeling service offered by AWS that provides a comprehensive and scalable platform for labeling various types of data, including text, images, videos, and 3D point clouds, using a diverse workforce of human annotators. In addition to… Read More »Create a data labeling project with Amazon SageMaker Ground Truth Plus Joydeep Saha AWS Machine Learning Blog

​[[{“value”:” Predibase announces the Predibase Inference Engine, their new infrastructure offering designed to be the best platform for serving fine-tuned small language models (SLMs). The Predibase Inference Engine dramatically improves SLM deployments by making them faster, easily scalable, and more cost-effective for enterprises grappling with… Read More »Revolutionizing Fine-Tuned Small Language Model Deployments: Introducing Predibase’s Next-Gen Inference Engine Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Despite their remarkable capabilities across diverse tasks, creating workflows that combine multiple LLMs into coherent sequences is labor-intensive, which limits scalability and adaptability to new tasks. Efforts to automate workflow generation… Read More »AFlow: A Novel Artificial Intelligence Framework for Automated Workflow Optimization Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s fast-paced and interconnected world, mental health is more important than ever. The constant pressures of work, social media, and global events can take a toll on our emotional and psychological well-being. Mental health, being so important, is not paid attention to over… Read More »MentalArena: A Self-Play AI Framework Designed to Train Language Models for Diagnosis and Treatment of Mental Health Disorders Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” XAI, or Explainable AI, brings about a paradigm shift in neural networks that emphasizes the need to explain the decision-making processes of neural networks, which are well-known black boxes. In XAI, methods of feature selection, mechanistic interpretability, concept-based explainability, and training data attribution (TDA)… Read More »Quanda: A New Python Toolkit for Standardized Evaluation and Benchmarking of Training Data Attribution (TDA) in Explainable AI Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Back in August, I cavalierly said that AI couldn’t design a car if it hadn’t seen one first, and I alluded to Henry Ford’s apocryphal statement “If I had asked people what they wanted, they would have said faster horses.” I’m not backing down… Read More »Henry Ford Does AI Mike Loukides AI & ML – Radar

​[[{“value”:” A major challenge in the evaluation of vision-language models (VLMs) lies in understanding their diverse capabilities across a wide range of real-world tasks. Existing benchmarks often fall short, focusing on narrow sets of tasks or limited output formats, resulting in inadequate evaluation of the… Read More »MEGA-Bench: A Comprehensive AI Benchmark that Scales Multimodal Evaluation to Over 500 Real-World Tasks at a Manageable Inference Cost Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Current text-to-image generation models face significant challenges with computational efficiency and refining image details, particularly at higher resolutions. Most diffusion models perform the generation process in a single stage, requiring each denoising step to be conducted on high-resolution images. This results in high computational… Read More »Researchers from Tsinghua University and Zhipu AI Introduced CogView3: An Innovative Cascaded Framework that Enhances the Performance of Text-to-Image Diffusion Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The challenge lies in automating computer tasks by replicating human-like interaction, which involves understanding varied user interfaces, adapting to new applications, and managing complex sequences of actions similar to how a human would perform them. Current solutions struggle with handling complex and varied interfaces,… Read More »Simular Research Introduces Agent S: An Open-Source AI Framework Designed to Interact Autonomously with Computers through a Graphical User Interface Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A Model Inversion (MI) attack is a type of privacy attack on machine learning and deep learning models, where an attacker tries to invert the model’s outputs to recreate privacy-sensitive training data that was used during training including the leakage of private images in… Read More »MIBench: A Comprehensive AI Benchmark for Model Inversion Attack and Defense Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost