​[[{“value”:” Organizations across industries are using automatic text summarization to more efficiently handle vast amounts of information and make better decisions. In the financial sector, investment banks condense earnings reports down to key takeaways to rapidly analyze quarterly performance. Media companies use summarization to monitor… Read More »Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS Dinesh Subramani AWS Machine Learning Blog

​[[{“value”:” There is a ton of information these days on every single phase involved in building AI algorithms, and this is great! This covers loading/preparing data, feature engineering, training, testing, hyper-parameterization, validation, explainability, MLOps, and deployment. Overlooking End-Users in AI Applications At the same time,… Read More »Bringing the End-User into the AI Picture Vincent GOSSELIN Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In a world where technology keeps getting smaller and smarter, researchers are constantly looking for new ways to integrate electronics into everyday items like clothing. A recent study addresses the challenge of creating touch-sensitive fabric that can control electronic devices. This is important because… Read More »Researchers at NC State University Combines Three-Dimensional Embroidery Techniques with Machine Learning to Create a Fabric-based Sensor that can Control Electronic Devices through Touch Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural language processing (NLP) has rapidly evolved with the development of large language models (LLMs), which are increasingly central to various tech applications. These models process and generate text in ways that mimic human understanding, but inefficiencies often hamper their potential in resource use… Read More »Researchers at Apple Release OpenELM: Model Improving NLP Efficiency Using Layer-Wise Innovation and Open-Source Approach Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have made it economically possible to perform tasks involving structured outputs, such as converting natural language into code or SQL. LLMs are also being used to convert natural language into workflows, which are collections of actions with logical connections between… Read More »Researchers at ServiceNow Propose a Machine Learning Approach to Deploy a Retrieval Augmented LLM to Reduce Hallucination and Allow Generalization in a Structured Output Task Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Are you curious about the intricate world of large language models (LLMs) and the technical jargon that surrounds them? Understanding the terminology, from the foundational aspects of training and fine-tuning to the cutting-edge concepts of transformers and reinforcement learning, is the first step towards… Read More »Understanding Key Terminologies in Large Language Model (LLM) Universe Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As countries shift towards renewable energy like wind and solar power, understanding how climate change will affect these energy sources becomes crucial. Climate change brings extreme weather events, making it hard for energy planners to predict future energy needs. While some data exists, it’s… Read More »Sup3rCC: An Open-Source Machine Learning Model that Simulates Future Climate Conditions and Their Impact on Renewable Energy Resources Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” MIT CSAIL researchers introduced MAIA (Multimodal Automated Interpretability Agent) to address the challenge of understanding neural models, especially in computer vision, where interpreting the behavior of complex models is essential for improving accuracy and robustness and identifying biases. Current methods rely on manual effort,… Read More »Researchers at MIT Propose ‘MAIA’: An Artificial Intelligence System that Uses Neural Network Models to Automate Neural Model Understanding Tasks Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The increasing complexity of AI systems, particularly with the rise of opaque models like Deep Neural Networks (DNNs), has highlighted the need for transparency in decision-making processes. As black-box models become more prevalent, stakeholders in AI demand explanations to justify decisions, especially in critical… Read More »Top 10 Explainable AI (XAI) Frameworks Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Automation in modern industries often involves repetitive tasks, but the challenge arises when tasks require flexibility and spontaneous decision-making. Traditional robotic process automation (RPA) systems are designed for static, routine activities, falling short when unpredictability is introduced. These systems are typically confined to predefined… Read More »JP Morgan AI Research Introduces FlowMind: A Novel Machine Learning Approach that Leverages the Capabilities of LLMs such as GPT to Create an Automatic Workflow Generation System Nikhil Artificial Intelligence Category – MarkTechPost