​[[{“value”:” Federated Learning is a distributed method of Machine Learning that puts user privacy first by storing data locally and never centralizing it on a server. Numerous applications have successfully used this technique, especially those requiring sensitive data like healthcare and banking. Each training round… Read More »FedPart: A New AI Technique for Enhancing Federated Learning Efficiency through Partial Network Updates and Layer Selection Strategies Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written with Lee Rehwinkel from Planview. Businesses today face numerous challenges in managing intricate projects and programs, deriving valuable insights from massive data volumes, and making timely decisions. These hurdles frequently lead to productivity bottlenecks for program managers and executives, hindering… Read More »How Planview built a scalable AI Assistant for portfolio and project management using Amazon Bedrock Sunil Ramachandra AWS Machine Learning Blog

​[[{“value”:” Retrieval-augmented generation (RAG) systems blend retrieval and generation processes to address the complexities of answering open-ended, multi-dimensional questions. By accessing relevant documents and knowledge, RAG-based models generate answers with additional context, offering richer insights than generative-only models. This approach is useful in fields where… Read More »Salesforce AI Research Introduces a Novel Evaluation Framework for Retrieval-Augmented Generation (RAG) Systems based on Sub-Question Coverage Asif Razzaq Artificial Intelligence Category – MarkTechPost

​  Are you a machine learning enthusiast looking to level up your skills? If so, contributing to open-source machine learning projects is one of the best ways to improve your coding skills.   Are you a machine learning enthusiast looking to level up your skills? If… Read More »7 Open-Source Machine Learning Projects You Can Contribute To Today Bala Priya C MachineLearningMastery.com

​[[{“value”:” A major challenge in AI research is how to develop models that can balance fast, intuitive reasoning with slower, more detailed reasoning in an efficient way. Human cognition operates by using two systems: System 1, which is fast and intuitive, and System 2, which… Read More »This AI Paper from Meta AI Unveils Dualformer: Controllable Fast and Slow Thinking with Randomized Reasoning Traces, Revolutionizing AI Decision-Making Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. As NLP continues to advance, there is a growing need for skilled professionals to develop innovative solutions for various applications, such as chatbots, sentiment analysis,… Read More »20 GitHub Repositories to Master Natural Language Processing (NLP) Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” One of the fundamental challenges in IR is that the classic systems are not designed to handle dynamic, multi-step tasks. Current IR frameworks rely on an immutable, predefined architecture that enables only single-step interactions; users must explicitly revise queries to get the desired results.… Read More »Can AI Agents Transform Information Retrieval? This AI Paper Unveils Agentic Information Retrieval for Smarter, Multi-Step Interactions Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” To determine if two biological or artificial systems process information similarly, various similarity measures are used, such as linear regression, Centered Kernel Alignment (CKA), Normalized Bures Similarity (NBS), and angular Procrustes distance. Despite their popularity, the factors contributing to high similarity scores and what… Read More »Decoding Similarity: A Framework for Analyzing Neural and Model Representations Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Accurate assessment of Large Language Models is best done with complex tasks involving long input sequences. Input sequence can exceed even 200,000 tokens in complex tasks such as repository analysis and information retrieval.LLMs, in response, have evolved, too, to accommodate context lengths of up… Read More »LongPiBench: A Comprehensive Benchmark that Explores How Even the Top Large Language Models have Relative Positional Biases Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advanced AI technologies have brought about groundbreaking ways to deal with data. For many organizations and individuals, managing and analyzing data effectively has remained a persistent challenge. One of the core issues faced by users has been the time and technical know-how required to… Read More »Anthropic Adds New Analysis Tool in Claude that can Write and Run Code to Perform Calculations and Analyze Data from CSVs Asif Razzaq Artificial Intelligence Category – MarkTechPost