​[[{“value”:” Researchers from Microsoft, the University of Massachusetts, Amherst, and the University of Maryland, College Park, address the challenge of understanding how Retrieval Augmented Generation (RAG) impacts language models’ reasoning and factual accuracy (LMs). The study focuses on whether LMs rely more on the external… Read More »Unveiling the Shortcuts: How Retrieval Augmented Generation (RAG) Influences Language Model Behavior and Memory Utilization Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Managing pull requests can be time-consuming and challenging for development teams. Reviewing code changes, ensuring compliance, updating documentation, and maintaining consistent quality are essential but demanding tasks. The complexity increases with the size and frequency of pull requests, often leading to delays and bottlenecks… Read More »CodiumAI PR-Agent: An AI-Powered Tool for Automated Pull Request Analysis, Feedback, Suggestions and More Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Given the present state of the economy, data teams must ensure that they get the most out of their Snowflake investment. The primary function of Snowflake is that of a data warehouse. Data teams can store and handle data with this cloud-based solution. A… Read More »Meet Baselit: An AI-Powered Startup that Automatically Optimizes Snowflake Costs with Zero Human Effort Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large open-source pre-training datasets are important for the research community in exploring data engineering and developing transparent, open-source models. However, there’s a major shift from frontier labs to training large multimodal models (LMMs) that need large datasets containing both images and texts. The capabilities… Read More »MINT-1T: An Open-Source Trillion Token Multimodal Interleaved Dataset and a Key Component for Training Large Multimodal Models LMMs Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Meta’s Fundamental AI Research (FAIR) team has announced several significant advancements in artificial intelligence research, models, and datasets. These contributions, grounded in openness, collaboration, excellence, and scale principles, aim to foster innovation and responsible AI development. Meta FAIR has released six major research artifacts,… Read More »Meta FAIR’s Groundbreaking AI Releases: Enhancing Creativity, Efficiency, and Responsibility in Open Science AI Research and Development Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Modern bioprocess development, driven by advanced analytical techniques, digitalization, and automation, generates extensive experimental data valuable for process optimization—ML methods to analyze these large datasets, enabling efficient exploration of design spaces in bioprocessing. Specifically, ML techniques have been applied in strain engineering, bioprocess optimization,… Read More »Harnessing Machine Learning for Advanced Bioprocess Development: From Data-Driven Optimization to Real-Time Monitoring Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning methods, particularly deep neural networks (DNNs), are widely considered vulnerable to adversarial attacks. In image classification tasks, even tiny additive perturbations in the input images can drastically affect the classification accuracy of a pre-trained model. The impact of these perturbations in real-world… Read More »This AI Paper Proposes Approximation Decision Boundary ADBA: An AI Approach for Black-Box Adversarial Attacks Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Evaluating Large Language Models (LLMs) is a challenging problem in language modeling, as real-world problems are complex and variable. Conventional benchmarks frequently fail to fully represent LLMs’ all-encompassing performance. A recent LinkedIn post has emphasized a number of important measures that are essential to… Read More »Key Metrics for Evaluating Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative models are designed to replicate the patterns in the data they are trained on, typically mirroring human actions and outputs. Since these models learn to minimize the difference between their predictions and human-generated data, they aim to match the quality of human expertise… Read More »Transcending Human Expertise: Achieving Superior Performance in Generative AI Models through Low-Temperature Sampling and Diverse Data Sana Hassan Artificial Intelligence Category – MarkTechPost