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​[[{“value”:” Jupyter Notebooks are a powerful open-source tool that allows users to create and share documents that contain live code, equations, visualizations, and narrative text. They are widely used in data science, machine learning, and scientific computing for interactive coding and data analysis. This tutorial… Read More »How to Use Jupyter Notebooks for Interactive Coding and Data Analysis Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite significant progress in natural language processing, many AI systems continue to encounter difficulties with advanced reasoning, especially when faced with complex mathematical problems and intricate coding tasks. Current large language models sometimes struggle with multi-step logic and may not generalize well beyond their… Read More »Qwen Releases QwQ-32B: A 32B Reasoning Model that Achieves Significantly Enhanced Performance in Downstream Task Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep Neural Network (DNN) training has experienced unprecedented growth with the rise of large language models (LLMs) and generative AI. The effectiveness of these models directly correlates with increasing their size, a development made possible by advances in GPU technology and frameworks like PyTorch… Read More »AxoNN: Advancing Large Language Model Training through Four-Dimensional Hybrid Parallel Computing Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Feature selection plays a crucial role in statistical learning by helping models focus on the most relevant predictors while reducing complexity and enhancing interpretability. Lasso regression has gained prominence among various methods because of feature selection while simultaneously building a predictive model. It achieves… Read More »Researchers at Stanford Introduces LLM-Lasso: A Novel Machine Learning Framework that Leverages Large Language Models (LLMs) to Guide Feature Selection in Lasso ℓ1 Regression Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post was co-authored with Johann Wildgruber, Dr. Jens Kohl, Thilo Bindel, and Luisa-Sophie Gloger from BMW Group. The BMW Group—headquartered in Munich, Germany—is a vehicle manufacturer with more than 154,000 employees, and 30 production and assembly facilities worldwide as well as research and development… Read More »Innovating at speed: BMW’s generative AI solution for cloud incident analysis Johann Wildgruber, Dr. Jens Kohl, Thilo Bindel, Luisa-Sophie Gloger AWS Machine Learning Blog

​[[{“value”:” Time series forecasting is critical for decision-making across industries. From predicting traffic flow to sales forecasting, accurate predictions enable organizations to make informed decisions, mitigate risks, and allocate resources efficiently. However, traditional machine learning approaches often require extensive data-specific tuning and model customization, resulting… Read More »Time series forecasting with LLM-based foundation models and scalable AIOps on AWS Nick Biso AWS Machine Learning Blog

​[[{“value”:” Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. However, building and deploying trustworthy AI… Read More »Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval Samantha Stuart AWS Machine Learning Blog

​[[{“value”:” Large language models (LLMs) generate text step by step, which limits their ability to plan for tasks requiring multiple reasoning steps, such as structured writing or problem-solving. This lack of long-term planning affects their coherence and decision-making in complex scenarios. Some approaches evaluate various… Read More »Beyond Monte Carlo Tree Search: Unleashing Implicit Chess Strategies with Discrete Diffusion Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Modern bioinformatics research is characterized by the constant emergence of complex data sources and analytical challenges. Researchers routinely confront tasks that require the synthesis of diverse datasets, the execution of iterative analyses, and the interpretation of subtle biological signals. High-throughput sequencing, multi-dimensional imaging, and… Read More »Researchers from FutureHouse and ScienceMachine Introduce BixBench: A Benchmark Designed to Evaluate AI Agents on Real-World Bioinformatics Task Asif Razzaq Artificial Intelligence Category – MarkTechPost