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This AI Paper Introduces Inference-Time Scaling Techniques: Microsoft’s Deep Evaluation of Reasoning Models on Complex Tasks Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models are often praised for their linguistic fluency, but a growing area of focus is enhancing their reasoning ability—especially in contexts where complex problem-solving is required. These include mathematical equations and tasks involving spatial logic, pathfinding, and structured planning. In such domains,… Read More »This AI Paper Introduces Inference-Time Scaling Techniques: Microsoft’s Deep Evaluation of Reasoning Models on Complex Tasks Nikhil Artificial Intelligence Category – MarkTechPost

Do LLMs Estimate Uncertainty Well in Instruction-Following? Apple Machine Learning Research

​Large language models (LLMs) could be valuable personal AI agents across various domains, provided they can precisely follow user instructions. However, recent studies have shown significant limitations in LLMs’ instruction-following capabilities, raising concerns about their reliability in high-stakes applications. Accurately estimating LLMs’ uncertainty in adhering… Read More »Do LLMs Estimate Uncertainty Well in Instruction-Following? Apple Machine Learning Research

Revisit Large-Scale Image–Caption Data in Pre-training Multimodal Foundation Models Apple Machine Learning Research

​Recent advancements in multimodal models highlight the value of rewritten captions for improving performance, yet key challenges remain. Notably, the role of synthetic captions and their interaction with original web-crawled AltTexts in pre-training is still unclear. Additionally, different multimodal foundation models may have distinct preferences… Read More »Revisit Large-Scale Image–Caption Data in Pre-training Multimodal Foundation Models Apple Machine Learning Research

Llama 4 family of models from Meta are now available in SageMaker JumpStart Marco Punio AWS Machine Learning Blog

​[[{“value”:” Today, we’re excited to announce the availability of Llama 4 Scout and Maverick models in Amazon SageMaker JumpStart and coming soon in Amazon Bedrock. Llama 4 represents Meta’s most advanced multimodal models to date, featuring a mixture of experts (MoE) architecture and context window support… Read More »Llama 4 family of models from Meta are now available in SageMaker JumpStart Marco Punio AWS Machine Learning Blog

Multi-tenancy in RAG applications in a single Amazon Bedrock knowledge base with metadata filtering Breanne Warner AWS Machine Learning Blog

​[[{“value”:” Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies and AWS. Amazon Bedrock Knowledge Bases offers fully managed, end-to-end Retrieval Augmented Generation (RAG) workflows to create highly accurate, low-latency, secure, and custom generative… Read More »Multi-tenancy in RAG applications in a single Amazon Bedrock knowledge base with metadata filtering Breanne Warner AWS Machine Learning Blog

RARE (Retrieval-Augmented Reasoning Modeling): A Scalable AI Framework for Domain-Specific Reasoning in Lightweight Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have demonstrated strong general-purpose performance across various tasks, including mathematical reasoning and automation. However, they struggle in domain-specific applications where specialized knowledge and nuanced reasoning are essential. These challenges arise primarily from the difficulty of accurately representing long-tail domain knowledge within finite parameter… Read More »RARE (Retrieval-Augmented Reasoning Modeling): A Scalable AI Framework for Domain-Specific Reasoning in Lightweight Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

Advanced tracing and evaluation of generative AI agents using LangChain and Amazon SageMaker AI MLFlow Sandeep Raveesh-Babu AWS Machine Learning Blog

​[[{“value”:” Developing generative AI agents that can tackle real-world tasks is complex, and building production-grade agentic applications requires integrating agents with additional tools such as user interfaces, evaluation frameworks, and continuous improvement mechanisms. Developers often find themselves grappling with unpredictable behaviors, intricate workflows, and a… Read More »Advanced tracing and evaluation of generative AI agents using LangChain and Amazon SageMaker AI MLFlow Sandeep Raveesh-Babu AWS Machine Learning Blog

Example Applications of Text Embedding Muhammad Asad Iqbal Khan MachineLearningMastery.com

​This post is divided into five parts; they are: • Recommendation Systems • Cross-Lingual Applications • Text Classification • Zero-Shot Classification • Visualizing Text Embeddings A simple recommendation system can be created by finding a few of the most similar items to the target item. This… Read More »Example Applications of Text Embedding Muhammad Asad Iqbal Khan MachineLearningMastery.com

Diagonalize Matrix for Data Compression with Singular Value Decomposition Puneet Mangla PyImageSearch

​[[{“value”:” Home Table of Contents Diagonalize Matrix for Data Compression with Singular Value Decomposition What Is Matrix Diagonalization? Mathematical Definition Singular Value Decomposition How to Diagonalize Matrix with Singular Value Decomposition Power Iteration Algorithm Step 1: Start with a Random Vector Step 2: Iteratively Refine… Read More »Diagonalize Matrix for Data Compression with Singular Value Decomposition Puneet Mangla PyImageSearch