AI News

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SPARE: Training-Free Representation Engineering for Managing Knowledge Conflicts in Large Language Models

SPARE: Training-Free Representation Engineering for Man...

Large Language Models (LLMs) have demonstrated impressive capabilities in handli...

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Meet mcdse-2b-v1: A New Performant, Scalable and Efficient Multilingual Document Retrieval Model

Meet mcdse-2b-v1: A New Performant, Scalable and Effici...

The rise of the information era has brought an overwhelming amount of data in va...

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Meta AI Silently Releases NotebookLlama: An Open Version of Google’s NotebookLM

Meta AI Silently Releases NotebookLlama: An Open Versio...

Meta has recently released NotebookLlama, an open version of Google’s NotebookLM...

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Microsoft Asia Research Introduces SPEED: An AI Framework that Aligns Open-Source Small Models (8B) to Efficiently Generate Large-Scale Synthetic Embedding Data

Microsoft Asia Research Introduces SPEED: An AI Framewo...

Text embedding, a central focus within natural language processing (NLP), transf...

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ConceptDrift: An AI Method to Identify Biases Using a Weight-Space Approach Moving Beyond Traditional Data-Restricted Protocols

ConceptDrift: An AI Method to Identify Biases Using a W...

Datasets and pre-trained models come with intrinsic biases. Most methods rely on...

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Researchers at the Ohio State University Introduce Famba-V: A Cross-Layer Token Fusion Technique that Enhances the Training Efficiency of Vision Mamba Models

Researchers at the Ohio State University Introduce Famb...

The efficient training of vision models is still a major challenge in AI because...

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GeoCoder: Enhancing Geometric Reasoning in Vision-Language Models through Modular Code-Finetuning and Retrieval-Augmented Memory

GeoCoder: Enhancing Geometric Reasoning in Vision-Langu...

Geometry problem-solving relies heavily on advanced reasoning skills to interpre...

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Google AI Introduces Iterative BC-Max: A New Machine Learning Technique that Reduces the Size of Compiled Binary Files by Optimizing Inlining Decisions

Google AI Introduces Iterative BC-Max: A New Machine Le...

When applying Reinforcement Learning (RL) to real-world applications, two key ch...

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This AI Paper Introduces Optimal Covariance Matching for Efficient Diffusion Models

This AI Paper Introduces Optimal Covariance Matching fo...

Probabilistic diffusion models have become essential for generating complex data...

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10 Best JavaScript Frameworks for Building AI Systems  (October 2024)

10 Best JavaScript Frameworks for Building AI Systems ...

As artificial intelligence continues to reshape the tech landscape, JavaScript a...

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IBM Developers Release Bee Agent Framework: An Open-Source AI Framework for Building, Deploying, and Serving Powerful Agentic Workflows at Scale

IBM Developers Release Bee Agent Framework: An Open-Sou...

In recent years, AI-driven workflows and automation have advanced remarkably. Ye...

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CMU Researchers Propose API-Based Web Agents: A Novel AI Approach to Web Agents by Enabling them to Use APIs in Addition to Traditional Web-Browsing Techniques

CMU Researchers Propose API-Based Web Agents: A Novel A...

AI agents have become essential tools for navigating web environments and perfor...

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Can LLMs Follow Instructions Reliably? A Look at Uncertainty Estimation Challenges

Can LLMs Follow Instructions Reliably? A Look at Uncert...

Large Language Models (LLMs) have potential applications in education, healthcar...

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FedPart: A New AI Technique for Enhancing Federated Learning Efficiency through Partial Network Updates and Layer Selection Strategies

FedPart: A New AI Technique for Enhancing Federated Lea...

Federated Learning is a distributed method of Machine Learning that puts user pr...

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Mechanistic Unlearning: A New AI Method that Uses Mechanistic Interpretability to Localize and Edit Specific Model Components Associated with Factual Recall Mechanisms

Mechanistic Unlearning: A New AI Method that Uses Mecha...

 Large language models (LLMs) sometimes learn the things that we don’t want them...

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Google Researchers Introduce UNBOUNDED: An Interactive Generative Infinite Game based on Generative AI Models

Google Researchers Introduce UNBOUNDED: An Interactive ...

Games can be thought of as either finite or infinite. Finite games are structure...

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