AI News

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How LLM Unlearning Is Shaping the Future of AI Privacy

How LLM Unlearning Is Shaping the Future of AI Privacy

The rapid development of Large Language Models (LLMs) has brought about signific...

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Fixify Secures $25 Million in Series A Funding to Revolutionize IT Help Desks with AI and Human Experts

Fixify Secures $25 Million in Series A Funding to Revol...

Fixify, an innovative company combining AI with human expertise to enhance IT he...

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Archy Raises $15M to Revolutionize Dental Practices with AI-Driven Automation

Archy Raises $15M to Revolutionize Dental Practices wit...

In a major step toward transforming dental practices, Archy has secured $15 mill...

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A Game-Changer for AI: The Tsetlin Machine’s Role in Reducing Energy Consumption

A Game-Changer for AI: The Tsetlin Machine’s Role in Re...

The rapid rise of Artificial Intelligence (AI) has transformed numerous sectors,...

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Google DeepMind Open-Sources SynthID for AI Content Watermarking

Google DeepMind Open-Sources SynthID for AI Content Wat...

AI-generated content is advancing rapidly, creating both opportunities and chall...

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Starbucks: A New AI Training Strategy for Matryoshka-like Embedding Models which Encompasses both the Fine-Tuning and Pre-Training Phases

Starbucks: A New AI Training Strategy for Matryoshka-li...

In machine learning, embeddings are widely used to represent data in a compresse...

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Layer-of-Thoughts Prompting (LoT): A Unique Approach that Uses Large Language Model (LLM) based Retrieval with Constraint Hierarchies

Layer-of-Thoughts Prompting (LoT): A Unique Approach th...

Utilizing Large Language Models (LLMs) through different prompting strategies ha...

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MCSFF Framework: A Novel Multimodal Entity Alignment Framework Designed to Capture Consistency and Specificity Information across Modalities

MCSFF Framework: A Novel Multimodal Entity Alignment Fr...

Multi-modal entity alignment (MMEA) is a technique that leverages information fr...

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Understanding and Reducing Nonlinear Errors in Sparse Autoencoders: Limitations, Scaling Behavior, and Predictive Techniques

Understanding and Reducing Nonlinear Errors in Sparse A...

Sparse autoencoders (SAEs) are an emerging method for breaking down language mod...

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ElevenLabs Introduces Voice Design: A New AI Feature that Generates a Unique Voice from a Text Prompt Alone

ElevenLabs Introduces Voice Design: A New AI Feature th...

ElevenLabs just introduced Voice Design, a new AI voice generation that allows y...

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RunwayML Introduces Act-One Feature: A New Way to Generate Expressive Character Performances Using Simple Video Inputs.

RunwayML Introduces Act-One Feature: A New Way to Gener...

Runway has announced a new feature called Act-One. One popular reason why Hollyw...

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A Comprehensive Comparative Study on the Reasoning Patterns of OpenAI’s o1 Model Across Mathematical, Coding, and Commonsense Reasoning Tasks

A Comprehensive Comparative Study on the Reasoning Patt...

Large language models (LLMs) have significantly advanced handling of complex tas...

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Adaptive Data Optimization (ADO): A New Algorithm for Dynamic Data Distribution in Machine Learning, Reducing Complexity and Improving Model Accuracy

Adaptive Data Optimization (ADO): A New Algorithm for D...

Machine learning, particularly the training of large foundation models, relies h...

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Salesforce AI Research Propose Programmatic VLM Evaluation (PROVE): A New Benchmarking Paradigm for Evaluating VLM Responses to Open-Ended Queries

Salesforce AI Research Propose Programmatic VLM Evaluat...

Vision-Language Models (VLMs) are increasingly used for generating responses to ...

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Ghostbuster: Detecting Text Ghostwritten by Large Language Models

Ghostbuster: Detecting Text Ghostwritten by Large Langu...

The structure of Ghostbuster, our new state-of-the-art metho...

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Asymmetric Certified Robustness via Feature-Convex Neural Networks

Asymmetric Certified Robustness via Feature-Convex Neur...

Asymmetric Certified Robustness via Feature-Convex Neural Networks ...

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