Skip to content

OpenAI Just Released Sora: The Most Awaited AI Video-Generation Tool Shobha Kakkar Artificial Intelligence Category – MarkTechPost

  • by

​[[{“value”:” OpenAI has unveiled Sora, its new text-to-video generation tool, a major step forward in AI-powered content creation. However, the launch comes with a notable exception: users in the European Union and the United Kingdom won’t have access for now, highlighting ongoing challenges between innovation… Read More »OpenAI Just Released Sora: The Most Awaited AI Video-Generation Tool Shobha Kakkar Artificial Intelligence Category – MarkTechPost

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models Apple Machine Learning Research

  • by

​[[{“value”:”*Equal Contributors Large language models (LLMs) are increasingly being adapted to achieve task-specificity for deployment in real-world decision systems. Several previous works have investigated the bias transfer hypothesis (BTH) by studying the effect of the fine-tuning adaptation strategy on model fairness to find that fairness… Read More »Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models Apple Machine Learning Research

How Fine-Tuned Large Language Models Prioritize Goal-Oriented Reasoning Over Comprehensive World Representations: Insights From the REPLACE Framework Sana Hassan Artificial Intelligence Category – MarkTechPost

  • by

​[[{“value”:” Inspired by human cognitive processes, large language models (LLMs) possess an intriguing ability to interpret and represent abstract world states, which are specific snapshots of the situation or context (basically the environment) described in the text, such as the arrangement of objects or tasks… Read More »How Fine-Tuned Large Language Models Prioritize Goal-Oriented Reasoning Over Comprehensive World Representations: Insights From the REPLACE Framework Sana Hassan Artificial Intelligence Category – MarkTechPost

Accelerating ML experimentation with enhanced security: AWS PrivateLink support for Amazon SageMaker with MLflow Xiaoyu Xing AWS Machine Learning Blog

  • by

​[[{“value”:” With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker, users want a seamless and secure way to experiment with and select the models that deliver the most… Read More »Accelerating ML experimentation with enhanced security: AWS PrivateLink support for Amazon SageMaker with MLflow Xiaoyu Xing AWS Machine Learning Blog

Voyage AI Introduces voyage-code-3: A New Next-Generation Embedding Model Optimized for Code Retrieval Mohammad Asjad Artificial Intelligence Category – MarkTechPost

  • by

​[[{“value”:” Research in code embedding models has witnessed a significant breakthrough with the introduction of voyage-code-3, an advanced embedding model specifically designed for code retrieval tasks by researchers from Voyage AI. The model demonstrates remarkable performance, substantially outperforming existing state-of-the-art solutions like OpenAI-v3-large and CodeSage-large.… Read More »Voyage AI Introduces voyage-code-3: A New Next-Generation Embedding Model Optimized for Code Retrieval Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Lavita AI Introduces Medical Benchmark for Advancing Long-Form Medical Question Answering with Open Models and Expert-Annotated Datasets Asif Razzaq Artificial Intelligence Category – MarkTechPost

  • by

​[[{“value”:” Medical question-answering (QA) systems are critical in modern healthcare, providing essential tools for medical practitioners and the public. Long-form QA systems differ significantly from simpler models by offering detailed explanations reflecting real-world clinical scenarios’ complexity. These systems must accurately interpret nuanced questions, often with… Read More »Lavita AI Introduces Medical Benchmark for Advancing Long-Form Medical Question Answering with Open Models and Expert-Annotated Datasets Asif Razzaq Artificial Intelligence Category – MarkTechPost

3D Gaussian Splatting vs NeRF: The End Game of 3D Reconstruction? Jeremy Cohen PyImageSearch

  • by

​[[{“value”:” Home Table of Contents 3D Gaussian Splatting vs NeRF: The End Game of 3D Reconstruction? Block A — Initialization: SfM to Gaussian Splatting Block B — Rasterization Block C — Optimization Example: Gaussian Splatting in Self-Driving Cars Summary 3D Gaussian Splatting vs NeRF: Which… Read More »3D Gaussian Splatting vs NeRF: The End Game of 3D Reconstruction? Jeremy Cohen PyImageSearch

Optimizing Machine Learning Models for Production: A Step-by-Step Guide Iván Palomares Carrascosa MachineLearningMastery.com

  • by

​This article provides a comprehensive step-by-step guide designed to help you navigate the challenge of optimizing your machine learning (ML) models for production, by looking at all stages in their development lifecycle, i. This article provides a comprehensive step-by-step guide designed to help you navigate the… Read More »Optimizing Machine Learning Models for Production: A Step-by-Step Guide Iván Palomares Carrascosa MachineLearningMastery.com

Decoding the Hidden Computational Dynamics: A Novel Machine Learning Framework for Understanding Large Language Model Representations Sajjad Ansari Artificial Intelligence Category – MarkTechPost

  • by

​[[{“value”:” In the rapidly evolving landscape of machine learning and artificial intelligence, understanding the fundamental representations within transformer models has emerged as a critical research challenge. Researchers are grappling with competing interpretations of what transformers represent—whether they function as statistical mimics, world models, or something… Read More »Decoding the Hidden Computational Dynamics: A Novel Machine Learning Framework for Understanding Large Language Model Representations Sajjad Ansari Artificial Intelligence Category – MarkTechPost

What are Hallucinations in LLMs and 6 Effective Strategies to Prevent Them Sana Hassan Artificial Intelligence Category – MarkTechPost

  • by

​[[{“value”:” In large language models (LLMs), “hallucination” refers to instances where models generate semantically or syntactically plausible outputs but are factually incorrect or nonsensical. For example, a hallucination occurs when a model provides erroneous information, such as stating that Addison’s disease causes “bright yellow skin”… Read More »What are Hallucinations in LLMs and 6 Effective Strategies to Prevent Them Sana Hassan Artificial Intelligence Category – MarkTechPost