​[[{“value”:” A central challenge in advancing deep learning-based classification and retrieval tasks is achieving robust representations without the need for extensive retraining or labeled data. Numerous applications depend on extensive, pre-trained models functioning as feature extractors; however, these pre-trained embeddings often fail to encapsulate the… Read More »No Train, All Gain: Enhancing Deep Frozen Representations with Self-Supervised Gradients Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large-scale neural language models (LMs) excel at performing tasks similar to their training data and basic variations of those tasks. However, it needs to be clarified whether LMs can solve new problems involving non-trivial reasoning, planning, or string manipulation that differ from their pre-training… Read More »Effectiveness of Test-Time Training to Improve Language Model Performance on Abstraction and Reasoning Tasks Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Image captioning has seen remarkable progress, but significant challenges remain, especially in creating captions that are both descriptive and factually accurate. Traditional image caption datasets, such as those relying purely on synthetic captions generated by vision-language models (VLMs) or web-scraped alt-text, often fall short… Read More »BLIP3-KALE: An Open-Source Dataset of 218 Million Image-Text Pairs Transforming Image Captioning with Knowledge-Augmented Dense Descriptions Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Data modeling and data analysis are two fundamental ideas in the contemporary field of data science that frequently overlap but are very different from one another. Although both are crucial in turning unstructured data into insightful knowledge, they are essentially distinct procedures with distinct… Read More »Data Modeling vs Data Analysis: An In-Depth Comparison Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advancements in AI have paved the way for multi-modal foundation models that simultaneously process text, images, and speech under a unified framework. These models can potentially transform various applications, from content creation to seamless translation across media types, as they enable the generation and… Read More »Meta AI Researchers Introduce Mixture-of-Transformers (MoT): A Sparse Multi-Modal Transformer Architecture that Significantly Reduces Pretraining Computational Costs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Interacting seamlessly with artificial intelligence in real time has always been a complex endeavor for developers and researchers. A significant challenge lies in integrating multi-modal information—such as text, images, and audio—into a cohesive conversational system. Despite advancements in large language models like GPT-4, many… Read More »Fixie AI Introduces Ultravox v0.4.1: A Family of Open Speech Models Trained Specifically for Enabling Real-Time Conversation with LLMs and An Open-Weight Alternative to GPT-4o Realtime Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The demand for fine-tuning LLMs to incorporate new information and refresh existing knowledge is growing. While companies like OpenAI and Google offer fine-tuning APIs that allow LLM customization, their effectiveness for knowledge updating remains to be determined. LLMs used in fields like software and… Read More »FineTuneBench: Evaluating LLMs’ Ability to Incorporate and Update Knowledge through Fine-Tuning Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” OpenAI, a pioneer in artificial intelligence technology, is preparing to unleash its next big leap: AI agents. As announced in multiple reports, including TechCrunch, Bloomberg, and The Verge, the new AI agents from OpenAI are expected to launch as early as January 2024. These… Read More »OpenAI’s Expected January Launch: AI Agents Set to Automate Everyday Life Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards, making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks. Model cards are an essential… Read More »Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry Ram Vittal AWS Machine Learning Blog

​[[{“value”:” Live streaming has been gaining immense popularity in recent years, attracting an ever-growing number of viewers and content creators across various platforms. From gaming and entertainment to education and corporate events, live streams have become a powerful medium for real-time engagement and content consumption.… Read More »Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services Luca Guida AWS Machine Learning Blog