​[[{“value”:” Namaste, vanakkam, sat sri akaal — these are just three forms of greeting in India, a country with 22 constitutionally recognized languages and over 1,500 more recorded by the country’s census. Around 10% of its residents speak English, the internet’s most common language. As… Read More »India Enterprises Serve Over a Billion Local Language Speakers Using LLMs Built With NVIDIA AI Vishal Dhupar – Archives Page 1 | NVIDIA Blog

​[[{“value”:” In machine learning, embeddings are widely used to represent data in a compressed, low-dimensional vector space. They capture the semantic relationships well for performing tasks such as text classification, sentiment analysis, etc. However, they struggle to capture the intricate relationships in complex hierarchical structures… Read More »Starbucks: A New AI Training Strategy for Matryoshka-like Embedding Models which Encompasses both the Fine-Tuning and Pre-Training Phases Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Utilizing Large Language Models (LLMs) through different prompting strategies has become popular in recent years. However, many current methods frequently offer very general frameworks that neglect to handle the particular difficulties involved in creating compelling urges. Differentiating prompts in multi-turn interactions, which involve several… Read More »Layer-of-Thoughts Prompting (LoT): A Unique Approach that Uses Large Language Model (LLM) based Retrieval with Constraint Hierarchies Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multi-modal entity alignment (MMEA) is a technique that leverages information from various data sources or modalities to identify corresponding entities across multiple knowledge graphs. By combining information from text, structure, attributes, and external knowledge bases, MMEA can address the limitations of single-modal approaches and… Read More »MCSFF Framework: A Novel Multimodal Entity Alignment Framework Designed to Capture Consistency and Specificity Information across Modalities Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Sparse autoencoders (SAEs) are an emerging method for breaking down language model activations into linear, interpretable features. However, they fail to fully explain model behavior, leaving “dark matter” or unexplained variance. The ultimate aim of mechanistic interpretability is to decode neural networks by mapping… Read More »Understanding and Reducing Nonlinear Errors in Sparse Autoencoders: Limitations, Scaling Behavior, and Predictive Techniques Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” ElevenLabs just introduced Voice Design, a new AI voice generation that allows you to generate a unique voice from a text prompt alone. Text-to-speech is a very useful feature, but it has become very common, with few good options available. When we look at… Read More »ElevenLabs Introduces Voice Design: A New AI Feature that Generates a Unique Voice from a Text Prompt Alone Nishant N Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Runway has announced a new feature called Act-One. One popular reason why Hollywood movies are so expensive is because of motion capturing, animations, and CGIs. A huge chunk of any movie these days goes toward the post-production. However, Hollywood and most people don’t realize… Read More »RunwayML Introduces Act-One Feature: A New Way to Generate Expressive Character Performances Using Simple Video Inputs. Nishant N Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have significantly advanced handling of complex tasks like mathematics, coding, and commonsense reasoning. However, improving the reasoning capabilities of these models remains a challenge. Researchers have traditionally focused on increasing the number of model parameters, but this approach has yet… Read More »A Comprehensive Comparative Study on the Reasoning Patterns of OpenAI’s o1 Model Across Mathematical, Coding, and Commonsense Reasoning Tasks Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI-generated content is advancing rapidly, creating both opportunities and challenges. As generative AI tools become mainstream, the blending of human and AI-generated text raises concerns about authenticity, authorship, and misinformation. Differentiating human-authored content from AI-generated content, especially as AI becomes more natural, is a… Read More »Google DeepMind Open-Sources SynthID for AI Content Watermarking Asif Razzaq Artificial Intelligence Category – MarkTechPost