​[[{“value”:” In recent years, Automatic Speech Recognition (ASR) technology has gained significant traction, transforming industries ranging from healthcare to customer support. However, achieving accurate transcription across diverse languages, accents, and noisy environments remains challenging. Current speech-to-text models often face issues like inaccuracies in understanding complex… Read More »Assembly AI Introduces Universal-2: The Next Leap in Speech-to-Text Technology Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix this, like AMSGrad, require the impractical assumption of uniformly bounded gradient noise, which… Read More »ADOPT: A Universal Adaptive Gradient Method for Reliable Convergence without Hyperparameter Tuning Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an exciting update for developers, Google has launched Gemini, a new AI model that promises to be more accessible and developer-friendly. Gemini, designed to rival models like OpenAI’s GPT-4, has been made easier to access and integrate into various applications, thanks to Google’s… Read More »Gemini AI Now Accessible Through the OpenAI Library for Streamlined Use Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Microsoft Paint, the nostalgic art tool that has been a part of countless childhood memories, is stepping boldly into the future. Microsoft has announced that the beloved drawing application is getting an impressive AI makeover, integrating features that make it easier than ever to… Read More »Microsoft Paint + AI = A Creative Revolution for Everyone Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models have demonstrated remarkable capabilities in processing diverse data types, including multilingual text, code, mathematical expressions, images, and audio. However, a fundamental question arises: how do these models effectively handle such heterogeneous inputs using a single parameter set? While one approach suggests developing… Read More »The Semantic Hub: A Cognitive Approach to Language Model Representations Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI has made significant strides in developing large language models (LLMs) that excel in complex tasks such as text generation, summarization, and conversational AI. Models like LaPM 540B and Llama-3.1 405B demonstrate advanced language processing abilities, yet their computational demands limit their applicability in… Read More »A Deep Dive into Small Language Models: Efficient Alternatives to Large Language Models for Real-Time Processing and Specialized Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid scaling of diffusion models has led to memory usage and latency challenges, hindering their deployment, particularly in resource-constrained environments. Such models have manifested impressive ability in rendering highly-fidelity images but are demanding in both memory and computation, which limits their availability in… Read More »SVDQuant: A Novel 4-bit Post-Training Quantization Paradigm for Diffusion Models Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Neural networks remain a beguiling enigma to this day. On the one hand, they are responsible for automating daunting tasks across fields such as image vision, natural language comprehension, and text generation; yet, on the other hand, their underlying behaviors and decision-making processes remain… Read More »Researchers at Cambridge Provide Empirical Insights into Deep Learning through the Pedagogical Lens of Telescopic Model that Uses First-Order Approximations Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have revolutionized artificial intelligence, showing prowess in handling complex reasoning and mathematical tasks. However, these models face fundamental challenges in basic numerical understanding, an area often essential for more advanced mathematical reasoning. Researchers are increasingly exploring how LLMs manage numerical… Read More »Researchers at Peking University Introduce A New AI Benchmark for Evaluating Numerical Understanding and Processing in Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) systems have made impressive strides in recent years, showing proficiency in tackling increasingly challenging problems. However, when it comes to advanced mathematical reasoning, a substantial gap still exists between what these models can achieve and what is required to solve real-world… Read More »FrontierMath: The Benchmark that Highlights AI’s Limits in Mathematics Asif Razzaq Artificial Intelligence Category – MarkTechPost