Summarizing Books as Podcasts Mike Loukides AI & ML – Radar
[[{“value”:” Like just about everyone, we were impressed by the ability of NotebookLM to generate podcasts: Two virtual people holding a discussion. You can give it some links, and it will generate a podcast based on the links. The podcasts were interesting and engaging. But… Read More »Summarizing Books as Podcasts Mike Loukides AI & ML – Radar
How to Quickly Deploy Machine Learning Models with Streamlit Iván Palomares Carrascosa MachineLearningMastery.com
This article will navigate you through the deployment of a simple machine learning (ML) for regression using Streamlit. This article will navigate you through the deployment of a simple machine learning (ML) for regression using Streamlit. Read More
Nexa AI Releases OmniAudio-2.6B: A Fast Audio Language Model for Edge Deployment Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Audio language models (ALMs) play a crucial role in various applications, from real-time transcription and translation to voice-controlled systems and assistive technologies. However, many existing solutions face limitations such as high latency, significant computational demands, and a reliance on cloud-based processing. These issues pose… Read More »Nexa AI Releases OmniAudio-2.6B: A Fast Audio Language Model for Edge Deployment Asif Razzaq Artificial Intelligence Category – MarkTechPost
DeepSeek-AI Open Sourced DeepSeek-VL2 Series: Three Models of 3B, 16B, and 27B Parameters with Mixture-of-Experts (MoE) Architecture Redefining Vision-Language AI Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Integrating vision and language capabilities in AI has led to breakthroughs in Vision-Language Models (VLMs). These models aim to process and interpret visual and textual data simultaneously, enabling applications such as image captioning, visual question answering, optical character recognition, and multimodal content analysis. VLMs… Read More »DeepSeek-AI Open Sourced DeepSeek-VL2 Series: Three Models of 3B, 16B, and 27B Parameters with Mixture-of-Experts (MoE) Architecture Redefining Vision-Language AI Asif Razzaq Artificial Intelligence Category – MarkTechPost
BiMediX2: A Groundbreaking Bilingual Bio-Medical Large Multimodal Model integrating Text and Image Analysis for Advanced Medical Diagnostics Sana Hassan Artificial Intelligence Category – MarkTechPost
[[{“value”:” Recent advancements in healthcare AI, including medical LLMs and LMMs, show great potential for improving access to medical advice. However, these models are largely English-centric, limiting their utility for non-English-speaking populations, such as those in Arabic-speaking regions. Furthermore, many medical LMMs need help to… Read More »BiMediX2: A Groundbreaking Bilingual Bio-Medical Large Multimodal Model integrating Text and Image Analysis for Advanced Medical Diagnostics Sana Hassan Artificial Intelligence Category – MarkTechPost
Meta AI Proposes Large Concept Models (LCMs): A Semantic Leap Beyond Token-based Language Modeling Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large Language Models (LLMs) have achieved remarkable advancements in natural language processing (NLP), enabling applications in text generation, summarization, and question-answering. However, their reliance on token-level processing—predicting one word at a time—presents challenges. This approach contrasts with human communication, which often operates at higher… Read More »Meta AI Proposes Large Concept Models (LCMs): A Semantic Leap Beyond Token-based Language Modeling Asif Razzaq Artificial Intelligence Category – MarkTechPost
From Theory to Practice: Compute-Optimal Inference Strategies for Language Model Sajjad Ansari Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large language models (LLMs) have demonstrated remarkable performance across multiple domains, driven by scaling laws highlighting the relationship between model size, training computation, and performance. Despite significant advancements in model scaling, a critical gap exists in comprehending how computational resources during inference impact model… Read More »From Theory to Practice: Compute-Optimal Inference Strategies for Language Model Sajjad Ansari Artificial Intelligence Category – MarkTechPost
This AI Paper Introduces SRDF: A Self-Refining Data Flywheel for High-Quality Vision-and-Language Navigation Datasets Nikhil Artificial Intelligence Category – MarkTechPost
[[{“value”:” Vision-and-Language Navigation (VLN) combines visual perception with natural language understanding to guide agents through 3D environments. The goal is to enable agents to follow human-like instructions and navigate complex spaces effectively. Such advancements hold potential in robotics, augmented reality, and smart assistant technologies, where… Read More »This AI Paper Introduces SRDF: A Self-Refining Data Flywheel for High-Quality Vision-and-Language Navigation Datasets Nikhil Artificial Intelligence Category – MarkTechPost
Beyond the Mask: A Comprehensive Study of Discrete Diffusion Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost
[[{“value”:” Masked diffusion has emerged as a promising alternative to autoregressive models for the generative modeling of discrete data. Despite its potential, existing research has been constrained by overly complex model formulations and ambiguous relationships between different theoretical perspectives. These limitations have resulted in suboptimal… Read More »Beyond the Mask: A Comprehensive Study of Discrete Diffusion Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost