zetabyte

​Self-supervised learning (SSL) has made significant advances in speech representation learning. Models like wav2vec 2.0 and HuBERT have achieved state-of-the-art results in tasks such as speech recognition, particularly in monolingual settings. However, multilingual SSL models tend to underperform their monolingual counterparts on each individual language,… Read More »Leveraging Audio-Visual Data to Reduce the Multilingual Gap in Self-Supervised Speech Models Apple Machine Learning Research

​[[{“value”:” In this tutorial, we explore advanced computer vision techniques using TorchVision’s v2 transforms, modern augmentation strategies, and powerful training enhancements. We walk through the process of building an augmentation pipeline, applying MixUp and CutMix, designing a modern CNN with attention, and implementing a robust… Read More »How to Master Advanced TorchVision v2 Transforms, MixUp, CutMix, and Modern CNN Training for State-of-the-Art Computer Vision? Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Alibaba has released Qwen3-Max, a trillion-parameter Mixture-of-Experts (MoE) model positioned as its most capable foundation model to date, with an immediate public on-ramp via Qwen Chat and Alibaba Cloud’s Model Studio API. The launch moves Qwen’s 2025 cadence from preview to production and centers… Read More »Alibaba’s Qwen3-Max: Production-Ready Thinking Mode, 1T+ Parameters, and Day-One Coding/Agentic Bench Signals Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” We often say AIs “understand” code, but they don’t truly understand your problem or your codebase in the sense that humans understand things. They’re mimicking patterns from text and code they’ve seen before, either built into their model or provided by you, aiming to… Read More »Trust but Verify Andrew Stellman AI & ML – Radar

​[[{“value”:” Table of contents What pain point in forecasting is being eliminated? How does in-context fine-tuning work under the hood? What exactly is “few-shot” here? Does it actually match supervised fine-tuning? How is this different from Chronos-style approaches? What are the architectural specifics to watch?… Read More »Google AI Research Introduce a Novel Machine Learning Approach that Transforms TimesFM into a Few-Shot Learner Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:”Protein folding models have achieved groundbreaking results since the introduction of AlphaFold2, typically built via a combination of integrating domain-expertise into its architectural designs and training pipelines. Nonetheless, given the success of generative models across different but related problems, it is natural to question whether… Read More »SimpleFold: Folding Proteins is Simpler than You Think Apple Machine Learning Research

​[[{“value”:” In this tutorial, we walk through how we use Hugging Face Optimum to optimize Transformer models and make them faster while maintaining accuracy. We begin by setting up DistilBERT on the SST-2 dataset, and then we compare different execution engines, including plain PyTorch and… Read More »Coding Implementation to End-to-End Transformer Model Optimization with Hugging Face Optimum, ONNX Runtime, and Quantization Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI agents are evolving beyond basic single-task helpers into more powerful systems that can plan, critique, and collaborate with other agents to solve complex problems. Deep Agents—a recently introduced framework built on LangGraph—bring these capabilities to life, enabling multi-agent workflows that mirror real-world team… Read More »Running deep research AI agents on Amazon Bedrock AgentCore Vadim Omeltchenko Artificial Intelligence

​[[{“value”:” This post is co-written by Mark Warner, Principal Solutions Architect for Thales, Cyber Security Products. As generative AI applications make their way into production environments, they integrate with a wider range of business systems that process sensitive customer data. This integration introduces new challenges… Read More »Integrate tokenization with Amazon Bedrock Guardrails for secure data handling Nizar Kheir Artificial Intelligence