Table of contents Why was a new multilingual encoder needed? Understanding the architecture of mmBERT What training data and phases […]
Category: Applications
Baidu Releases ERNIE-4.5-21B-A3B-Thinking: A Compact MoE Model for Deep Reasoning
Baidu AI Research team has just released ERNIE-4.5-21B-A3B-Thinking, a new reasoning-focused large language model designed around efficiency, long-context reasoning, and […]
Building a Speech Enhancement and Automatic Speech Recognition (ASR) Pipeline in Python Using SpeechBrain
In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean […]
MBZUAI Researchers Release K2 Think: A 32B Open-Source System for Advanced AI Reasoning and Outperforms 20x Larger Reasoning Models
A team of researchers from MBZUAI’s Institute of Foundation Models and G42 released K2 Think, is a 32B-parameter open reasoning […]
Meta Superintelligence Labs Introduces REFRAG: Scaling RAG with 16× Longer Contexts and 31× Faster Decoding
Table of contents Why is long context such a bottleneck for LLMs? How does REFRAG compress and shorten context? How […]
Tilde AI Releases TildeOpen LLM: An Open-Source Large Language Model with Over 30 Billion Parameters and Support Most European Languages
Latvian language-tech firm Tilde has released TildeOpen LLM, an open-source foundational large language model (LLM) purpose-built for European languages, with […]
From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem
Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and […]
Alibaba Qwen Team Releases Mobile-Agent-v3 and GUI-Owl: Next-Generation Multi-Agent Framework for GUI Automation
Table of contents Introduction: The Rise of GUI Agents Architecture and Core Capabilities Training and Data Pipeline Benchmarking and Performance […]
Microsoft AI Introduces rStar2-Agent: A 14B Math Reasoning Model Trained with Agentic Reinforcement Learning to Achieve Frontier-Level Performance
Table of contents The Problem with “Thinking Longer” The Agentic Approach Infrastructure Challenges and Solutions GRPO-RoC: Learning from High-Quality Examples […]
Building and Optimizing Intelligent Machine Learning Pipelines with TPOT for Complete Automation and Performance Enhancement
We begin this tutorial to demonstrate how to harness TPOT to automate and optimize machine learning pipelines practically. By working […]