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introduce When you use AI and natural language processing, you will quickly encounter two basic concepts that are often confused: tokenization and blocking. Although both involve breaking the text into smaller works, they are...
In this tutorial, we set out to reproduce the spirit of a hierarchical reasoning model (HRM) using a locally run free embrace facial model. We introduce the design of lightweight but structured reasoning agents,...
“Think longer” question Large language models have made impressive progress in mathematical reasoning by extending their chain of ideas (COT) processes, which is actually “think longer” through more detailed reasoning steps. However, this approach...
Modern large language models (LLMs) go far beyond simple text generation. Many of the most promising real-world applications now require these models to use external tools such as APIs, databases, and software libraries to...
Voice AI technology has experienced unprecedented growth in 2025, with revolutionary breakthroughs in real-time conversation AI, emotional intelligence and voice synthesis. As businesses increasingly adopt voice agents and consumers to embrace the next generation...
Microsoft AI Lab officially launched mai-voice-1 and MAI-1 reviewmarking a new stage in the company’s artificial intelligence research and development work. The announcement explains how Microsoft AI Labs participates in AI research without any...
We begin this tutorial to demonstrate how to use it TPOT It’s actually to automate and optimize the machine learning pipeline. By working directly in Google Colab, we ensure that the settings are lightweight,...
How tracking tools evolve with the API restrictions of social media How tracking tools evolve with the API restrictions of social media ...
2025 marks a turning point for voice AI agents, with technology reaching the level of naturalness, contextual awareness and commercial adoption that it was ten years ago. Voice AI is no longer limited to...
Hidden cost of AI: GPU bill AI model training often consumes millions of dollars in GPU computing, a burden that shapes budgets, limits experiments, and slows down progress. Status: Training a modern language model...
Openai has officially launched Real-time API and GPT-REALTIMEits state-of-the-art voice-to-voice model, uses enterprise-centric features to move real-time APIs out of beta. While the announcement marks a real advance in voice AI technology, a closer...
Large Language Models (LLM) are now at the center of countless AI breakthroughs – chatbots, coding assistants, Q&A, creative writing, and more. But despite their talents, they still Stateless: Every query arrives, no memory...
Multimodal radiology breakthrough introduce Latest advances in medical AI emphasize that breakthroughs depend not only on the complexity of the model, but fundamentally on the quality and richness of the underlying data. This case...