AI Revolution

Category: AI Category

  • Meta will train AI models using EU user data

    Meta has confirmed plans to utilise content shared by its adult users in the EU (European Union) to train its AI models. The announcement follows the recent launch of Meta AI features in Europe and aims to enhance the capabilities and cultural relevance of its AI systems for the region’s diverse population.    In a statement,…

  • Understanding RAG Part IX: Fine-Tuning LLMs for RAG

    Be sure to check out the previous articles in this series: • <a href="https://machinelearningmastery. Source link

  • Understanding RAG Part X: RAG Pipelines in Production

    Be sure to check out the previous articles in this series: • <a href="https://machinelearningmastery. Source link

  • 5 Lessons Learned Building RAG Systems

    Retrieval augmented generation (RAG) is one of 2025’s hot topics in the AI landscape. Source link

  • Generating and Visualizing Context Vectors in Transformers

    This post is divided into three parts; they are: • Understanding Context Vectors • Visualizing Context Vectors from Different Layers • Visualizing Attention Patterns Unlike traditional word embeddings (such as Word2Vec or GloVe), which assign a fixed vector to each word regardless of context, transformer models generate dynamic representations that depend on surrounding words. Source…

  • Applications with Context Vectors

    This post is divided into two parts; they are: • Contextual Keyword Extraction • Contextual Text Summarization Contextual keyword extraction is a technique for identifying the most important words in a document based on their contextual relevance. Source link

  • Swapping LLMs isn’t plug-and-play: Inside the hidden cost of model migration

    Swapping LLMs isn’t plug-and-play: Inside the hidden cost of model migration

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Swapping large language models (LLMs) is supposed to be easy, isn’t it? After all, if they all speak “natural language,” switching from GPT-4o to Claude or Gemini should be as simple as changing an API key……

  • Swapping LLMs isn’t plug-and-play: Inside the hidden cost of model migration

    Swapping LLMs isn’t plug-and-play: Inside the hidden cost of model migration

    Swapping large language models (LLMs) is supposed to be easy, isn’t it? After all, if they all speak “natural language,” switching from GPT-4o to Claude or Gemini should be as simple as changing an API key… right? In reality, each model interprets and responds to prompts differently, making the transition anything but seamless. Enterprise teams…

  • OpenAI launches o3 and o4-mini, AI models that ‘think with images’ and use tools autonomously

    OpenAI launches o3 and o4-mini, AI models that ‘think with images’ and use tools autonomously

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI launched two groundbreaking AI models today that can reason with images and use tools independently, representing what experts call a step change in artificial intelligence capabilities. The San Francisco-based company introduced o3 and o4-mini, the…

  • 404-GEN integrates decentralized 3D model generation platform with Unity

    404-GEN integrates decentralized 3D model generation platform with Unity

    404-GEN today announced it has become the first decentralized 3D model generation platform to integrate with Unity. The integration with Unity, platform to create and grow games and interactive experiences, enables developers or even players to generate models directly from the Bittensor mainnet within the Unity environment. The company targets next-gen content creators, not necessarily…