The Alibaba Qwen team has introduced Qwen-VLo, a new addition to its Qwen model family, designed to unify multimodal understanding and generation within a single framework. Positioned as a powerful creative engine, Qwen-VLo enables…
Category: AI
-
LayerNorm and RMS Norm in Transformer Models
This post is divided into five parts; they are: • Why Normalization is Needed in Transformers • LayerNorm and Its Implementation • Adaptive LayerNorm • RMS Norm and Its Implementation • Using PyTorch’s Built-in Normalization…
Continue Reading
-
Getting Started with MLFlow for LLM Evaluation
MLflow is a powerful open-source platform for managing the machine learning lifecycle. While it’s traditionally used for tracking model experiments, logging parameters, and managing deployments, MLflow has recently introduced…
Continue Reading
-
Unbabel Introduces TOWER+: A Unified Framework for High-Fidelity Translation and Instruction-Following in Multilingual LLMs
Large language models have driven progress in machine translation, leveraging massive training corpora to translate dozens of languages and dialects while capturing subtle linguistic nuances. Yet, fine-tuning these models for…
Continue Reading
-
OpenAI’s Unreleased AGI Paper Could Complicate Microsoft Negotiations
A small clause inside OpenAI’s contract with Microsoft, once considered a distant hypothetical, has now become a flashpoint in one of the biggest partnerships in tech.
The clause states that if OpenAI’s board ever declares it has developed…
Continue Reading
-
MIT and Mass General Brigham launch joint seed program to accelerate innovations in health | MIT News
Leveraging the strengths of two world-class research institutions, MIT and Mass General Brigham (MGB) recently celebrated the launch of the MIT-MGB Seed Program. The new initiative, which is supported by Analog Devices…
Continue Reading
-
Using generative AI to help robots jump higher and land safely | MIT News
Diffusion models like OpenAI’s DALL-E are becoming increasingly useful in helping brainstorm new designs. Humans can prompt these systems to generate an image, create a video, or refine a blueprint, and come back with…
Continue Reading
-
Polaris-4B and Polaris-7B: Post-Training Reinforcement Learning for Efficient Math and Logic Reasoning
The Rising Need for Scalable Reasoning Models in Machine Intelligence
Advanced reasoning models are at the frontier of machine intelligence, especially in domains like math problem-solving and symbolic reasoning. These models are…
Continue Reading
-
GURU: A Reinforcement Learning Framework that Bridges LLM Reasoning Across Six Domains
Limitations of Reinforcement Learning in Narrow Reasoning Domains
Reinforcement Learning RL has demonstrated strong potential to enhance the reasoning capabilities of LLMs, particularly in leading systems such as OpenAI-O3 and…
Continue Reading
-
Build a Powerful Multi-Tool AI Agent Using Nebius with Llama 3 and Real-Time Reasoning Tools
In this tutorial, we introduce an advanced AI agent built using Nebius’ robust ecosystem, particularly the ChatNebius, NebiusEmbeddings, and NebiusRetriever components. The agent utilizes the Llama-3.3-70B-Instruct-fast model to…
Continue Reading