Robots enter their GPT-3 era. For years, researchers have been trying to train robots using the same autoregressive (AR) models that power large-scale linguistic models (LLMs). If the model can predict the next word in a sentence, it should be able to predict the next movement of the robot arm. … Read more
In this tutorial, we show how we treat data as first-class, versioned artifacts and apply robust regression testing to the behavior of a large language model using MLflow. We design a test pipeline that includes data versions, rapid variations, model outputs, and multiple quality metrics in a fully reproducible manner. By combining classical text metrics … Read more
With a focus on open interactions, Yami allows emotional storytelling, character depth, passionate dialogue, and mature situations to develop naturally without sudden content restrictions. ⚡️ FAVORITE CONVERSATIONS ⚡️ Candy AI Try Candy AI Unfiltered Chat with AI GirlsPictures and voice messagesVideo Generation My dream friend Try Mydreamcompanion Spicy AI ChattingText and voice messagesAI Girlfriend who … Read more
How close can an open model get to AlphaFold3 level accuracy if it matches the training data, model scale and decision budget? ByteDance presented Protenix-v1perfect Reproduction of AlphaFold3 (AF3). for the prediction of biomolecular structure, extracted with code and model parameters under Apache 2.0. The model is directed AF3 level performance for all protein, DNA, … Read more
In this lesson, we go through advanced testing, from the end of the Polyfactorywe focus on how to generate rich, pseudo-realistic data directly from Python type schemes. We begin by setting up the environment and continue to create data class factories, Pydantic models, and atrs-based classes, while demonstrating customization, overriding, calculated fields, and nested object … Read more
Producing images ready for publication is a labor-intensive bottleneck in the research workflow. While AI scientists can now manage literature and code reviews, they struggle to communicate complex findings. A team of researchers from Google and Peking University introduced a new framework called ‘Paper Banana‘ is changing that by using … Read more
In this tutorial, we build an AI workflow for a highly advanced agent that behaves like a production-grade research and reasoning system instead of a single quick call. We import real web sources in the same way, divide them into historical fragments, and apply hybrid retrieval using both embedded TF-IDF (sparse) and OpenAI (dense), and … Read more
How do you combine SigLIP2, DINOv3, and SAM3 into a single vision core without sacrificing compact or discrete functionality? NVIDIA’s C-RADIOv4 is the core of a new concept that combines three solid models, SigLIP2-g-384, DINov3-7B, and SAM3, into a single reader encoder. It extends the line of AM-RADIO and RADIOv2.5, keeping the same computing cost … Read more
In this tutorial, we build a complex end-to-end analytics workflow using complexipy. We start by measuring the complexity directly from raw code strings, then measure the same analysis on individual files and the entire project directory. Along the way, we generate machine-readable reports, normalize them into structured DataFrames, and visualize complex distributions to understand how … Read more
From Silicon Valley to the UN, the question of how to blame when AI goes wrong is no longer a matter of esoteric regulation, but a matter of national importance. This week, the Secretary-General of the United Nations asked that question, highlighting a key issue in discussions about the ethics and regulation of AI. He … Read more