Blog - Robotic Content

Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation

by AI Generated Robotic ContentImage July 2, 2025Comments are Disabled

We just released RadialAttention, a sparse attention mechanism with O(nlog⁡n) computational complexity for long video generation. 🔍 Key Features: ✅ Plug-and-play: works with pretrained models like #Wan, #HunyuanVideo, #Mochi ✅ Speeds up both training&inference by 2–4×, without quality loss All you need is a pre-defined static attention mask! ComfyUI integration is in progress and will …

Mixture of Experts Architecture in Transformer Models

by AI Generated Robotic ContentAI/ML Research July 2, 2025Comments are Disabled

This post covers three main areas: • Why Mixture of Experts is Needed in Transformers • How Mixture of Experts Works • Implementation of MoE in Transformer Models The Mixture of Experts (MoE) concept was first introduced in 1991 by

Your First Local LLM API Project in Python Step-By-Step

by AI Generated Robotic ContentAI/ML Research July 2, 2025Comments are Disabled

Interested in leveraging a large language model (LLM) API locally on your machine using Python and not-too-overwhelming tools frameworks? In this step-by-step article, you will set up a local API where you’ll be able to send prompts to an LLM downloaded on your machine and obtain responses back.

Use Amazon SageMaker Unified Studio to build complex AI workflows using Amazon Bedrock Flows

by AI Generated Robotic ContentFAANG July 2, 2025Comments are Disabled

Organizations face the challenge to manage data, multiple artificial intelligence and machine learning (AI/ML) tools, and workflows across different environments, impacting productivity and governance. A unified development environment consolidates data processing, model development, and AI application deployment into a single system. This integration streamlines workflows, enhances collaboration, and accelerates AI solution development from concept to …

Capital One builds agentic AI modeled after its own org chart to supercharge auto sales

by AI Generated Robotic ContentAI/ML News July 2, 2025Comments are Disabled

Capital One’s head of AI foundations explained at VB Transform on how the bank patterned its AI agents after itself.Read More

A Pro-Russia Disinformation Campaign Is Using Free AI Tools to Fuel a ‘Content Explosion’

by AI Generated Robotic ContentAI/ML News July 2, 2025Comments are Disabled

Consumer-grade AI tools have supercharged Russian-aligned disinformation as pictures, videos, QR codes, and fake websites have proliferated.

RisingAttacK: New technique can make AI ‘see’ whatever you want

by AI Generated Robotic ContentAI/ML News July 2, 2025Comments are Disabled

Researchers have demonstrated a new way of attacking artificial intelligence computer vision systems, allowing them to control what the AI “sees.” The research shows that the new technique, called RisingAttacK, is effective at manipulating all of the most widely used AI computer vision systems.

Flux Kontext is great changing titles

by AI Generated Robotic ContentImage July 1, 2025Comments are Disabled

Flux Kontext can change a poster title/text while keeping the font and style. It’s really simple, just a simple prompt. Prompt: “replace the title “The New Avengers” with “Temu Avengers”, keep the typography and style, reduce font size to fit.” Workflow: https://github.com/casc1701/workflowsgalore/blob/main/Flux%20Kontext%20I2I submitted by /u/nazihater3000 [link] [comments]

Linear Layers and Activation Functions in Transformer Models

by AI Generated Robotic ContentAI/ML Research July 1, 2025Comments are Disabled

This post is divided into three parts; they are: • Why Linear Layers and Activations are Needed in Transformers • Typical Design of the Feed-Forward Network • Variations of the Activation Functions The attention layer is the core function of a transformer model.

LayerNorm and RMS Norm in Transformer Models

by AI Generated Robotic ContentAI/ML Research July 1, 2025Comments are Disabled

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 Normalization layers improve model quality in deep learning.