Robotaxi Outage in China Leaves Passengers Stranded on Highways
A suspected system failure froze Baidu’s robotaxis across Wuhan, trapping passengers and reportedly causing traffic disruptions and crashes.
Chip-scale light technology could power faster AI and data center communications
Researchers at Trinity have developed a new light-based technology on a tiny chip that could help make the data centers behind cloud computing, artificial intelligence, and global internet services faster and more efficient. In the new research, recently published in Nature Communications, the Trinity team reported one such promising advance with collaborators at the University …
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Mugen – Modernized Anime SDXL Base, or how to make Bluvoll tiny bit less sane
Your monthly “Anzhc’s Posts” issue have arrived. Today im introducing – Mugen – continuation of the Flux 2 VAE experiment on SDXL. We have renamed it to signify strong divergence from prior Noobai models, and to finally have a normal name, no more NoobAI-Flux2VAE-Rectified-Flow-v-0.3-oc-gaming-x. In this run in particular we have prioritized character knowledge, and …
Read more “Mugen – Modernized Anime SDXL Base, or how to make Bluvoll tiny bit less sane”
Mugen – Modernized Anime SDXL Base, or how to make Bluvoll tiny bit less sane
Your monthly “Anzhc’s Posts” issue have arrived. Today im introducing – Mugen – continuation of the Flux 2 VAE experiment on SDXL. We have renamed it to signify strong divergence from prior Noobai models, and to finally have a normal name, no more NoobAI-Flux2VAE-Rectified-Flow-v-0.3-oc-gaming-x. In this run in particular we have prioritized character knowledge, and …
Read more “Mugen – Modernized Anime SDXL Base, or how to make Bluvoll tiny bit less sane”
From Prompt to Prediction: Understanding Prefill, Decode, and the KV Cache in LLMs
This article is divided into three parts; they are: • How Attention Works During Prefill • The Decode Phase of LLM Inference • KV Cache: How to Make Decode More Efficient Consider the prompt: Today’s weather is so .
From Prompt to Prediction: Understanding Prefill, Decode, and the KV Cache in LLMs
This article is divided into three parts; they are: • How Attention Works During Prefill • The Decode Phase of LLM Inference • KV Cache: How to Make Decode More Efficient Consider the prompt: Today’s weather is so .
7 Essential Python Itertools for Feature Engineering
Feature engineering is where most of the real work in machine learning happens.
7 Essential Python Itertools for Feature Engineering
Feature engineering is where most of the real work in machine learning happens.
Entropy-Preserving Reinforcement Learning
Policy gradient algorithms have driven many recent advancements in language model reasoning. An appealing property is their ability to learn from exploration on their own trajectories, a process crucial for fostering diverse and creative solutions. As we show in this paper, many policy gradient algorithms naturally reduce the entropy—and thus the diversity of explored trajectories—as …
How Ring scales global customer support with Amazon Bedrock Knowledge Bases
This post is cowritten with David Kim, and Premjit Singh from Ring. Scaling self-service support globally presents challenges beyond translation. In this post, we show you how Ring, Amazon’s home security subsidiary, built a production-ready, multi-locale Retrieval-Augmented Generation (RAG)-based support chatbot using Amazon Bedrock Knowledge Bases. By eliminating per-Region infrastructure deployments, Ring reduced the cost …
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