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 .
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 .
Feature engineering is where most of the real work in machine learning happens.
Feature engineering is where most of the real work in machine learning happens.
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 …
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 …
Read more “How Ring scales global customer support with Amazon Bedrock Knowledge Bases”
The Fire TV Stick 4K Max is great for the Prime Video devout and handles other streaming services just as well.
Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built differently? A multi-institutional team including Chongjie Zhang, an associate professor of computer science and engineering at WashU McKelvey Engineering, …
Read more “Robots with different bodies can now share skills: What intention-based learning changes”
I’ve been seeing this TikTok account a lot where they make mini vlogs as if they lived in the Harry Potter universe, and it actually looks pretty good. Of course, the textures have that very clean look, so you can tell it’s AI, but for this kind of content it doesn’t really matter since it’s …
No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these …
Read more “AI benchmark helps robots plan and complete their chores in the real world”