FastAPI Docker Deployment: Preparing ONNX AI Models for AWS Lambda
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Cold Specks – Winter Solstice [doom soul] (2012) (FWIW, Cold Specks is a Somali-Canadian)
submitted by /u/DMBFFF [link] [comments]
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Runway releases its first world model, adds native audio to latest video model
Runway debuts a physics-aware world model that simulates reality to train agents and power video, robotics and avatar applications.
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It’s Time to Take Back CTRL
Technology is supercharging the attack on democracy by making it easier to spy on people, block free speech, and control what we do. The Electronic Frontier Foundation’s activists, lawyers, and technologists are fighting back. Join the movement to Take Back CTRL. DONATE TODAY Join EFF and Fight Back Take Back CTRL is EFF’s new website to give you insight into the ways that technology has become the veins and arteries of rising global authoritarianism. It’s not just because […]
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How LLMs Choose Their Words: A Practical Walk-Through of Logits, Softmax and Sampling
This article is divided into four parts; they are: • How Logits Become Probabilities • Temperature • Top- k Sampling • Top- p Sampling When you ask an LLM a question, it outputs a vector of logits.
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AI helps chemists develop tougher plastics
A new strategy for strengthening polymer materials could lead to more durable plastics and cut down on plastic waste, according to researchers at MIT and Duke University. Using machine learning, the researchers identified crosslinker molecules that can be added to polymer materials, allowing them to withstand more force before tearing. These crosslinkers belong to a class of molecules known as mechanophores, which change their shape or other properties in response to mechanical force. “These molecules can be useful […]
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Watermarking and Forensics for AI Models, Data, and Deep Neural Networks
In my previous paper posted here, I explained how I built a new class of non-standard deep neural networks, with various case studies based on synthetic data and open-source code, covering problems such as noise filtering, high-dimensional curve fitting, and predictive analytics. One of the models featured a promising universal function able to represent any type of smooth response, while leading to fast convergence. Here I explore weight sensitivity and distillation. The words weight and parameter are used […]
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Lessons from a Record-Setting NFL Kicker on Performing Under Pressure
Tune out external criticism, focus on process over outcomes, and embrace reflection and routine.
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Understanding XGBoost: A Deep Dive into the Algorithm
Author(s): Utkarsh Mittal Originally published on Towards AI. Introduction XGBoost (Extreme Gradient Boosting) has become the go-to algorithm for winning machine learning competitions and solving real-world prediction problems. But what makes it so powerful? In this comprehensive tutorial, we’ll unpack the mathematical foundations and practical mechanisms that make XGBoost superior to traditional gradient boosting methods. This tutorial assumes you have basic knowledge of decision trees and machine learning concepts. We’ll walk through the algorithm step-by-step with visual examples […]
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MIT researchers propose a new model for legible, modular software
Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code that’s messy, hard to change safely, and often opaque about what’s really happening under the hood. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are charting a more “modular” path ahead. Their new approach breaks systems into “concepts,” separate pieces of a system, each designed to do one job well, and “synchronizations,” explicit rules that describe exactly […]
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