TechCrunch

From LLMs to hallucinations, here’s a simple guide to common AI terms

Artificial intelligence is a deep and convoluted world. The scientists who work in this field often rely on jargon and lingo to explain what they’re working on. As a result, we frequently have to use ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
TechCrunch

OK, what’s going on with LinkedIn’s algo?

One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...
UPI

Ball python found trespassing at fire academy in Washington, D.C.

Sept. 23 (UPI) --A ball python found its way into the D.C. Fire and EMS Department's training academy and was safely apprehended by emergency personnel. The department said on social media that the ...
Wired

OpenAI Ramps Up Robotics Work in Race Toward AGI

The company behind ChatGPT is putting together a team capable of developing algorithms to control robots and appears to be hiring roboticists who work specifically on humanoids. The company has ...
GitHub

Towards a Unified View of Large Language Model Post-Training

Two major sources of training data exist for post-training modern language models: on-policy (model-generated rollouts) data and off-policy (human or other-model demonstrations) data. In this paper, ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
IEEE

Differential Privacy Work Set Selection Method Based on Exponential Mechanism for Linear Support Vector Machines

Abstract: In the era of big data, data privacy protection is of utmost importance. When Support Vector Machines (SVM) process sensitive data, there is a risk of ...
Ars Technica

How a big shift in training LLMs led to a capability explosion

In April 2023, a few weeks after the launch of GPT-4, the Internet went wild for two new software projects with the audacious names BabyAGI and AutoGPT. “Over the past week, developers around the ...