El problema es que lo que esa figura presenta, y donde se equivocan ellos, no es el proceso de difusión de una única imagen (la del espiral) que se destruye y se recupera en una copia casi exacta. Sino la DISTRIBUCIÓN DE LOS DATOS
DATA
-
Improving Chatbot UX: Follow-ups, Prompt Engineering, Data Prep
By
–
1. We make it an actual chatbot, where you can ask followup questions (important UX decision!) 2. @chillzaza_ has a lot of insights on prompt engineering (citing sources, writing markdown, speed) 3. Some notes on importance of data preparation
-
AI-powered distracted driving monitor tracks behaviors for insurers
By
–
AI-powered Distracted Driving Monitor
— AI Breakfast (@AiBreakfast) 17 janvier 2023
Tracks arm placement, eye movement, gaze direction, head turns, and cell phone + seatbelt detection.
Coming to an insurance company near you… pic.twitter.com/ehn2Y4fkQSAI-powered Distracted Driving Monitor Tracks arm placement, eye movement, gaze direction, head turns, and cell phone + seatbelt detection. Coming to an insurance company near you…
-
Artists Sue Stability AI and Midjourney for Unauthorized Image Use
By
–
Timely Anton Teaches Packy AI Yesterday, artists filed a class action lawsuit against Stability AI and Midjourney for using images scraped from the internet. Anton teaches me where those images come from, how models use data, and why attribution is key.
-
GitHub sketch pandas extension implementation details
By
–
yeah thats exactly what its doing https://
github.com/approximatelab
s/sketch/blob/main/sketch/pandas_extension.py#L184-L202
… -
AI-Assisted Data Science: Enhancing Productivity in Notebooks
By
–
AI-assisted data science 🤯
— swyx 🐣 (@swyx) 16 janvier 2023
Stay in notebook without breaking flow, retaining full control over the output.
More productive than either human or AI would be alone.
Developers are first to benefit because we can build these things for ourselves before we build for others pic.twitter.com/7cZGa1sCd9AI-assisted data science Stay in notebook without breaking flow, retaining full control over the output. More productive than either human or AI would be alone. Developers are first to benefit because we can build these things for ourselves before we build for others
-
Real-Time Feature Stores Transform Machine Learning Model Performance
By
–
Just discovered the power of a real-time feature store for Machine Learning No more stale data, instant feature updates, and improved model performance. It's a game-changer for data science teams! Learn more
-
Information Advantage Podcast: AI, Security and Data Insights
By
–
New #podcast Ep @techradiottt Join @OpenText EVP & Chief Product Officer @MuhiSMajzoub & I All Things #Information Advantage! http://
bit.ly/InfoAdvantage @Webroot #SDGs @ahier @dinisguarda #Security #data @moingshaikh @NolwennGer #AI @mikeflache #lowcode #CX @DeepLearn007 -
Self-regulation fails; ethical data sourcing businesses will emerge
By
–
Self-regulation doesn't work in other industries and it won't here either. I expect new businesses will appear to provide such ethically-sourced data.
-
Why ethical action but not legal compliance for AI models?
By
–
I'm also curious why they took action on ethical basis, yet don't take action on legal bases. There are models overfitted on Copyrighted data, there are datasets with personally-identifying information, etc. Why not start with just following the law first?