Why it’s your job as a security team leader to ensure that lack of safety is limited to incidents and bad actors, not interpersonal dynamics. Read More
A deep dive into biases in machine learning, with a focus on historical (or social) biases. Gretel Tan · Follow Published in Towards Data Science · 10 min read · 3 days ago — Humans are biased. To anyone who has had to deal with bigoted individuals, unfair bosses, or oppressive systems — in other words, all of us — this is no surprise. We should thus welcome machine learning models which can help us
Too Long; Didn’t Read Shiba Inu (SHIB) is currently teetering at a crucial technical threshold. Solana (SOL) has faced a drastic downturn, and Furrever Token (FURR) is blending novelty with substantial financial potential. Investors are cautioned to stay alert for potential market fluctuations or “squeezes”
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Sheri Graner Ray was distressed recently when she saw that someone was selling artifacts from The Origin Museum on eBay.Read More
Customized backend; GCP Deployment; Data Versioning with GCS Integration Alison Yuhan Yao · Follow Published in Towards Data Science · 13 min read · 12 hours ago — Image by Author Table of Contents · Introduction· Overview ∘ Goal ∘ Why semiautomatic? ∘ Entering Label Studio ∘ 1 frontend + 2 backends· Implementation (Local) ∘ 1. Install git and docker & download backend code ∘ 2. Set up frontend to get access token ∘ 3.
Dive into the “Curse of Dimensionality” concept and understand the math behind all the surprising phenomena that arise in high dimensions. Maxime Wolf · Follow Published in Towards Data Science · 9 min read · 12 hours ago — Image from Dall-E In the realm of machine learning, handling high-dimensional vectors is not just common; it’s essential. This is illustrated by the architecture of popular models like Transformers. For instance, BERT uses 768-dimensional vectors to
Learn about TinyLlama, a smaller language model capable of a variety of complex tasks with a small amount of compute Eivind Kjosbakken · Follow Published in Towards Data Science · 10 min read · 12 hours ago — TinyLlama is an open-source project that trains a small language model of around 1.1B parameters. The project aims to have a language model capable of performing tasks a full LLM like Llama 2 can achieve but with