Google Deepmind’s New Benchmark Evaluates Factuality of LLMs

via Analytics India Magazine (author: Sanjana Gupta)

Is It Too Soon to Talk About AGI and Regulation?

via Analytics India Magazine (author: Mohit Pandey)

Top 10 Videos of 2024 by AIM – Editors’ Pick

via Analytics India Magazine (author: AIM Media House)

The Essential Guide to R and Python Libraries for Data Visualization

Let’s dive into the most important libraries in R and Python to visualise data and create different charts, and what the pros and cons are

Continue reading on Towards Data Science »

via Towards Data Science - Medium (author: Sarah Lea)

DeepMind unveils Veo 2 model: a new era of video generation?

via AI Accelerator Institute (author: AIAI)

Meta har lanserat Movie Gen en AI-driven videogenerator

Meta har nyligen meddelat lanseringen av Movie Gen, en AI-baserad videogenerator som kan förändra skapandet av videoinnehåll. Denna nya teknologi möjliggör skapandet av högupplösta videor och ljud baserat på enkla textkommandon, vilket gör det möjligt för användare att generera originalinnehåll eller redigera befintliga videor och bilder. Movie Gen erbjuder flera avancerade funktioner: Videogenerering: Användare kan skapa […]

The post Meta har lanserat Movie Gen en AI-driven videogenerator first appeared on AI nyheter.

via AI nyheter (author: Handreno)

Shaip – Your Trusted AI Training Data Platform

https://www.youtube.com/watch?v=ZoEHPUYV5U0 Efficient AI development relies on high-quality training data, with Shaip providing diverse data collection and annotation solutions globally. Highlights: ? Global Reach: Shaip collaborates with over 7,000 contributors across 100+ countries. ? Quality Matters: The accuracy of AI models is primarily influenced by the quality of training data. ?️ Data Annotation: Skilled labor is […]

via Shaip (author: Shaip-admin)

Decoding Speech: How Audio Labeling Empowers AI Understanding

https://www.youtube.com/watch?v=sAHa6KHkv4o Explore how we turn spoken words into text for AI. This video dives into how we label sounds in audio clips, making it easier for AI to understand things like speech, language, and even emotions in conversations. It’s the key to making machines understand what we’re saying.

via Shaip (author: Shaip-admin)