When AI Speaks: Mastering the Art of Crafting Engaging AI Conversations | by Cezary Gesikowski | Towards AI
Vecteur Stock Casual business people talking - Group of characters standing and having a conversation and discussing. Flat design vector illustration with white background | Adobe Stock
Catch Up Meetings: Best Template and Practices to Use
Introspective Conversational AI: Virtual agents that notice their mistakes
convERSations: Sophia Oldeide - ERS electronic GmbH
7+ Funny Georgian Phrases: Casual Conversations | by Ling Learn Languages | Medium
The Long Beach Bar Association Probate Section
Making Our Voices Heard Podcast Series - Women with Disabilities Victoria
What separates rigorous research from customer conversations? | by Christopher Nash | UX Planet
Podcast: Frank Biermann, Professor of Global Sustainability Governance at Utrecht University and Founder of the Earth System Governance Project - The Planetary Press
CCv2 Dataset | Papers With Code
Introducing Casual Conversations v2: A More Inclusive Dataset To measure Fairness - Liwaiwai
Maira Kalman In Conversation with Bob Morris - Museum of Fine Arts, St Petersburg | Museum of Fine Arts, St. Petersburg
How to Scale Chat Experiences Without Sounding Like a Robot (Even When You're Using One) | Drift
Seize The Awkward's Bueno Pues...Hablemos | The Jed Foundation
PDF] Fairness Indicators for Systematic Assessments of Visual Feature Extractors | Semantic Scholar
Meta Open Sources Casual Conversations v2
Meta releases Casual Conversations v2 - IT World Canada
Meta publie la base de données inclusive Casual Conversations v2 en open source
Listen + Learn: Regional Initiatives in Pittsburgh | National Center for Women & Information Technology
Last Week in AI #210: Open Source ChatGPT, Meta's LLM leaks online, new funding round for Skydio
The Art of Small Talk: Learn how to master conversations, approach strangers and be confident in casual conversational skills a book by Maxwell Nelson
PDF) Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness