AI Contents Archive

Interactive Language is an imitation learning framework for producing real-time, open vocabulary language-conditionable robots. Learn more and check out the newly released and largest available language-annotated robot dataset, called Language-Table → https://t.co/ZdQCeYEFJl https://t.co/5zMyoa9B57

📣 New paper from our team at Meta AI. Retrieval-Augmented CM3 (RA-CM3) is the first multimodal model that can retrieve and generate mixtures of text and images — while also reducing training cost and model size. Now available on arXiv ➡️ https://t.co/1IkTVcWae2 1/4 https://t.co/CwUF6RAJml

What Is the Difference Between SQL and Object-Relational Mapping (ORM)? #KDnuggets https://t.co/F1QOvrJTMT

RA-CM3 integrates knowledge in a more scalable & modular way compared to previous methods. It’s more resilient to long-tail or unseen knowledge which can help the growth & update of knowledge over time in real world settings. We’re excited for the possibilities it presents. 3/4 https://t.co/Ul0omvTecb

The Complete Collection of #DataScience #Books – Part 1 #KDnuggets https://t.co/PAlIEguR0H

Nothing but NumPy: Understanding & Creating #NeuralNetworks with Computational Graphs from Scratch #KDnuggets https://t.co/tMuCheD6Qr

Thanks to researchers @michiyasunaga, @ArmenAgha, @WeijiaShi2, @jure, @percyliang, @ml_perception, @LukeZettlemoyer, @scottyih and the rest of the team for all their work on this! 4/4

2023 DATAcated Trends & Predictions Report - Get your copy now! @datacated_ https://t.co/l6u9RJSNWI https://t.co/RSbcukdzBb

☑️ Using honesty as a tactic: 3X Diplomacy World Champ @thegoffy and @adamlerer speak to CICERO’s strength as a Diplomacy player through its use of honesty. 📺 Watch the full video 👉 https://t.co/Lk4R4xW0jj #CICERObyMetaAI https://t.co/axOdVVypjd

move(data), The Data Practitioner Conference - Join the data industry’s best and brightest on Dec 7 and 8 at the move(data) conference, and check out the 20+ lightning talks. Claim your ticket today! https://t.co/jfS4UpgEJD https://t.co/HjeeDNi7NJ

The RA-CM3 model significantly outperforms baseline multimodal models on both image & caption generation tasks, while using <30% of the compute of comparable models & exhibiting novel capabilities like knowledge-intensive image generation & multimodal in-context learning. 2/4 https://t.co/VxVjKFmty1

Which Metric Should I Use? Accuracy vs. AUC #KDnuggets https://t.co/KRDETmE063

The #MachineLearning Lifecycle #KDnuggets https://t.co/47IzkMYDqv

6 Goals Every Wannabe #DataScientist Should Make for 2019 #KDnuggets https://t.co/vM0W8S3erO

Interested in learning more about ML for Systems research at Google? Stop by the booth today at 10:30 am to hear @martin_maas discuss the latest in ML-driven systems! And if you want to learn more about the area, join the ML for Systems workshop on Saturday, December 3rd. https://t.co/p1Dy9zRMXE