#arXiv #NLP Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations. (arXiv:2305.08099v1 [cs.SD]) arxiv.org/abs/2305.08099

1/ 📢The future of NLP education is here! We are proud to announce the official launch of LLM University (LLMU) 🏫 🧵 txt.cohere.com/llm-university

#arXiv #NLP Watermarking Text Generated by Black-Box Language Models. (arXiv:2305.08883v1 [cs.CL]) arxiv.org/abs/2305.08883

#arXiv #NLP An assessment of measuring local levels of homelessness through proxy social media signals. (arXiv:2305.08978v1 [cs.SI]) arxiv.org/abs/2305.08978

#arXiv #NLP Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback. (arXiv:2305.08982v1 [cs.HC]) arxiv.org/abs/2305.08982

#arXiv #NLP It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. (arXiv:2305.09022v1 [cs.CL]) arxiv.org/abs/2305.09022

#arXiv #NLP Soft Prompt Decoding for Multilingual Dense Retrieval. (arXiv:2305.09025v1 [cs.IR]) arxiv.org/abs/2305.09025

#arXiv #NLP OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking. (arXiv:2305.09688v1 [eess.AS]) arxiv.org/abs/2305.09688

#arXiv #NLP Generative Table Pre-training Empowers Models for Tabular Prediction. (arXiv:2305.09696v1 [cs.LG]) arxiv.org/abs/2305.09696

#arXiv #NLP What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. (arXiv:2305.09731v1 [cs.CL]) arxiv.org/abs/2305.09731

#arXiv #NLP Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning. (arXiv:2305.09756v1 [cs.CL]) arxiv.org/abs/2305.09756

#arXiv #NLP A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot. (arXiv:2305.09758v1 [cs.CV]) arxiv.org/abs/2305.09758

1/4 Looking to equip your machine with the latest models for AI tasks? NVIDIA AI's remarkable GPU portfolio, including the GeForce RTX 4070 Ti, RTX 4080, and RTX 4090, offer unprecedented power and efficiency. 🔥🔥🔥 Discover more: pub.towardsai.net/best-gpus-for-…

Inception, a G42 company, collaborates with MBZUAI & Cerebras to unveil Jais—a 13-billion parameter generative pre-trained transformer model designed for Arabic and English language tasks. The model aims to serve a potential user base of over 400 million Arabic

Unlock the potential of operator fusion for accelerated AI inference with Quadric. Their latest article reveals a 30-200% runtime performance improvement via the 'TorchInductor' compiler backend. This and much more ↓ 📈. towardsai.net/p/artificial-i…

The Institute’s mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to the UAE’s knowledge-driven economy. See the latest from MBZUAI bit.ly/3Q26uO5 #AI #UAE

🚀 1/7 We are thrilled to launch LLM360 — pushing the frontier of open-source & transparent LLMs! Starting with Amber (7B) & CrystalCoder (7B), we are releasing brand new pre-trained LLMs with all training code, data, and up to 360 model checkpoints. 🔗 llm360.ai

MBZUAI is honored to contribute the first model to the #LLM360 open-source framework by releasing its 7B parameter English large language model (LLM) named Amber. Roberto Iriondo ♻️ Hector Liu Eric Xing Aurick Qiao Willie Neiswanger Hongyi Wang Junbo Li Fajri Koto NotNik Haonan Li

We are excited to be one of the launch collaborators in using the #LLM360 framework as it aligns with our values in making AI research and progress truly transparent. Yann LeCun Hilary Mason Andrew Ng Andrej Karpathy Fei-Fei Li Ian Goodfellow Pieter Abbeel Rachel Thomas François Chollet

1/6 🚀📚 Proud to share the definitive guide to enhancing LLM abilities and reliability: "Building LLMs for Production" by Louis-François Bouchard 🎥🤖 and Louie Peters, published by Towards AI.