Spotify AI DJ, AI Sweden new GPT model, Notion AI is avalable for everyone, OpenAI Alliance with Bain and Coca Cola, Hugging Face and AWS partnership and chess game with ChatGPT 🗽📡🏜🧛♂️
AI Connections #14 - a weekly newsletter about interesting blog posts, articles, videos, and podcast episodes about AI.
READ (BLOGS & ARTICLES) 📚📖
“How should AI systems behave, and who should decide?” blog post by OpenAI: READ
“Spotify Debuts a New AI DJ, Right in Your Pocket” blog post by Spotify: READ
“GPT-SW3 Pre-release” blog post by AI Sweden: READ
“Notion AI is here, for everyone” blog post by Notion: READ
“What's the big deal with Generative AI? Is it the future or the present?” blog post by Cohere: READ
“OpenAI Alliance with Bain” blog post by Bain: READ
“Meaningful metrics: How data sharpened the focus of product teams” blog post by Duolingo: READ
“FriendlyCore: A novel differentially private aggregation framework” blog post by Google: READ
“How Do We Fix and Update Large Language Models?” blog post by Stanford University: READ
“Introducing Cohere Summarize Beta: A New Endpoint for Text Summarization” blog post by Cohere: READ
“New Report Details Costs and Structure of a National AI Research Resource” blog post by Stanford University: READ
“Law, Policy, & AI Update: China Requires AI Watermarks, ChatGPT Won’t Make it to U.S. Courtrooms” blog post by Stanford University: READ
“Exclusive: Microsoft's Bing plans AI ads in early pitch to advertisers” article by Reuters: READ
“Machine learning needs better tools” blog post by Replicate: READ
“Hugging Face and AWS partner to make AI more accessible” blog post by Hugging Face: READ
“How to Personalize Stable Diffusion for ALL the Things” blog post by Jina AI: READ
“GPT-3 quality for <$500k” blog post by Mosaic LLM: READ
“Using ChatGPT to build a Kedro ML pipeline” blog post by Streamlit: READ
“Microsoft to demo its new ChatGPT-like AI in Word, PowerPoint, and Outlook soon” article by The Verge: READ
“Document AI | Inference APP and fine-tuning notebook for Document Understanding at paragraph level” blog post by Pierre Guillou: READ
“The AI Arms Race Is Changing Everything” article by Times: READ
“Fine-tune FLAN-T5 XL/XXL using DeepSpeed & Hugging Face Transformers” blog post by Phil Schmid: READ
“Chatbots Got Big—and Their Ethical Red Flags Got Bigger” article by Wired: READ
“How will ChatGPT change the way we think and work? Stanford scholar examines” blog post by Stanford University: READ
“Co:lab Fridays Community Demos — January 23 Recap” blog post by Cohere: READ
“Generative AI with Cohere: Part 4 - Creating Custom Models” blog post by Cohere: READ
“FRMT: A benchmark for few-shot region-aware machine translation” blog post by Google: READ
“Microsoft boosts Viva Sales with new GPT seller experience” blog post by Microsoft: READ
“GPT in 60 Lines of NumPy” blog post by Jay Mody: READ
“To understand language models, we must separate “language” from “thought”” blog post by TechTalk: READ
“AI: Science Fiction vs Reality” blog post by Cassie Kozyrkov: READ
“From Causal Trees to Forests” blog post by Matteo Courthoud: READ
“Emergent Deception and Emergent Optimization” blog post by Bounded Regret: READ
“Will Congress miss its chance to regulate generative AI early?” article by Fast Company: READ
“How OpenAI is trying to make ChatGPT safer and less biased” article by MIT: READ
“The Political Economy of AI” blog post by Merantix: READ
READ (RESEARCH PAPERS) 📚📖
“Augmented Language Models: a Survey” research paper by Meta AI & Universitat Pompeu Fabra: READ
“KDEformer: Accelerating Transformers via Kernel Density Estimation” research paper by Amir Zandieh, Insu Han, Majid Daliri, Amin Karbasi: READ
“LEVER: Learning to Verify Language-to-Code Generation with Execution” research paper by Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin: READ
“Pretraining Language Models with Human Preferences” research paper by Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez: READ
“A Personal Journey into Bayesian Networks” research paper by Judea Pearl: READ
“Multimodal Chain-of-Thought Reasoning in Language Models” research paper by Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola: READ
“A Survey on Efficient Training of Transformers” research paper by Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen: READ
“Scaling Robot Learning with Semantically Imagined Experience” research paper by Google: READ
WATCH🎥
LEARN 📓
“Databases” course by CMU Database Group: LEARN
“LMOps” guide by Microsoft: LEARN
TRY 🔧
“Webhooks” model by Hugging Face: TRY
“ChatGPT” model by Colossal-AI: TRY
“Model parallelism 101” notebook by Emmanuel Ameisen: TRY
“Finetuning Whisper-large-V2 on Colab using PEFT-Lora + BNB INT8 training” notebook by Hugging Face: TRY
“Scribble Diffusion” demo by Replicate: TRY
“BLOOMZ” model by Hugging Face: TRY
“Petals” model by Big Science: TRY