Aya project by Cohere for AI🤩, Do Foundation Model Providers Comply with the EU AI Act🇪🇺, GAIA-1 generative AI model for self driving cars🚘, Voicebox by Meta 🔈 and Why AI Will Save the World🪐
AI Connections #25 - a weekly newsletter about interesting blog posts, articles, videos, and podcast episodes about AI.
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TOP READS 📚
“Introducing Aya: An Open Science Initiative to Accelerate Multilingual AI Progress” blog post by Cohere for AI: READ
“Why AI Will Save the World” blog post by Marc Andreessen: READ
“Do Foundation Model Providers Comply with the EU AI Act?” blog post by Stanford: READ
“Prompt Engineering 201: Advanced prompt engineering and toolkits” blog post by Xavier Amatriain: READ
“Introducing GAIA-1: A Cutting-Edge Generative AI Model for Autonomy” blog post by Wayve: READ
“Introducing Voicebox: The first generative AI model for speech to generalize across tasks with state-of-the-art performance” blog post by Meta: READ
“What Happens When A.I. Enters the Concert Hall” article by New York Times: READ
“The AI Founder Taking Credit For Stable Diffusion’s Success Has A History Of Exaggeration” article by Forbes: READ
“Existing Policy Proposals Targeting Present and Future Harms” blog post by The Center for AI Safety: READ
READ (BLOGS & ARTICLES) 📚📖
“Understanding Encoder And Decoder LLMs” blog post by Sebastian Raschka: READ
“The Secret Sauce behind 100K context window in LLMs: all tricks in one place” blog post by Galina Alperovich: READ
“AI hypocrisy: OpenAI, Google and Anthropic won't let their data be used to train other AI models, but they use everyone else's content” article by Insider: READ
“Language Model Sketchbook, or Why I Hate Chatbots” blog post by Maggie Appleton: READ
“New AI advancements drive Meta’s ads system performance and efficiency” blog post by Meta: READ
“Can foundation models label data like humans?” blog post by Hugging Face: READ
“How Generative AI and LLMs Unlock Greater Workforce Productivity” blog post by Cohere: READ
“Introduction to Towards Causal Foundations of Safe AGI” blog post by AI Alignment Forum: READ
“When Doctors Use a Chatbot to Improve Their Bedside Manner” article by New York Times: READ
“The Most Important Machine That Was Never Built” article by Quanta Magazine: READ
READ (RESEARCH PAPERS) 📚
“Mind2Web: Towards a Generalist Agent for the Web” research paper by The Ohio State University: READ
“TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement” research paper by Google DeepMind: READ
“Faith and Fate: Limits of Transformers on Compositionality” research paper by Allen Institute for Artificial Intelligence: READ
“Benchmarking Neural Network Training Algorithms” research paper by Google: READ
“FinGPT: Open-Source Financial Large Language Models” research paper by Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang: READ
“LIMA: Less Is More for Alignment” research paper by Meta AI: READ
“Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models” research paper by MIT: READ
WATCH🎥
LEARN 📚
“LangChain tutorial #1: Build an LLM-powered app in 18 lines of code” tutorial by Streamlit: LEARN
“Large Language Models: Application through Production” course by DataBricks: LEARN
AI TOOLS 🔧
“MusicGen” model by Meta: TRY
“QR code AI art generator” model by Hugging Face: TRY