Sign in Subscribe

Topic

Artificial Intelligence

A collection of 57 issues

New Industrial Age

Where we are going in Generative AI will fundamentally change how knowledge work will be done, full stop. So we must ask ourselves, what is the future of knowledge work and knowledge workers? Customer services and marketing have already been disrupted. Research, innovation service, creative writing, paralegal, early career roles

Joyce’s picks: readings in ML/AI, October 30, 2023

“Sweeping new Biden order aims to alter the AI landscape” (Politico) “G7 to agree AI code of conduct for companies” (Reuters) “How AI can help to save endangered species” (Nature) “A More Reliable Wikipedia Could Come from AI Research Assistants” (Scientific American) “Take a Step Back: Evoking Reasoning via Abstraction

Evaluating Gen AI Applications - Part I

When I worked in mergers & acquisitions way back, one of the things to do was generating project code names to help preserve the confidentiality of these highly sensitive projects. I remember that we have gone through all kinds of names, drawing inspiration from mountains, park names, bird names, car

Why is classification in machine learning a foundational task to master?

While we have moved leaps and bounds in AI on many fronts in the last two years, building a classifier can still be a challenging (and interesting) machine learning task. For those who are not familiar with the classification problem in machine learning, here is a simple explanation. We want

Joyce's picks: readings in ML/AI , October 12, 2023

“Nougat: Neural Optical Understanding for Academic Documents” (link) “Monitor your NVIDIA GPUs on Compute Engine with Ops Agent” (link) “A Comprehensive Review on Financial Explainable AI” (link) “Artificial intelligence technology behind ChatGPT was built in Iowa — with a lot of water” (link) “New A.I. Tool Diagnoses Brain Tumors on

Joyce’s picks: readings in ML/AI , September 12, 2023

“TSMixer: An all-MLP architecture for time series forecasting” (Google) “Attention Is All You Need” (a major classic!) “Language to rewards for robotic skill synthesis” (Google) “Consistent Collaborative Filtering via Tensor Decomposition Authors” (Apple) “Speeding Up Text-To-Speech Diffusion Models by Distillation” (Nvidia) “To Copy Rather Than Memorize: A Vertical Learning Paradigm

Joyce’s picks: readings in ML/AI , August 18, 2023

Spotify launched Confidence — an experimentation platform: blog and sign up for private beta. (link) “AI chatbot K Health picks up $59M in fresh funding, inks partnership with Cedars-Sinai” (link) “A New Frontier for Travel Scammers: A.I.-Generated Guidebooks” (NYT) “The case for and against open-source large language models for

Joyce’s picks: readings in ML/AI, July 28, 2023

“Aided by A.I. Language Models, Google’s Robots Are Getting Smart” (NYTimes) “AI search of Neanderthal proteins resurrects ‘extinct’ antibiotics” (Nature) “SK Hynix and Samsung’s early bet on AI memory chips pays off” (FT) “KNN-Diffusion: Image Generation via Large-Scale Retrieval” (Link) “Consistency Models” (Link) “SelfCheckGPT: Zero-Resource Black-Box Hallucination

Generative AI x Knowledge Graphs

Data wrangling tasks include data acquisition, data ingestion, data extraction, data cleaning, data transformation, exploratory data analysis, and data pipelining for ML tasks. Data variety, dimensionality, complexity, duplication, provenance can further complicate this data wrangling process.

Joyce's picks - readings in machine learning /AI - July 21, 2023

Meta LLaMA — original blog (link) Meta and Microsoft Introduce the Next Generation of Llama (link) Most outsourced coders in India will be gone in 2 years due to A.I., Stability AI boss predicts (CNBC) One senator’s big idea for AI (Politico) Unstructured, which offers tools to prep enterprise