Blogs - Machine Learning


AMPLab – UC Berkeley
- Making cities safer: data collection for Vision Zero 2017-04-26A critical part of enabling cities to implement their Vision Zero policies – the goal of the current National Transportation … Continue reading →Shankari
- Data Hackathons Workshop: Early Career Funding Available 2016-09-01The West Big Data Innovation Hub (WBDIH) is excited to host a Data Hackathons: Lessons Learned and Best Practices Workshop … Continue reading →Meredith Lee
- CACM Article on Randomized Linear Algebra 2016-06-02Each month the Communications of the ACM publishes an invited “Review Article” paper chosen from across the field of Computer … Continue reading →Michael Mahoney
- Scientific Matrix Factorizations In Spark at Scale 2016-06-02The canonical example of matrix decompositions, the Principal Components Analysis (PCA), is ubiquitous, with applications in many scientific fields including neuroscience, … Continue reading →Alex Gittens
- Technical Preview of Apache Spark 2.0: Easier, Faster, and Smarter 2016-05-19This is a guest blog post originally published on the Databricks blog. For the past few months, we have … Continue reading →Reynold Xin
- AMPLab postdoc Julian Shun wins the ACM Doctoral Dissertation Award 2016-05-11I am very pleased to announce that Julian Shun has been awarded the ACM’s doctoral dissertation award for his 2015 … Continue reading →Michael Mahoney
- Unexpected continuous location tracking/energy change in android? 2016-04-15So this is really weird, but I have found what seems to be unexpected continuous location tracking that is causing … Continue reading →Shankari
- Strata Keynote: “What’s Next for the Berkeley Data Analytics Stack” 2016-04-01The Strata+Hadoop World big data industry conference was held in San Jose this week and as usual, AMPLab and Berkeley were … Continue reading →Michael Franklin
- 40-Year Goodbye: A Last Lecture and Symposium 2016-03-29Hoping to start a new tradition, I’m giving a Last Lecture on Friday May 6, 2016 at 4PM, which is … Continue reading →Patterson
- What’s new in KeystoneML 2016-03-29At the AMPLab, we are constantly looking for ways to improve the performance and user experience of large scale advanced … Continue reading →sparks
OpenAI Blog
- GPTs are GPTs: An early look at the labor market impact potential of large language models 2023-03-17
- GPT-4 2023-03-14We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.
- Introducing ChatGPT and Whisper APIs 2023-03-01Developers can now integrate ChatGPT and Whisper models into their apps and products through our API.
- Planning for AGI and beyond 2023-02-24Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity.
- How should AI systems behave, and who should decide? 2023-02-16We’re clarifying how ChatGPT’s behavior is shaped and our plans for improving that behavior, allowing more user customization, and getting more public input into our decision-making in these areas.
- Introducing ChatGPT Plus 2023-02-01We’re launching a pilot subscription plan for ChatGPT, a conversational AI that can chat with you, answer follow-up questions, and challenge incorrect assumptions.
- New AI classifier for indicating AI-written text 2023-01-31We’re launching a classifier trained to distinguish between AI-written and human-written text.
- OpenAI and Microsoft extend partnership 2023-01-23We’re happy to announce that OpenAI and Microsoft are extending our partnership.
- Forecasting potential misuses of language models for disinformation campaigns and how to reduce risk 2023-01-11OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate how large language models might be misused for disinformation purposes. The collaboration included an October 2021 workshop bringing together 30 disinformation researchers, machine learning experts, and policy analysts, and culminated in a co-authored report building on […]
- The power of continuous learning 2022-12-23Lilian Weng works on Applied AI Research at OpenAI.
- Point-E: A system for generating 3D point clouds from complex prompts 2022-12-16
- New and improved embedding model 2022-12-15We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use.
- Discovering the minutiae of backend systems 2022-12-08Christian Gibson is an engineer on the Supercomputing team at OpenAI.
- Introducing ChatGPT 2022-11-30We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
- DALL·E API now available in public beta 2022-11-03Starting today, developers can begin building apps with the DALL·E API.
- Scaling laws for reward model overoptimization 2022-10-19
- DALL·E now available without waitlist 2022-09-28New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible.
- Introducing Whisper 2022-09-21We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.
- DALL·E: Introducing outpainting 2022-08-31Extend creativity and tell a bigger story with DALL·E images of any size.
- Our approach to alignment research 2022-08-24We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.