
Forward Deployment Engineer @basetenco Opinions are my own. Previously @pachyderminc Published @SpringerCompSci Computer Science @UniofOxford @FromCBU
Washington, DC
Joined August 2009
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Jimmy Whitaker retweeted
Why?
Because the web is a mess. And websites are fundamentally built for human consumption.
If you want to automate everything that a human can do with a browser, then you have to perceive like a human.
Stay tuned for more in the coming weeks!
Wonderfully written by @0xjasper in collaboration with the Yutori team.
yutori.com/blog/the-bitter-l…
Jimmy Whitaker retweeted
Today, we’re excited to announce our $150M Series D, led by BOND, with Jay Simons joining our Board. We’re also thrilled to welcome Conviction and CapitalG to the round, alongside support from 01 Advisors, IVP, Spark Capital, Greylock Partners, Scribble Ventures, and Premji Invest.
The last eighteen months have been a whirlwind; as the AI application layer has taken off, we've been proud to play a small part supporting world class companies run their production workloads. Thanks to all our customers including Abridge, Bland, Clay, Gamma, Mirage, OpenEvidence, Sourcegraph, WRITER, and Zed Industries.
We’re just getting started. If you’re building the next generation of AI products, we’d love to work with you.
Jimmy Whitaker retweeted
i wrote #beginner level book teaching #deeplearning
its goal is to be the easiest intro possible
each lesson builds a neural component *from scratch* in #NumPy
each *from scratch* toy code example is in the #Github below #100DaysOfMLCode
github.com/iamtrask/Grokking…
Jimmy Whitaker retweeted
OpenAI launched GPT-4 Turbo today. It’s incredible:
- 128k token context window. 300 pages of a book 🚀
- More control. GPT-4 will respond with valid JSON, and can call multiple functions
- Better knowledge. THE API NOW COMES WITH RETRIEVAL built in. And knowledge cutoff is now April 2023.
- Multi-modal: DALLE, text to speech, and vision are in the API.
Jimmy Whitaker retweeted
No More GIL!
the Python team has officially accepted the proposal.
Congrats @colesbury on his multi-year brilliant effort to remove the GIL, and a heartfelt thanks to the Python Steering Council and Core team for a thoughtful plan to make this a reality.
discuss.python.org/t/a-steer…
Jimmy Whitaker retweeted
Walmart used an LLM (PaLM-2) generated embeddings for their DLRM to make product search better on walmart.com
They are about to push this out into their live website because the results were so good.
Noteworthy other firms have already done this such as Google
Jimmy Whitaker retweeted
In one week: Join us for our May Open Office Hours!
@JimmyMWhitaker, Chief Scientist at HPE and Pachyderm, will be there!
sign up here: hopin.com/events/determined-…
Jimmy Whitaker retweeted
#RLHF is essential to ensure #LLMs are safe and accurate, but you may have wondered how to incorporate it into your workflow.
@JimmyMWhitaker is here to help with practical advice on How to Create a High-Quality RLHF Dataset with Label Studio!
labelstud.io/blog/create-a-h…
Jimmy Whitaker retweeted
They built ChatGPT into the Carrot weather app and it’s easily the snarkiest, sassiest AI chatbot around 😭
Jimmy Whitaker retweeted
Notion AI — "your ultra-capable teammate" — is now publicly available. High-quality implementation of OpenAI for every aspect of creating & editing a document.
Jimmy Whitaker retweeted
We are happy to announce the next phase of our partnership with Microsoft: openai.com/blog/openai-and-m…
Jimmy Whitaker retweeted
From @FortuneMagazine / @jeremyakahn
Jimmy Whitaker retweeted
Education should adopt to the fact that ChatGPT and other powerful AI tools exist and will continue to improve.
WashU seems to be giving the right guidance to their faculty, kudos to them!
Jimmy Whitaker retweeted
I don't think this policy by @icmlconf will age well.
Its not clear to me what the reservations are -- they can ban "AI as a co-author", but not allowing it as a tool is a bit of an overreach without obviously stated harms.
Jimmy Whitaker retweeted
Potentially nitpicky but competitive advantage in AI goes not so much to those with data but those with a data engine: iterated data aquisition, re-training, evaluation, deployment, telemetry. And whoever can spin it fastest. Slide from Tesla to ~illustrate but concept is general






































