MLOps is a mess but that's to be expected
I discuss the messy state of MLOps today and how we are still in the early phases of a broader transformation to bring machine learning value to enterprises globally.
I discuss the messy state of MLOps today and how we are still in the early phases of a broader transformation to bring machine learning value to enterprises globally.
Machine Learning with PyTorch and Scikit-Learn has been a long time in the making, and I am excited to finally get to talk about the release of my new book…
Python-based calculations, especially those that use NumPy, can run much faster by using the Numba library.
I recently came up with what I think is an intuitive way to explain Bayes’ Theorem. I searched in google for a while and could not find any article that explains it in this particular way.
Occasionally, I share research papers proposing new deep learning approaches for tabular data on social media, which is typically an excellent discussion…
My chat with Cristóbal Valenzuela, Cofounder & CEO of Runway .
How deep learning models are moderated
Peng-Jen Chen is well aware of how language barriers can affect people’s ability to communicate. Chen grew up in Taiwan speaking Mandarin Chinese, but his father, Sheng-Jiang Chen, a 70-year-old retired factory lead technician, hails from Southern Taiwan, where Taiwanese Hokkien is widely spoken. Though the two…
Given a brief description of a scene, Imagen can generate photorealistic, high-resolution images of the scene. Learn everything you need to know about Imagen and how it works in this easy-to-follow guide.
Will ML code generation like GitHub Copilot replace coding by hand? We say no: developers still maintain generated code, so abstraction matters.
Full stack software engineer / entrepreneur specialized in AI agents, cybersecurity and graphics. In my free time I enjoy surfing, free diving, and contributing to open source software.
A while ago there was an interesting thread on the Julia Discourse about the “state of machine learning in Julia”. I posted a response discussing the differences between Julia and Python (both JAX and PyTorch), and it seemed to be really well received! Since then this topic seems to keep coming up, so I thought I’d…
When I first read Google’s RETRO paper, I was skeptical. Sure, RETRO models are 25x smaller than the competition, supposedly leading to HUGE savings in training and inference costs. But what about the new trillion token “retrieval database” they added to the architcture? Surely that must add back some computational…
As AI creative tools are becoming widespread, the question of copyright of AI creations has also taken centre-stage. But while copyright nerds obsess over the authorship question, the issue that is…
Learn how alien intelligence connects to human intelligence through science and technology using the Principle of Computational Equivalence, the ruliad, rulial space, tiny spacecraft and the Wolfram Language.
In industry-standard tests of AI inference, NVIDIA H100 GPUs set world records, A100 GPUs showed leadership in mainstream performance and Jetson AGX Orin led in edge computing.
Where do human artists fit in a world of rich, creative AI? We asked 100 Surgers to draw the DALL-E prompts.
YOLOv6: review and comparison of the next generation object detection.
The Kalman Filter. Helping Chickens Cross the Road. David Austin Grand Valley State University I was running some errands recently when I spied the Chicken Robot ambling down the sidewalk, then vee…
Shape From Silhouette Reconstruction from a short cell phone video, showing reconstructed masks.
The first Times crossword Having seen several mind-blowing articles about ChatGPT’s ability (most notably this one), I wondered how ChatGPT would fare solving a cryptic crossword. I decided to try with an easy one: a Quick Cryptic from The Times. I had a search through the Times for the Times archives to try and find…
This technology is already changing the creative industry. Here's how it works.
Large neural networks are at the core of many recent advances in AI, but training them is a difficult engineering and research challenge which requires orchestrating a cluster of GPUs to perform a single synchronized calculation.
…and it will look a lot like AGI. LLMs can become extremely powerful by leveraging external cognitive assets and choosing actions.
Sending an MP3 typically requires 128 kb/s of bandwidth. We can compress HiFi audio down to 12 kb/s, without sacrificing the quality.