Article List
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Luis Ceze — Accelerating Machine Learning Systems
From Apache TVM to OctoML, Luis gives direct insight into the world of ML hardware optimization, and where systems optimization is heading....
Matthew Davis — Bringing Genetic Insights to Everyone
Matthew explains how combining machine learning and computational biology can provide mainstream medicine with better diagnostics and insights....
Clément Delangue — The Power of the Open Source Community
Clem explains the virtuous cycles behind the creation and success of Hugging Face, and shares his thoughts on where NLP is heading....
Why Release a Large Language Model?
We believe the creation and open source release of a large language model is a net good to AI safety. We explain why....
Phil Brown — How IPUs are Advancing Machine Intelligence
Phil shares some of the approaches, like sparsity and low precision, behind the breakthrough performance of Graphcore's Intelligence Processing Units...
On the Sizes of OpenAI API Models
Using eval harness, we can deduce the sizes of OpenAI API models from their performance....
Evaluating Different Fewshot Description Prompts on GPT-3
We evaluate different fewshot prompts on GPT-3 to see how it changes performance....
Finetuning Models on Downstream Tasks
We tuned GPT-Neo on eval harness tasks to see how it would change its performance....
Activation Function Ablation
An ablation of activation functions in GPT-like autoregressive language models....
Alyssa Simpson Rochwerger — Responsible ML in the Real World
From working on COVID-19 vaccine rollout to writing a book on responsible ML, Alyssa shares her thoughts on meaningful projects and the importance of...
Sean Taylor — Business Decision Problems
Sean joins us to chat about ML models and tools at Lyft Rideshare Labs, Python vs R, time series forecasting with Prophet, and election forecasting......
Polly Fordyce — Microfluidic Platforms and Machine Learning
Polly explains how microfluidics allow bioengineering researchers to create high throughput data, and shares her experiences with biology and machine...
Adrien Gaidon — Advancing ML Research in Autonomous Vehicles
Adrien shares his approach to building teams and taking state-of-the-art research from conception to production at Toyota Research Institute....
Rotary Embeddings: A Relative Revolution
Rotary Positional Embedding (RoPE) is a new type of position encoding that unifies absolute and relative approaches. We put it to the test....
Nimrod Shabtay — Deployment and Monitoring at Nanit
A look at how Nimrod and the team at Nanit are building smart baby monitor systems, from data collection to model deployment and production monitoring...
Vladlen Koltun — The Power of Simulation and Abstraction
From legged locomotion to drones and autonomous driving, Vladlen explains how simulation and abstraction help us understand embodied intelligence....
Dominik Moritz — Building Intuitive Data Visualization Tools
Dominik shares the story and principles behind Vega and Vega-Lite, and explains how visualization and machine learning help each other....
Improved Logic Gates on Conway's Game of Life - Part 3
Abstract: This post describes improvemnets made to my prior digital logic gate constructions (e.g., AND/OR/NOT) built on top of Conway's Game of Life,...