Speeding Up Builds with Dagger Reflect
Optimizing build times in Android apps by utilizing Dagger Reflect
Five things I learned about working on content quality at Instagram
The blogpost discusses five key learnings from working on content quality at Instagram, including the challenges of measuring quality, the importance of read-path models and sourcing-level filters, the need to track model performance, and the use of calibration and percentile frameworks.
Scaling laws for neural language models
Exploring the scalability of neural language models through scaling laws
The Power of Types for Errors
Exploring the benefits of using types to minimize the usage of primitives in code
Using Python and OCaml in the same Jupyter notebook
A guide on how to use Python and OCaml together in a Jupyter notebook
Dota 2 with large scale deep reinforcement learning
Exploring the application of large scale deep reinforcement learning in Dota 2
Instagram Data Saver Mode
The blogpost discusses the new Data Saver Mode feature on Instagram for Android that reduces mobile data consumption.
Deep-Learning the Hardest Go Problem in the World
Updates and a New Run
Deep double descent
Exploring the phenomenon of deep double descent in machine learning
Procgen Benchmark
Analyzing performance metrics of procedural generation algorithms in a benchmark study.
Powered by AI: Instagram’s Explore recommender system
The blogpost explores Instagram's Explore recommender system which is powered by AI.
Safety Gym
Utilizing cutting-edge technology to enhance workplace safety through virtual 'Safety Gym'