Agentic development is already here, and it's got some demands for databases:
• Instant branching at zero cost
• True scale-to-zero (half of agent DBs live < 10 seconds)
• Open Postgres, not proprietary lock-in
#AgenticAI#Databricks#Lakebase https://t.co/KZ5IhgnCJf
@JeffDean says it best, the problem in this new agentic era is "tools designed for human speed interaction". That's why we think agents love 𝗟𝗮𝗸𝗲𝗯𝗮𝘀𝗲 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝘀, it can branch, snapshot, scale up and down in a second, orders of magnitude faster than other databases.
https://t.co/s32LICSEXc
Read about this architectural shift from Database to Lakebase:
https://t.co/hL19TVTIaH
@gigsandtours@coldplay@NHM_London You should have a queueing system in place not a random draw where basically time of arrival in the queue is irrelevant. The current one is a like a raffle, where you go back to the end of the queue on each refresh.
Amazing!! Deep Learning-based NLP techniques are going to revolutionize the way we write software. Here's Deep TabNine, a GPT-2 model trained on around 2 million files from GitHub. Details at https://t.co/8J2v8Ns7n4 #nlproc
Explanation algorithms for neural network predictions are like yogurts in a supermarket. Choice overload.
LRP
LIME
Integrated Gradients
deconvnet
Occlusion
DeepShap
DeepLift
Deep Taylor Decomposition
Gradient* Input
Grad-CAM
Guided Backpropagation
Saliency Map
...
Scikit-learn 0.21 is out! Including the new HistGradientBoostingClassifier/Regressor by @hug_nicolas that implements lightgbm and should match or improve over xgboost performance. Full changelog here: https://t.co/YZfvGg4XQt Also, there's now an option for a nicer __repr__!
“We've written this book to cover the theory we expect to be useful in the next 40 years, just as an understanding of automata theory, algorithms & related topics gave students an advantage in the last 40 years.”
Download “Foundations of Data Science” now https://t.co/dSlmNYajDw
Introducing Keras Tuner: hypertuning for humans - Slides: https://t.co/6vbyNtTti7 Early Access program: https://t.co/KUb3iTSiMk #io19@TensorFlow@fchollet
After many years in the making, we're open-sourcing Facebook's Adaptive Experimentation platform, Ax, and BoTorch, a library for Bayesian optimization research, built on PyTorch. https://t.co/1wpFnlqmPg