@SuperDuperDB eliminates complex MLOps pipelines, specialized vector databases – and the need to migrate and duplicate data by integrating AI at the data’s source, directly on top of your existing data infrastructure. This simplifies building and managing AI applications.
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SuperDuperDB: Open-Source Framework for AI-Powered Database Applications
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Bringing AI into your Databases!
— Sumanth (@Sumanth_077) 23 mars 2024
Introducing SuperDuperDB an open-source framework for building AI Applications right in your databases. pic.twitter.com/MOE2cQsG0RBringing AI into your Databases! Introducing SuperDuperDB an open-source framework for building AI Applications right in your databases.
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Python for Quantitative Finance and Algorithmic Trading Masterclass
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#Python for Quant #Finance and #AlgorithmicTrading — from @pyquantnews https://
pythonforquantfinancemasterclass.com -

Evolutionary Optimization of Model Merging Recipes
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A nice deep-dive video about our recent paper, “Evolutionary Optimization of Model Merging Recipes” by @johnowhitaker
. He gives a great overview on model merging before discussing evolution and our results. Video→ https://
youtu.be/BihyfzOidDI
Paper→ https://
arxiv.org/abs/2403.13187 -

Python Crash Course Bestselling Programming Book Achieves 1.5 Million Sales
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"#Python Crash Course" is the world’s bestselling programming book, with over 1,500,000 copies sold to date! http://
amzn.to/42iMGvp by @ehmatthes —————
#Coding #DataScientists #DataScience #ComputationalScience #MachineLearning -

Best Machine Learning Python Books by Knowledge Level
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Get one of these #ML with #Python books, depending on your current level of knowledge: 1000 5-star ratings>> “Machine Learning For Absolute Beginners” https://
amzn.to/31wg9ni 2700 5-star ratings>> "Hands-On #MachineLearning with Scikit-Learn, #Keras, and #TensorFlow: -

PyAutoGen Framework Leaders Discuss Multiagent Agent Design Patterns
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I’ve been a fan of
@pyautogen
as a multiagent programming framework for awhile. It was great hosting two of its leaders
@Chi_Wang_
and
@qingyun_wu
to discuss agent design patterns! -
Large Models Improve Smaller Model Performance via Prompt Engineering
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Rohit just merged this to the `gpt-prompt-engineer` repo. Now, you can use any large model to improve the performance of a smaller model! https://
github.com/mshumer/gpt-pr
ompt-engineer
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Claude Opus Now Available in Cursor for Developers
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You can now try out Claude Opus in Cursor The latest update ships with support for Pro and API key users. Enjoy!
