ChromaDB Self-Querying Retriever Last week we introduced the self-querying retriever Basic idea is to use an LLM to turn a user query into a "query" and a "filter" We now implemented to work with @trychroma
! Docs: https://
github.com/hwchase17/lang
chain/blob/master/docs/modules/indexes/retrievers/examples/chroma_self_query_retriever.ipynb
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CODE
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ChromaDB Self-Querying Retriever with LLM Integration
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SSL Cookbook: Practical Guide for Self-Supervised Learning Research
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Self-supervised learning is a key ingredient in recent AI breakthroughs. To lower barriers + help democratize access to this research, we compiled The SSL Cookbook: a practical guide for researchers navigating the intricacies of this research space.
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RNN Cells: A PhD Research Retrospective on Recurrent Architecture
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Ah, RNN cells. I seldom share the work I did during my PhD (pre-Google) but I thought maybe people would find this work fun and amusing. https://
arxiv.org/abs/1811.09786 Throwback to the fond memories of drawing recurrent cells in papers. If you look into that paper you will see that -
JAX Omission Raises Questions About AI Training Technology Strategy
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There’s no mention of JAX. That was a little weird as they own an extremely powerful next-generation training technology in the same way they owned TensorFlow at first.
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Meta’s FAIR Outpaces Google in Open Source AI Leadership
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Meta comes out looking so good from this. Meta’s AI division FAIR has consistently outmaneuvered Google in the open source deep learning community, starting with PyTorch and now with LLaMA.
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LearnCrunch Upcoming Courses: Tech Skills by Industry Experts
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Upcoming courses at @LearnCrunch_ (including mine) help you build business-critical tech skills in cohort-based live courses by leading industry experts: http://
learncrunch.com
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#MachineLearning #AWS #AI #DataScience #DataScientists #DataEngineers #DataViz #Python #Coding -
Free Stanford CS246 Course: Mining Massive Datasets PDF and Slides
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Download free PDF book (updated 3rd edition) *and* the lecture slides from the Stanford #ComputerScience course CS246: “Mining Massive Datasets” at https://
online.stanford.edu/courses/soe-yc
s0007-mining-massive-data-sets
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#BigData #DataScience #MachineLearning #AI #DataMining #DeepLearning #Algorithms #Mathematics -
Free Comprehensive Neural Network Design Textbook PDF Download
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Classic but still gold >> Download free PDF of comprehensive 1000-page textbook >> Neural Network Design [2nd edition]: http://
hagan.okstate.edu/NNDesign.pdf
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#BigData #DataScience #AI #MachineLearning #DeepLearning #NeuralNetworks #Mathematics #Algorithms -
Understanding Deep Learning: Free 515-Page PDF eBook Resource
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Understanding #DeepLearning (download 515-page PDF eBook): http://
udlbook.github.io/udlbook/
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#BigData #DataScience #AI #ML #MachineLearning #NeuralNetworks #ReinforcementLearning #NLProc #ComputerVision #Algorithms #DataScientists #mathematics -
Deep Learning Theory: Comprehensive PDF on Mathematical Foundations
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Download 471-page PDF >> The Principles of Deep Learning Theory — Theoretical & Mathematical Foundations: http://
arxiv.org/abs/2106.10165
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#BigData #DataScience #AI #MachineLearning #ML #DeepLearning #NeuralNetworks #DataScientists #Algorithms #Mathematics #Calculus #LinearAlgebra