Elasticsearch + LangGraph RAG LangGraph's new Retrieval Agent Template integrates with Elasticsearch to build powerful RAG applications, featuring flexible LLM options, debugging tools, and query prediction. Learn more on Elastic's blog https://
elastic.co/search-labs/bl
og/build-rag-workflow-langgraph-elasticsearch
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Elasticsearch and LangGraph RAG Integration for Powerful Applications
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SandboxAQ Releases Awesome New Dataset
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Awesome new dataset from @SandboxAQ https://t.co/PtmSmM5W6H
— Yann LeCun (@ylecun) 22 juin 2025Awesome new dataset from @SandboxAQ
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Differential Privacy Applies to Samples Not Distributions
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no bc differential privacy applies to samples, not distributions
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Challenge: o3 identifies street from Lorde’s ‘Hammer’ lyrics via SHA1 hashes
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o3 names street x mentioned in the lyrics of song y by solo female artist z, given the last four chars of the SHA1 hashes of x, y, and z. Note the answer for y — Lorde’s “Hammer” — was just released yesterday.
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Olympics video footage training for AI models
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Training on a ton of olympics video footage makes a lot of sense.
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Machine Learning Refined: Foundations, Algorithms, and Python Applications
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#MachineLearning Refined — Foundations, #Algorithms, and Applications (with 100 in-depth coding exercises in #Python): http://
amzn.to/3EblXVx —————
#Coding #DataScience #ML #AI #DeepLearning #NeuralNetworks #Mathematics #DataScientist -
Building Neo4j-Powered Applications with LLMs and Haystack
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New from @PacktDataML >> "Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI" Available at https://
amzn.to/4l9lLKO -
Data Quality Tradeoffs in SOTA Model Training Datasets
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I'm not 100% sure about that. As an example I was just browsing through the DCLM-baseline datamix (which is ~SOTA) and it is *terrible*. Compared to what I could in principle imagine. Major concessions are made in data quality to gather enough data quantity.
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The Quest for Ultimate High-Quality Pretraining Data for LLMs
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Mildly obsessed with what the "highest grade" pretraining data stream looks like for LLM training, if 100% of the focus was on quality, putting aside any quantity considerations. Guessing something textbook-like content, in markdown? Or possibly samples from a really giant model?
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Data Flywheel: AI’s Next Competitive Advantage Loop
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The Data Flywheel Is the Next Competitive Advantage Leaders are building self-reinforcing AI loops to make their AI smarter: proprietary data → better models → more usage → better data. Why it matters: Owning the flywheel = differentiation + market leadership.