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Preparing PDFs for RAGs. | Towards Data Science

I created a graph storage from dozens of annual reports (with tables) Photo by Annual Report Design Agency – Report Yak on Unsplash Converting PDFs

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Flash 1.5, Gemma 2 and Project Astra
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Flash 1.5, Gemma 2 and Project Astra

1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been

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Data Science

Time Series for scikit-learn People (Part I): Where’s the X Matrix?

When I first started to learn about machine learning, specifically supervised learning, I eventually felt comfortable with taking some input $mathbf{X}$, and determining a function

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Citation tool offers a new approach to trustworthy AI-generated content | MIT News
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Citation tool offers a new approach to trustworthy AI-generated content | MIT News

Chatbots can wear a lot of proverbial hats: dictionary, therapist, poet, all-knowing friend. The artificial intelligence models that power these systems appear exceptionally skilled and

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Data Science

Generate More Insight By Connecting GameAnalytics to Databricks

We’re excited to announce a joint effort between Databricks for Games and GameAnalytics. This blog and associated code will help our mutual customers ingest data

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Data Science

Staking rewards calculators: Estimating crypto earnings with confidence

Cryptocurrency staking has emerged as a transformative way to earn passive income while supporting blockchain operations. Staking rewards calculators play a vital role in this

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Data Science

Influential Time-Series Forecasting Papers of 2023–2024: Part 1 | by Nikos Kafritsas | Jan, 2025

Exploring the latest advancements in time series Created with DALL3*3 Let’s kick off 2025 with a roundup of notable time-series forecasting papers. I’ve also included

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Introducing the Frontier Safety Framework
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Introducing the Frontier Safety Framework

Our approach to analyzing and mitigating future risks posed by advanced AI models Google DeepMind has consistently pushed the boundaries of AI, developing models that

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Daniela Rus wins John Scott Award | MIT News
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Daniela Rus wins John Scott Award | MIT News

Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory and MIT professor of electrical engineering and computer science, was recently named a co-recipient

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Data Science

Time Series for scikit-learn People (Part II): Autoregressive Forecasting Pipelines

In this post, I will walk through how to use my new library skits for building scikit-learn pipelines to fit, predict, and forecast time series

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  • NVIDIA AI Just Released the Largest Open-Source Speech AI Dataset and State-of-the-Art Models for European Languages
  • R-Zero: A Fully Autonomous AI Framework that Generates Its Own Training Data from Scratch
  • This AI Paper Introduces ReaGAN: A Graph Agentic Network That Empowers Nodes with Autonomous Planning and Global Semantic Retrieval
  • Salesforce AI Releases Moirai 2.0: Salesforce’s Latest Time Series Foundation Model Built on a Decoder‑only Transformer Architecture
  • The Role Of AI In Transforming Medical Manufacturing
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