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8 Ways to Scale your Data Science Workloads

KDnuggets

Get Started: BigQuery Sandbox Documentation Example Notebook: Use BigQuery in Colab 3. Your AI-Powered Partner in Colab Notebooks Data Science Agent in a Colab Notebook (sequences shortened, results for illustrative purposes) Colab notebooks are now an AI-first experience designed to speed up your workflow.

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What is an LLM Bootcamp? What Does Data Science Dojo Offer for Your Success?

Data Science Dojo

We’ll explore the specifics of Data Science Dojo’s LLM Bootcamp and why enrolling in it could be your first step in mastering LLM technology. The goal is to equip learners with technical expertise through practical training to leverage LLMs in industries such as data science, marketing, and finance.

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Generative AI: A Self-Study Roadmap

KDnuggets

Architecture Patterns : Simple RAG systems retrieve relevant documents and include them in prompts for context. Vector Databases and Embedding Strategies : RAG systems rely on semantic search to find relevant information, requiring documents converted into vector embeddings that capture meaning rather than keywords.

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Why You Need RAG to Stay Relevant as a Data Scientist

KDnuggets

Data scientists use different tools for tasks like data visualization, data modeling, and even warehouse systems. Like this, AI has changed data science from A to Z. If you are in the way of searching for jobs related to data science, you probably heard the term RAG. What is a retriever?

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Serve Machine Learning Models via REST APIs in Under 10 Minutes

KDnuggets

However, it: Validates input data automatically Returns meaningful responses with prediction confidence Logs every request to a file (api.log) Uses background tasks so the API stays fast and responsive Handles failures gracefully And all of it in under 100 lines of code. She co-authored the ebook "Maximizing Productivity with ChatGPT".

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Building a Custom PDF Parser with PyPDF and LangChain

KDnuggets

It will be used to extract the text from PDF files LangChain: A framework to build context-aware applications with language models (we’ll use it to process and chain document tasks). Tools Required(requirements.txt) The necessary libraries required are: PyPDF : A pure Python library to read and write PDF files.

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NotebookLM + Deep Research: The Ultimate Learning Hack

KDnuggets

Step 1: Choose a Topic To we will start by selecting a topic within the fields of AI, machine learning, or data science. Step 4: Leverage NotebookLM’s Tools Audio Overview This feature converts your document, slides, or PDFs into a dynamic, podcast-style conversation with two AI hosts that summarize and connect key points.