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Kubernetes β€” Understanding and Utilizing Probes Effectively

Why proper configuration and implementation of Kubernetes probes is vital for any critical deployment The post Kubernetes β€” Understanding and Utilizing Probes Effectively appeared first on Towards Data Science.

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Overcome Failing Document Ingestion & RAG Strategies with Agentic Knowledge Distillation

Introducing the pyramid search approach The post Overcome Failing Document Ingestion & RAG Strategies with Agentic Knowledge Distillation appeared first on Towards Data Science.

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Manhattan Associates Discovers the Power of Deeply Connected Data Pipelines

Get a 30-day free trial or take a 5-minute tour of CData Sync - Use one tool to integrate and replicate data from any source to any destination, in the cloud, on-premises, or hybrid environment.

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Generative AI Is Declarative

And how to order a cheeseburger with an LLM The post Generative AI Is Declarative appeared first on Towards Data Science.

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10 Python One-Liners for Scikit-learn

Stop writing extra code β€” these 10 one-liners will take care of 80% of your Scikit-Learn tasks!

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Python Tooling Beyond Pandas: Libraries to Broaden Your Data Science Toolkit

Pandas alternative libraries that you might not know before.

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Deep Research by OpenAI: A Practical Test of AI-Powered Literature Review

How Deep Research handled a state-of-the-art review and possible challenges for research The post Deep Research by OpenAI: A Practical Test of AI-Powered Literature Review appeared first on Towards Data Science.

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Practical SQL Puzzles That Will Level Up Your Skill

Three real-world SQL patterns that can be applied to many problems The post Practical SQL Puzzles That Will Level Up Your Skill appeared first on Towards Data Science.

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Mastering 1:1s as a Data Scientist: From Status Updates to Career Growth

Use your 1:1s to gain visibility, solve challenges, and advance your career The post Mastering 1:1s as a Data Scientist: From Status Updates to Career Growth appeared first on Towards Data Science.

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The Ultimate Guide to Building a Machine Learning Portfolio That Lands Jobs

In this article, you'll learn how to create a portfolio that stands out.

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Using GPT-4.5 Without a $200 Subscription

Discover the easiest and most affordable way to use and experience the new GPT-4.5 model on the OpenAI platform.

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The Urgent Need for Intrinsic Alignment Technologies for Responsible Agentic AI

Rethinking AI alignment and safety in the age of deep scheming The post The Urgent Need for Intrinsic Alignment Technologies for Responsible Agentic AI appeared first on Towards Data Science.

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Building LLM Applications with Hugging Face Endpoints and FastAPI

FastAPI is a modern and high-performance compliant web framework for building APIs with Python.

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How to Train LLMs to β€œThink” (o1 & DeepSeek-R1)

Advanced reasoning models explained The post How to Train LLMs to β€œThink” (o1 & DeepSeek-R1) appeared first on Towards Data Science.

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Generative AI and Civic Institutions

Should human obsolescence be our goal? The post Generative AI and Civic Institutions appeared first on Towards Data Science.

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Preparing the Workforce for an AI-Driven Economy: Skills of the Future

Welcome to the era of rapidly evolving technological advancements β€” a phase where unprecedented innovations are taking place.

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10 Python One-Liners That Will Boost Your Data Preparation Workflow

Data preparation is a step within the data project lifecycle where we prepare the raw data for subsequent processes, such as data analysis and machine learning modeling.

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7 Powerful Python Decorators to Level Up Your Coding Game

Want to write cleaner, efficient, and more Pythonic code? Learn to use these built-in Python decorators today.

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Data Science: From School to Work, Part II

How to write clean Python code The post Data Science: From School to Work, Part II appeared first on Towards Data Science.

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5 Free Data Engineering Courses

You want to learn data engineering, but don’t know where to start? Here are the suggestions of five free online courses, with some additional resources for skill practicing.

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Avoidable and Unavoidable Randomness in GPT-4o

Exploring the sources of randomness in GPT-4o from the known and controllable to the opaque and uncontrollable. The post Avoidable and Unavoidable Randomness in GPT-4o appeared first on Towards Data Science.

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Text Generation with GPT-2 Model

This tutorial is in four parts; they are: β€’ The Core Text Generation Implementation β€’ Contrastive Search: What are the Parameters in Text Generation? β€’ Batch Processing and Padding β€’ Tips for Better Generation Results Let's start with a basic implementation that demonstrates the fundamental concept.

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Text Generation using Contrastive Search with GPT-2 Model

This tutorial is in four parts; they are: β€’ The Core Text Generation Implementation β€’ Contrastive Search: What are the Parameters in Text Generation? β€’ Batch Processing and Padding β€’ Tips for Better Generation Results Let's start with a basic implementation that demonstrates the fundamental concept.

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Vision Transformers (ViT) Explained: Are They Better Than CNNs?

Understanding how a groundbreaking architecture for computer vision tasks works The post Vision Transformers (ViT) Explained: Are They Better Than CNNs? appeared first on Towards Data Science.

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Unraveling Large Language Model Hallucinations

Understanding hallucinations as emergent cognitive effects of the training pipeline The post Unraveling Large Language Model Hallucinations appeared first on Towards Data Science.

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Announcing the Towards Data Science Author Payment Program

Rewarding contributors for the time and effort required to write great articles The post Announcing the Towards Data Science Author Payment Program appeared first on Towards Data Science.

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BentoML: MLOps for Beginners

Learn how to build, test, deploy, and monitor machine learning models in the cloud with the BentoML ecosystem.

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I Won’t Change Unless You Do

Game Theory 101: The Nash equilibrium The post I Won’t Change Unless You Do appeared first on Towards Data Science.

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Write for Towards Data Science

Quick Links: Why become a contributor? We are looking for writers to propose up-to-date content focused on data science, machine learning, artificial intelligence and programming. If you love to write about these topics, read on! Reach a broader audience with your articles. We are one of the most popular data science sites in the world. […] The post Write for Towards Data Science appeared first on Towards Data Science....

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Debugging the Dreaded NaN

Capturing and reproducing failures in PyTorch training with Lightning The post Debugging the Dreaded NaN appeared first on Towards Data Science.

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How LLMs Work: Reinforcement Learning, RLHF, DeepSeek R1, OpenAI o1, AlphaGo

Part 2 of the LLM deep dive The post How LLMs Work: Reinforcement Learning, RLHF, DeepSeek R1, OpenAI o1, AlphaGo appeared first on Towards Data Science.

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11 Python Libraries Every AI Engineer Should Know

Looking to build your AI engineer toolkit in 2025? Here are Python libraries and frameworks you can’t miss!

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DeepSeek-Level AI? Train Your Own Reasoning Model in Just 7 Easy Steps!

Who needs a supercomputer? Train your own powerful AI reasoning model with just 15GB VRAM!

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The Dangers of Deceptive Data–Confusing Charts and Misleading Headlines

A deep dive into the ways data can be used to misinform the masses The post The Dangers of Deceptive Data–Confusing Charts and Misleading Headlines appeared first on Towards Data Science.

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Nine Rules for SIMD Acceleration of Your Rust Code (Part 1)

General Lessons from Boosting Data Ingestion in the range-set-blaze Crate by 7x The post Nine Rules for SIMD Acceleration of Your Rust Code (Part 1) appeared first on Towards Data Science.

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