How to Implement and Test Phi3: Microsoft’s Powerful New Large Language Model

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Gradio: Beyond the Interface

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Overcoming Outliers with ROBPCA

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How to Set Up Longitudinal Experiments: A Data Scientist’s Guide

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Multimodal citations with Google’s Vertex AI

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How to Boost the Performance of Python Using the Caching Techniques?

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Human and Artificial General Intelligence Arises from Next Token Prediction

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Feature Engineering that Makes Business Sense

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Improving the Analysis of Object (or Cell) Counts with Lots of Zeros

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The Math Behind Recurrent Neural Networks

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A Simple Way for Downloading Hundreds of Clipped Satellite Images Without Retrieving the Entire…

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Unleash Llama3 — How you can use the latest big-tech open-source LLM

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Using Double Machine Learning and Linear Programming to optimise treatment strategies

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Data Science Project Management

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To Know Is Also to Remember

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Python Meets Pawn 2: Clustering Chess Grandmasters based on their Openings

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How to Detect Floods in Satellite Imagery, Case Study: Dubai Flooding

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Organizing Python Functions in Utility Classes

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Permutation Feature Importance from Scratch

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LoRA: Revolutionizing Large Language Model Adaptation without Fine-Tuning

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An Introduction to Objective Bayesian Inference

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What is the Python LEGB Rule? Why It is Important?

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Building a simple Agent with Tools and Toolkits in LangChain

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Supercharging Prompt Engineering via Symbolic Program Search

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Introduction to Multi-Stage Image Build for Python

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Meta Llama 3 Optimized CPU Inference with Hugging Face and PyTorch

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N-of-1 Trials and Analyzing Your Own Fitness Data

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You’ve Got a Time Series. Now What?

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Merging tokens to accelerate LLM inference with SLERP

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Create an AI-Driven Movie Quiz with Gemini LLM, Python, FastAPI, Pydantic, RAG and more

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Neural Speed: Fast Inference on CPU for 4-bit Large Language Models

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Complex List Comprehensions Can Be Readable!

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Quantization, Linear Regression, and Hardware for AI: Our Best Recent Deep Dives

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Can AI “Fix” Climate Change? Perspective of a Data Nerd

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Pushing RL Boundaries: Integrating Foundational Models, e.g.

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Advanced Retriever Techniques to Improve Your RAGs

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Towards Reliable Synthetic Control

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Parse Your Invoices with LayoutLM and Label Studio

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Leveraging Python Pint Units Handler Package — Part 1

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Live Graphs with FFmpeg to Enhance your Data Storytelling

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How to Encode Constraints to the Output of Neural Networks

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Learning Generalist Models for Anomaly Detection

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Building a RAG chain using LangChain Expression Language (LCEL)

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Groq — Intuitively and Exhaustively Explained

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Deep Dive into Transformers by Hand ✍︎

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Enhancing Readability of Python Code via Annotations

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Using a Multimodal Document ML Model to Query Your Documents

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Moirai: Time Series Foundation Models for Universal Forecasting

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Why Human-Centred Approaches Lead to Better Algorithm Design

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