Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
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πŸ“Œ Towards Monosemanticity: A Step Towards Understanding Large Language Models

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-07-11 | ⏱️ Read time: 12 min read

Understanding the mechanistic interpretability research problem and reverse-engineering these large language models
πŸ“Œ The Ultimate Handbook for LLM Quantization

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 17 min read

A deep dive into LLM quantization and techniques
πŸ“Œ Step-by-Step Guide to Creating Simulated Data in Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 7 min read

A beginner-friendly tutorial on generating your own data for analysis and testing
πŸ“Œ A Bird’s-Eye View on the Evolution of Language Models for Text Generation

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 8 min read

In this article I would like to share my notes on how language models (LMs)…
πŸ“Œ Python + Google Earth Engine

πŸ—‚ Category:

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 24 min read

How to clean MapBiomas LULC rasters for any shapefile in Brazil
πŸ“Œ Leveraging Python Pint Units Handler Package – Part 2

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 10 min read

Create your customized unit registry for physical quantities in Python
πŸ“Œ Exploring Medusa and Multi-Token Prediction

πŸ—‚ Category:

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 12 min read

This blog post will go into detail on the β€œMEDUSA: Simple LLM Inference Acceleration Framework…
πŸ“Œ How to Test Machine Learning Systems

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 18 min read

From Concepts to Practical Code Snippets for Effective Testing
πŸ“Œ Heat Diffusion in a Thin Metal Rod

πŸ—‚ Category: PHYSICS

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 7 min read

What would happen if you heated a small section of an insulated metal rod and…
πŸ“Œ Language Models and Spatial Reasoning: What’s Good, What Is Still Terrible, and What Is Improving

πŸ—‚ Category: PSYCHOLOGY

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 22 min read

A review of capabilities as of July 2024
πŸ“Œ Delta Lake Optimistic Concurrency Control: To Lock or Not to Lock?

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 12 min read

Delta Lake Concurrency Management and its relevance
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πŸ“Œ AI-Proof Your Data Science Skill Set by Embracing Four Timeless Concepts

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 5 min read

And stay competitive in a saturated job market
πŸ“Œ Scaling Law Of Language Models

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 8 min read

How language models scale with model size, training data, and training compute
πŸ“Œ Conversational Analysis Is the Future for Enterprise Data Science

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 9 min read

LLMs won’t replace data scientists, but they will change how we collaborate with decision makers
πŸ“Œ Deep Dive into LSTMs & xLSTMs by Hand

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 13 min read

Explore the wisdom of LSTM leading into xLSTMsβ€Š-β€Ša probable competition to the present-day LLMs
πŸ“Œ Perception-Inspired Graph Convolution for Music Understanding Tasks

πŸ—‚ Category:

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 12 min read

This article discusses MusGConv, a perception-inspired graph convolution block for symbolic musical applications.
πŸ“Œ Spicing up Ice Hockey with AI: Player Tracking with Computer Vision

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 35 min read

Using PyTorch, computer vision techniques, and a CNN, I worked on a model that tracks…
πŸ“Œ Tracking in Practice: Code, Data and ML Model

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 13 min read

A guide to tracking in MLOps
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πŸ“Œ Doping: A Technique to Test Outlier Detectors

πŸ—‚ Category:

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 18 min read

Using well-crafted synthetic data to compare and evaluate outlier detectors
πŸ“Œ Implementing Neural Networks in TensorFlow (and PyTorch)

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-07-08 | ⏱️ Read time: 6 min read

Step-by-step code guide on building a Neural Network