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Your home for data science. A Medium publication sharing concepts, ideas and codes.
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Running Local LLMs is More Useful and Easier Than You Think
Running Local LLMs is More Useful and Easier Than You Think
A step-by-step guide to run Llama3 locally with Python
Guillaume Weingertner
Jul 11
Scale Up Your RAG: A Rust-Powered Indexing Pipeline with LanceDB and Candle
Scale Up Your RAG: A Rust-Powered Indexing Pipeline with LanceDB and Candle
Building a High-Performance Embedding and Indexing System for Large-Scale Document Processing and Retrieval
Alon Agmon
Jul 11
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GenAI with Python: LLM vs Agents
GenAI with Python: LLM vs Agents
Create an AI squad to automate literally anything on your laptop without GPU
Mauro Di Pietro
Jul 11
Make Metrics Matter
Make Metrics Matter
How data professionals can increase the impact of their strongest asset
Kate Minogue
Jul 11
What’s New in Computer Vision and Object Detection?
What’s New in Computer Vision and Object Detection?
Our weekly selection of must-read Editors’ Picks and original features
TDS Editors
Jul 11
How to Solve an Asset Storage Problem with Mathematical Programming
How to Solve an Asset Storage Problem with Mathematical Programming
Solving a two-dimensional assortment problem with Python and Gurobipy
Luis Fernando PÉREZ ARMAS, Ph.D.
Jul 10
Generative AI Privacy Risks
Generative AI Privacy Risks
Privacy Risks of Large Language Models (LLMs)
Debmalya Biswas
Jul 10
Prompt Engineering for Cognitive Flexibility
Prompt Engineering for Cognitive Flexibility
Practical insights and analysis from experiments with MMLU-Pro
Giuseppe Scalamogna
Jul 10
Towards Monosemanticity: A Step Towards Understanding Large Language Models
Towards Monosemanticity: A Step Towards Understanding Large Language Models
Understanding the mechanistic interpretability research problem and reverse-engineering these large language models
Anish Dubey
Jul 10
The Ultimate Handbook for LLM Quantization
The Ultimate Handbook for LLM Quantization
A deep dive into LLM quantization and techniques
Ashish Abraham
Jul 10
Step-by-Step Guide to Creating Simulated Data in Python
Step-by-Step Guide to Creating Simulated Data in Python
A beginner-friendly tutorial on generating your own data for analysis and testing
Marcus Sena
Jul 10
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