Real-World Machine Learning

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Let's build a real-world ML app with LLMs
Do you want to learn how to build real-world ML apps, using Large Language Models Then this FREE tutorial is for you. The Hands-on LLMs Tutorial In the…
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Pau Labarta Bajo
1
This is how I learn ML
Today I wanna share with you how I learn new things in ML, because I think it can help you too. This is the strategy I started using 2 years ago, when I…
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Pau Labarta Bajo
How to generate a Q&A dataset in less than 30 minutes
Say you want to build an ML model that can act as an investing advisor. That is, a user sends basic information about himself/herself "I am a 25 year…
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Pau Labarta Bajo
How to Fine-tune a Large Language Model
Fine tuning is the process of adapting a base large language model (LLM), that was pre trained using a large corpus of raw text, to a specific task that…
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Pau Labarta Bajo
1
Don't know how to deploy an ML model?
Your ML model, no matter how accurate it is, has a business value of $0.00, as long as it stays confined in the realms of Jupyter. If you want to build…
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Pau Labarta Bajo
Still using CSV files?
Do not get me wrong. I love CSVs. You can open them with any text editor, inspect them and share them with others. They have become the standard file…
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Pau Labarta Bajo
RWML #037: Build and deploy an ML REST API in 5 steps
Read on realworldml.xyz Here is a hands-on FREE tutorial on MLOps that will help you grow as an ML engineer and go beyond notebooks. Tutorial materials…
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Pau Labarta Bajo
RWML #036: Modular Real-time Feature Pipelines in Python
A real-time feature pipeline is a program that constantly transforms raw data, e.g. stock trades from an external web socket, into features, e.g. OHLC…
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1
RWML #035: From ML prototypes to ML products
Do you know how to train ML models but don’t know how to build complete ML apps? This article is for you. The gap between training models and building…
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Pau Labarta Bajo
Real-World Machine Learning
Real-World Machine Learning
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