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Exploring the Zephyr 7B: A Comprehensive Guide to the Latest Large Language Model
Zephyr is a series of Large Language Models released by Hugging Face trained using distilled supervised fine-tuning (dSFT) on larger models with significantly improved task accuracy.
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Fine Tuning LLAMAv2 with QLora on Google Colab for Free
Learn how to fine-tune one of the most influential open-source models for free on Google Colab.
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Introduction to Pandas for Data Science
The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.
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Easy Guide To Data Preprocessing In Python
By Ahmad Anis, Machine Learning Engineer and Researcher on October 24, 2022 in PythonPreprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.
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5 Different Ways to Load Data in Python
By Ahmad Anis, Machine Learning Engineer and Researcher on April 15, 2022 in PythonData is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow.
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Machine Learning Skills – Update Yours This Summer
The process of mastering new knowledge often requires multiple passes to ensure the information is deeply understood. If you already began your journey into machine learning and data science, then you are likely ready for a refresher on topics you previously covered. This eight-week self-learning path will help you recapture the foundations and prepare you for future success in applying these skills.
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Beginners Guide to Debugging TensorFlow Models
If you are new to working with a deep learning framework, such as TensorFlow, there are a variety of typical errors beginners face when building and training models. Here, we explore and solve some of the most common errors to help you develop a better intuition for debugging in TensorFlow.
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 Vaex: Pandas but 1000x faster
If you are working with big data, especially on your local machine, then learning the basics of Vaex, a Python library that enables the fast processing of large datasets, will provide you with a productive alternative to Pandas.
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 How to deploy Machine Learning/Deep Learning models to the web
The full value of your deep learning models comes from enabling others to use them. Learn how to deploy your model to the web and access it as a REST API, and begin to share the power of your machine learning development with the world.
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Saving and loading models in TensorFlow — why it is important and how to do it
So much time and effort can go into training your machine learning models. But, shut down the notebook or system, and all those trained weights and more vanish with the memory flush. Saving your models to maximize reusability is key for efficient productivity.
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Vaex: Pandas but 1000x faster
How to deploy Machine Learning/Deep Learning models to the web