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Richard Bownes
Richard Bownes

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Published in The Startup

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Fine Tuning GPT-2 for Magic the Gathering Flavour Text Generation

A template for fine-tuning your own GPT-2 model. GPT-3 has dominated the NLP news cycle recently with its borderline magical performance in text generation, but for everyone without $1,000,000,000 of Azure compute credits there are still plenty of ways to experiment with language models on your own. Hugging Face is…

Python

9 min read

Fine Tuning GPT-2 for Magic the Gathering Flavour Text Generation
Fine Tuning GPT-2 for Magic the Gathering Flavour Text Generation
Python

9 min read


Sep 3, 2021

Personalised Search Recommendation Engines with Huggingface and Keras

Language agnostic BERT sentence encoding, SCANN and neural collaborative filtering: a combined approach. — Introduction Language models are empowering thousands of products and millions of people through language generation like predictive text and classification. For instance, many companies are using NLP for customer service interactions, to help route users to solutions more quickly. Or github and copilot providing code from comments. Maybe most subtly, but…

Machine Learning

12 min read

Personalised Search Recommendation Engines with Huggingface and Keras
Personalised Search Recommendation Engines with Huggingface and Keras
Machine Learning

12 min read


May 4, 2021

Machine Learning Building Blocks: Logistic Regression

Logistic Regression from scratch with NumPy. — Preamble In my previous article, I wrote about linear regression, starting with linear equations and analytical solutions to fitting your data, to gradient descent-optimized models and using PyTorch primitives to create a single layer neural network to solve a continuous linear regression problem. …

Regression

8 min read

Machine Learning Build Blocks: Logistic Regression
Machine Learning Build Blocks: Logistic Regression
Regression

8 min read


Apr 12, 2021

Machine Learning Building Blocks: Linear Regression

Linear regression from scratch using Pytorch and Autograd — Neural network frameworks, automl solutions and staple numerical libraries, like Scikit-learn and SciPy, have abstracted away much of the logic and math from the implementation of workhorse algorithms. Linear regressions fall into this category. Regressions are fundamental techniques that are often as performant as more complicated models, but we sometimes…

Machine Learning

11 min read

Machine Learning Building Blocks: Linear Regression
Machine Learning Building Blocks: Linear Regression
Machine Learning

11 min read

Richard Bownes

Richard Bownes

29 Followers

BBC Data Scientist

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