Martin KeywoodCutting through the quagmire of using RAG with LLM’s — introducing BRAGIf you’re reading this then I assume you’re like me in that you love AI, you love the opportunity it offers and are blown away with what…Mar 29Mar 29
Martin KeywoodFine tuning a T5 small model to generate SQL from natural language with 92.3% accuracyI was inspired by https://huggingface.co/cssupport/t5-small-awesome-text-to-sql and the results it was achieving, and wondered if I could…Mar 293Mar 293
Martin KeywoodLLM Prompt Engineering — going beyond the basics, and how you can mitigate against confusionLLM’s can sometimes feel brittle, or confusing. How can you help make things a little clearer?Apr 11, 20232Apr 11, 20232
Martin KeywoodA Simplified Explanation of Machine Learning and Deep Learning — with a twistDISCLAIMER: Please don’t judge me too harsh on the simplistic tone and content here. Please read to the end. I believe you’ll be impressed…Dec 24, 20221Dec 24, 20221
Martin KeywoodWhat do the Machine Learning Training and Validation graphs tell us?Do you look at the Training and Validation graphs in Machine Learning and see a mess or a thing of beauty? Either way, they tell us more…Jun 7, 2022Jun 7, 2022
Martin KeywoodinTowards Data ScienceA Simple Maths Free PyTorch Model FrameworkLove Data Science and Deep Learning but get confused by all the maths and formulas and just want a simple explanation and set of examples?Aug 29, 2021Aug 29, 2021
Martin KeywoodinTowards Data ScienceWould it really be possible to have a single model that could do custom NER and QA on the same data?Having been hugely impressed so far with Transformers and my experimentation with BERT and GPT2, I came across T5 and thought it just…Dec 20, 2020Dec 20, 2020
Martin KeywoodinTowards Data ScienceHow could I do simple inference on my Fine-Tuned Transformers NER models?“NER, NER, na NER, NER !!” — Understanding NER in Transformers had been mocking me for a while. It was time for me to get the last laugh.Dec 15, 20201Dec 15, 20201