Jan 20 · 9 min read · Off late a lot of my research time is studying why medical models systems fail. Not the obvious failures where the model outputs gibberish, but the subtle ones where the output looks clinically appropriate, follows proper documentation structure, use...
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Oct 20, 2025 · 10 min read · Tokenisation From Scratch: Building the Bridge Between Text and AI Understanding the translation layer that powers every large language model When you type a message to ChatGPT, Llama, or any other language model, something magical happens behind the...
Join discussionMay 16, 2025 · 5 min read · A Step-by-Step Guide to Training Your Own AI Model 1. What is Fine-Tuning? Fine-tuning is like teaching a well-read scholar to specialize in a new field. Imagine someone who’s read thousands of books (the pretrained model) – we’re giving them a cras...
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Oct 18, 2024 · 10 min read · Training a GPT-2 model from scratch is a rewarding experience, especially if you want to learn about natural language processing and get hands-on with machine learning models. This guide will walk you through the process step-by-step, with simplified...
Join discussionAug 16, 2024 · 6 min read · Normally when you fine-tune an LLM you end up making Jeff Bezos just a little bit richer due to the enormous compute power required even for the simplest of fine-tuning. I tried every free avenue I could think of to demonstrate fine-tuning using Mist...
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Jul 30, 2024 · 3 min read · Many people are extremely conversant in AI, but still haven't typed that first command to interact with a real AI model. Let's change that in a single blog post. The first technology you need is called a Jupytr Notebook. There are lots of online host...
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Jul 17, 2024 · 4 min read · We’ll explore the architecture of the GPT-2 model and understand how it generates text. Deep Diving into the intricacies of LLM and their pivotal role in the realm of GenAI. I’ll be doing this in Google Colab with Python and a couple of packages call...
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Jul 29, 2021 · 4 min read · Since their introduction in 2017, transformers have gotten more popular by day. They were initially proposed in the paper Attention Is All You Need. In Natural Language Processing, a transformer is a structure that helps perform the seq2seq tasks (te...
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