How’s it going everyone, I decided to write a quick blog post to talk about a new service I’m working on. I’ve just finished university, and the job market is slow, so what better way to make money to feed the family than to release a specialised service? Enter (drumroll…) our new AI ChatBot Service for business owners. Here’s a demo of this in action (a quick video I made to showcase the service). Why is this such a good...Read more

Welcome to this post which will be the first in a series where I implement an end-to-end ML (Machine Learning) pipeline. To do this I will be using AWS (Amazon Web Services) and some of the tools on offer at Amazon i.e. SageMaker etc. This post aims to get you set up with an environment which you can then use to implement your own pipeline. The code for this project can be found in my GitHub (4igeek) repository. What are...Read more

Around a month ago, Apple released a report called “Introducing Apple’s On-Device and Server Foundation Models” which talks about how you can use “adaptors” to fine-tune a foundation large language model i.e. GPT-3 or Llama2 etc. In this post, (using the Apple research article) we will look at how we can use an external dataset to fine-tune one of these models using a technique called LoRA. Why would we want to do this? For a start, LLMs are trained on...Read more