PinnedMuthu ArumugaminMK ViewsRAG — Loading Skills into LLMRAG is an acronym for Retrieval Augmented Generation. The name was not super cool but it does a fantastic job on what it can do. You might…Dec 1, 2023Dec 1, 2023
PinnedMuthu ArumugaminMK ViewsGenerative AI Project — Part 4In the previous parts, we learned how to choose a use case that fits a generative AI project and select the model that works. We also…Aug 10, 2023Aug 10, 2023
Muthu ArumugamDeep Learning — Part 1We hear this term often in many places these days. Self-driving cars are not a dream anymore. Smartphones can go over all your photos and…Sep 16, 2023Sep 16, 2023
Muthu ArumugaminMK ViewsGenerative AI Project — Part 5We saw how we can think of an AI project, choose a model and also fine-tune it to support our model so far in the series…Aug 14, 2023Aug 14, 2023
Muthu ArumugaminMK ViewsGenerative AI project — Part 3In the previous parts, we learned about how to choose a use case that fits a generative AI project and also select the model which works…Aug 9, 2023Aug 9, 2023
Muthu ArumugaminMK ViewsGenerative AI Project — Part 2This part covers a playground project using Python. The source code is published in GitHub and you can download or clone or contribute…Aug 4, 2023Aug 4, 2023
Muthu ArumugaminMK ViewsGenerative AI project — Part 1This article will help you understand how you can get involved and create products using Generative AI models. To get a quick intro to…Aug 4, 2023Aug 4, 2023
Muthu ArumugamQuickies: Part 3 — Transformer/Prompt EngineeringThe way we interact with AI models is through prompts. Prompts are the text we enter in a context window (in a chatbot window). Then it…Aug 4, 2023Aug 4, 2023
Muthu ArumugamQuickies: Part 2 — LLM/TransformerLLMs are not new. We were researching them for a while. The most recent notable prediction model was RNN, Recurrent Neural Networks. We…Aug 4, 2023Aug 4, 2023
