PinnedPinaki BrahmaBecoming the Ultimate RAG Picker for Your LLMThere are a lot of articles that talk about RAGs and some ‘hello world’ use cases where they implement RAGs along with LLMs to generate…May 20May 20
PinnedPinaki BrahmaUnraveling the `testing` hurdle in data science solutionsI am a data scientist, like many of you, who have struggled to write ‘tests’. Not anymore though — thanks to an almost five-year-old video…May 11May 11
Pinaki BrahmaWhy do we need a (Q)LoRA for finetuning LLMsCan you use LLMs to accurately answer questions specific to your industry? The answer most likely is a ‘No’. This article will help you…2d ago2d ago
Pinaki BrahmaEvolution of Optimizers in Deep Learning NetworksThis article will walk you through the journey from GD to Adam, and what is there beyond.2d ago2d ago
Pinaki BrahmaA primer in Activation FunctionsActivation functions are an integral part of any neural network. Without these, a neural network would just be a very bulky linear model.Jul 21Jul 21
Pinaki BrahmaA ‘run down’ on Gradient DescentIntuition, Mathematics and Code for Gradient Descent. You know this well, and you are ready for anything the ML world throws at you. Well…Jun 21Jun 21
Pinaki BrahmaHow to keep revising effectively what we already know in Machine LearningIf you are someone who is worried about forgetting the basic concepts of Machine Learning, this blog is for you. I share a one-week…Jun 131Jun 131
Pinaki BrahmaCreate your first RAG Pipeline using Langchain: A Handholding Tutorial for BeginnersThe search to find out the perfect guide on creating your RAG pipeline is over. You will benefit from the months of research and hard work…Jun 2Jun 2