Introduction to Agents in LLMsAgents are becoming very popular in today’s world. I wanted to write a simple enough introduction to agents.Jul 22Jul 22
Ensembles of Decision TreesEnsembles are a type of machine learning technique that combines multiple models to create a more powerful, accurate, and robust model. Two…Jul 20Jul 20
Tokenization in LLMsWhen people start learning about LLMs, this seem to be the most underestimated part. Hence, I thought of this topic for this blog. This is…Jul 4Jul 4
Approximate Nearest NeighboursFinding the nearest neighbours is a widespread problem is today’s world. The usecases are Visual Search, recommendations, finding similar…Mar 29Mar 29
ML Systems — Recommendations1. Scaling the Instagram Explore recommendations systemDec 11, 20231Dec 11, 20231
Keras (The high-level API for TensorFlow) Cheatsheet — The one stop shopKeras is usually the first framework one learns while starting to get into Deep Learning. It was mine too. But I tend to forget the…Dec 1, 2023Dec 1, 2023
Finetuning LLMs using LoRABefore getting to the meat of the blog i.e. Finetuning an LLM, it will be good to have a brief summary of Why do we even need it ?Sep 29, 20235Sep 29, 20235
LangChain: The Future of LLM-powered Applications — Part 2(Application)In the previous blog, we learnt about the background/basics of Langchain, In this one we will see some use-cases and know about how to…Sep 16, 2023Sep 16, 2023
Beginner’s guide to one of the best Vision model — CLIP (Contrastive Learning Image Pre-training)What is CLIP? Contrastive Language-Image Pre-training (CLIP for short) is a state-of-the-art model introduced by OpenAI in February 2021…Aug 19, 20231Aug 19, 20231
