Intro
I am a Computer Science student at the University of Manchester and am interested in Geometric Learning and Self Supervised Learning. Currently, I am working on:
- Benchmarking Self Supervised Learning Methods
- Self Supervised Learning Methods for Graphs
Feel free to reach out via email at: sauravvmaheshkar [at] gmail [dot] com
Reports
How To Write Efficient Training Loops in PyTorch
In this tutorial, we cover how to write extremely memory- and compute-efficient training loops in PyTorch, complete with share code and interactive visualizations.
How To Create an Image Classification Model in JAX/Flax
In this article, we learn how to create a simple image classification model in Flax with a short tutorial complete with code and interactive visualizations.
Chain-of-thought, tree-of-thought, and graph-of-thought: Prompting techniques explained
In this article, we'll provide a brief overview of a family of prompting techniques starting with chain-of-thought (CoT), modifying to enable tree search using tree-of-thought (ToT) and then finally generalizing it using graph-of-thought (GoT) prompting.
Using Segment Anything 2 with Weights & Biases
In this tutorial, we will cover how to use the Segment Anything 2 model using the Weights & Biases to log segmentation masks from automatic or prompted mask generation.
Training a chatbot on personal data with LlamaIndex and W&B
In this article, we'll go over about how we can create a chatbot on personal data using Llamaindex and local models with a Weights & Biases integration
Fine-tuning llama 2 for Named Entity Recognition
Brief overview of training a model from the llama family for Named Entity Recognition
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