Dhruv Deshmukh

Dhruv Deshmukh

Research Fellow at Microsoft Research India. B.Tech in Computer Science Engineering from Indian Institute of Technology Bhilai 2023.

Spelling Corrector using n-gram language model

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There have been a lot of advancements in Natural Language Processing with advent of Large Language Models. Today powerful tools like ChatGPT can do complicated tasks like writing an email or a poem. It might be difficult to make such models all on your own but here is a small project in which you can make your own small language model and do a simple task spelling correction using the beautiful concept of probabilities.

If you liked the tutorial and have an account on Kaggle do leave an upvote! Cheers!

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Late Trains and Laughter: The Hackathon Journey Chronicles

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Aditya, Anupam, Ayushi and I had to travel to Madras for Smart India Hackathon. We didn’t have direct train but had to switch trains at Nagpur. We boarded our train to Nagpur at the night slept thinking that next day by early morning we would be there and would then board our train to Madras. But when we woke up the next day we got the shock our life! Our train had apparently derailed during the night and was delayed a lot. Surprisingly I slept like a baby and did not feel a thing, but Aditya wasn’t so lucky, felt a huge jerk. With the current delay we would not be able to catch our train to Madras! We started looking for alternatives and stupidly enough tried to look for uber cabs from the next station😂. Being in a very rural area at that time there was no chance to get a cab. Finally we approached the TC of our train and explained him our situation. He told us get down this train at the next station and board the train that was coming behind it. He assured that the other train would get more priority on the track and had more chance to reach Nagpur in time for us to catch the next train. We took the TC’s advice and got into the other train. After an hour of nervous waiting we were finally at the Nagpur station and luckily enough our train to Madras was just entering the station on the adjacent platform. Thanks to the TC’s quick thinking, we made it to Nagpur just in time to catch our train to Madras, turning a potential disaster into a memorable adventure!

The Great Hostel Bread-Pizza Experiment

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Having recently graduated, I’ve decided to mix things up by sharing some entertaining anecdotes from my college days every now and then. These stories will bring a refreshing change from my usual posts on tech and research papers. So here is first one….

Me with friends eating trying to make bread pizza

Three of us, Utkarsh, Aditya, and I wanted to cook something in the hostel. We wanted to cook something that wouldn’t make us feel like MasterChef contestants or instant noodle experts! So we settled for bread pizza. More than making the pizza, the difficult part was convincing our other friends to help us and assure them that it would taste good. Since the plan was finalized at the last moment(as with any plans😂), there was no time to order stuff, so the three of us borrowed some cycles and set out to buy them from the market outside our campus. Since the then campus(temporary campus) was in Sejbahar(rural outskirts of Raipur), we were a bit skeptical that we would get all the ingredients we needed. After cycling and foraging through some shops, we finally gathered all the required ingredients. It was already late, and we were starting to get calls from our hungry friends, so we rushed back to our beloved hostel(Ena). After reaching, we cut up all the veggies with the help of our friends. With our engineering minds at work, we devised an assembly line to transform bread slices into pizza masterpieces, and soon, our pizza factory was in full swing! And just like that, our makeshift pizza factory turned a hungry hostel night into a deliciously unforgettable memory!

Future Blog Post

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Will post once I have something interesting!

Vision GNN: An Image is Worth Graph of Nodes

5 minute read

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The paper proposes to represent the image as a graph structure and introduce a new Vision GNN (ViG) architecture to extract graph-level feature for visual tasks.