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r/LocalLLaMA is the real benchmark of LLM's usability
Honestly, who really cares about MMLU score if doesn't provide any real value to the user?
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Aashay Sachdeva

August 2023

There is still opportunity for Indic Large Models
No language left behind
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Aashay Sachdeva

September 2021

You can’t always A/B test, that is why you need to learn about Quasi Experiments
Quasi Experiments for causal inference
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Aashay Sachdeva

June 2021

April 2021

In a world of Metrics
Guide on metrics to track for your Data Science Project
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Aashay Sachdeva

November 2020

September 2020

Slack might be the greatest example of Product led growth
My friend works at a company where they were still using email for their day to day communication, and where suffering from huge communication gaps…
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Aashay Sachdeva

August 2020

May 2020

Computer Vision for Everyone
1) The innovation
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Aashay Sachdeva
The 10x designer — Smart Automation with Kubric
The top metric at Kubric for the Data Science team is — “How do we reduce the amount of time spent by a designer on doing grunt work?”. We…
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Aashay Sachdeva

September 2019

Tensorflow Object Detection API Tutorial Part 1: Sharding the data
Tensorflow object detection API is a powerful tool for creating custom object detection/Segmentation mask model and deploying it, without…
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Aashay Sachdeva

May 2019

Experimentation with Variational Dropout -Do Subnetworks exist inside a Neural Network?
Variational Dropout was introduced by Yarin Gal as a mean to estimate uncertainties in prediction by neural networks. While this blog…
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Aashay Sachdeva
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