Domino Data Science Blog

Subir Mansukhani

Subir Mansukhani is Staff Software Engineer - 2 at Domino Data Lab. Previously he was the Co-Founder and Chief Data Scientist at Intuition.AI.

An illustration of a large language model as production line
Data Science

Crossing the Frontier: LLM Inference on Domino

Generative AI transforms industries, but LLM deployment is tough. See how Domino simplifies LLM hosting & inference.

By Subir Mansukhani10 min read

Watchmaker working on an exquisite watch
Generative Models

Breaking Generative AI Barriers with Efficient Fine-Tuning Techniques

This blog post explores the challenges of fine-tuning large language models (LLMs) and introduces resource-optimized and parameter-efficient techniques such as quantization, LoRA, and Zero Redundancy Optimization (ZeRO). By fine-tuning Falcon-7b, Falcon-40b, and GPTJ-6b, we demonstrate how these techniques offer improved performance, cost-effectiveness, and resource optimization in LLM fine-tuning. The blog post also discusses the future of fine-tuning and its potential for unlocking new possibilities in enterprise AI applications.

By Subir Mansukhani9 min read

Data Science

Data Drift Detection for Image Classifiers

This article covers how to detect data drift for models that ingest image data as their input in order to prevent their silent degradation in production.

By Subir Mansukhani7 min read

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