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๐Ÿ“š Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.

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LLMs in Production

contributions welcome License: MIT

A curated collection of engineering blogs on the use of Large Language Models (LLMs) in production.

If you've been searching for information on LLMs online, you've probably come across numerous articles explaining what LLMs are, how they work, steps for integrating them into your applications, and their potential applications in various industries. Two of the best ones I've read are from Chip Huyen (Building LLM applications for production) and Eugene Yan (Patterns for Building LLM-based Systems & Products).

It's easy to make something cool with LLMs, but very hard to make something production-ready with them.

I wholeheartedly agree with Chip's statement in the linked blog post. On top of top that, I'd add that making something production-ready with LLMs that actually benefits a business (improves a business metric in a cost-efficient way) is damn hard! I have found it pretty hard to find blogs describing the use of LLMs in real products to tackle actual business issues.

I'll list the engineering blogs from different companies that I've explored and read here. These blogs detail real-world applications of LLMs in solving specific business problems. I hope they will provide valuable insights and ideas on how you might employ LLMs to address challenges in your business problems.

I'll keep the list updated as and when I find new blogs. If you find a blog that fits here, send a PR or share it with me!

Title Company Date
Advancing Invoice Document Processing at Uber using GenAI Uber Apr, 2025
Building Dash: How RAG and AI agents help us meet the needs of businesses Dropbox Apr, 2025
Improving Pinterest Search Relevance Using Large Language Models Pinterest Apr, 2025
Using LLM to transcribe restaurant menu photos DoorDash Mar, 2025
Automated GenAI-driven search quality evaluation LinkedIn Dec, 2024
How DoorDash leverages LLMs for better search retrieval DoorDash Nov, 2024
Unleashing the power of large language models at DoorDash for a seamless shopping adventure DoorDash Oct, 2024
Automation Platform v2: Improving Conversational AI at Airbnb Airbnb Oct, 2024
Leveraging RAG-powered LLMs for Analytical Tasks Grab Oct, 2024
Fine-Tuning an LLM to Extract Dynamically Specified Attributes Mercari Sep, 2024
QueryGPT โ€“ Natural Language to SQL Using Generative AI Uber Sep, 2024
Supercharging Discovery in Search with LLMs Instacart Sep, 2024
Path to high-quality LLM-based Dasher support automation DoorDash Sep, 2024
Using Predictive and Gen AI to Improve Product Categorization at Walmart Walmart Jul, 2024
Hermes: A Text-to-SQL solution at Swiggy Swiggy Jul, 2024
Bringing AI-powered answers and summaries to file previews on the web Dropbox Jul, 2024
LLM-powered data classification for data entities at scale Grab Jul, 2024
Using AI to Understand the Complexities and Pitfalls of Real Estate Data Zillow Apr, 2024
Building DoorDashโ€™s Product Knowledge Graph with Large Language Models DoorDash Apr, 2024
Navigating Fair Housing Guardrails in LLMs Zillow Jan, 2024
Leveraging LLMs in Production: Looking Back, Going Forward Mercari Dec, 2023
CoEdIT: State-of-the-Art Text Editing With Fewer Parameters Grammarly Dec, 2023
Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling Nextdoor Oct, 2023
Dont you (forget NLP): Prompt injection with control characters in ChatGPT Dropbox Jul, 2023
From reviews to insights: Building analytic applications with Large Language Models in e-commerce Microsoft Jul, 2023
Automating data analytics with ChatGPT Microsoft Jul, 2023
The Right Tools For The Job BuzzFeed May, 2023
How AI Text Generation Models Are Reshaping Customer Support at Airbnb Airbnb Nov, 2022