Large language models (LLM) are all the rage but productionizing them is not so easy!
There are a bunch of things to keep in mind from choosing the right model, licensing it, managing GPU infrastructure for it, and much more when thinking of productionizing LLMs. But don’t let this bog you down about LLMs. We’ve co-authored Everything Large Language models with Greg Coquillo, Product Manager at Amazon, to act as a guide on your quest of exploring LLMs. In the eBook, we delve into various aspects of productionizing LLMs, and guide you on how you can start experimenting and shipping LLMs in no time!
We have compiled this book from our conversations with industry leaders of some of the most innovative companies of our time, including DoorDash, Greenhouse, Nomad Health, Facebook, Intuit, and more. You’ll learn about
How to evaluate LLMs for your business
Choosing the right model for your use-case
Legal considerations you should be mindful of when exploring LLMs
LLM use-cases from the business world
How you can deploy open-source LLMs in under 5 minutes!
Made with insights from:
Testimonials TrueFoundry makes your ML team 10x faster
"Today, the DevOps team doesn't trust me to deploy services because they think I will screw up or leak data or incur huge costs. Your Workspace concept with limits and isolation solves the problem and will help build more trust with the DevOps team"
Senior Data Scientist
"Getting started with Documentation to final Production of my model was only 45 minutes for me with TrueFoundry. Deploying models using a simple code block with all inference functions seems very handy and easy to use."
"I have previously faced issues deploying and monitoring models, but I feel the way TrueFoundry is being built and the new features that are about to come, it will definitely solve problems for a lot of ML developers."
"It's great to see the tech architecture being built in such a platform agnostic way. This is one of the most thoughtful architectures I have seen for any ML System being built and that gives me the confidence to deploy it in my infrastructure"
DevOps Manager at BeyondLimits
"I think this is amazing. The way you have thought of the code structure and orchestration is superb. Nothing is different to me, nothing is alien to me, and yet, it is simpler. I would like to personally use it at NRoad."
Co-founder at NRoadCorp
"I am very much interested and one of the reasons is the need to have a whole end to end ML workflow, completely automated and easy to plug into our current ML Stack. It seems TrueFoundry is doing that. This will be a long term scalable solution."
Lead ML Engineer at G2
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