Leveraging AI For Industry/Niche Use-Cases
You’ve probably tried ChatGPT and seen exciting results - Maybe you use it as part of your creative process. But there’s a whole world of Large Language Models (LLMs) like GPT out there, and a whole bunch of noise to sift through. With a PhD and a background in academia and industry, I provide clear educational content on how to leverage Generative AI for niche use-cases. Join my blog with 2,500+ followers and 35,000+ monthly views on Medium (in the process of transitioning to Substack) to learn more. Subscribe for exclusive content!
What’s in this newsletter?
I give a wholesome decision centric information on how to apply AI and build scalable AI based products. Much of my content is focused around large language models (LLMs) and applying LLMs to industry specific scenarios. I also discuss various aspects of operationalizing LLMs (LLMOps) - including systems design, scaling and deployment, and evaluation and continuous monitoring of applications
Here’s an image I made to help industry folks make LLM decisions.
I plan to write exclusively on AI and industry applications over the next year. I’ve seen that this is a niche that is very important because of all the folks trying to adopt Generative AI (ChatGPT/open-source LLMs) into their business needs. There are great folks making fundamental innovations at OpenAI, Google, etc. and writing research papers as well as communicating this research to the public. At the same time, folks at places like Hugging Face and AWS write brilliant tutorials on deploying state of the art open-source LLMs on their platform.
However, there is a lack of information on how to integrate these fundamental innovations to specific industry settings. For example, one thing that was really lacking was a detailed price comparison between open-source and closed-source LLMs. Or a discussion about what sort of LLM to use for what case. This is where I plan to focus my content (and have done so over the last ~10 or so blogs).
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