Orlando Devs: Embeddings are Cooler than ChatGPT & The State of Natural Language


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Topic: Embeddings are Cooler than ChatGPT: An intro to OpenAI's Embeddings
There's been a lot of talk about ChatGPT, but not enough talk about OpenAI's embedding models. Embeddings are a language model's representation of the meaning of text, and in this talk, we cover how we can use OpenAI embeddings API to solve classification and recommendation problems. We'll also cover how it can be used to intelligently search through documents and any other kind of text. I'll end with a quick demo showing how I'm using embeddings to search across application copy to help users find out how to do things within the software they use.
Speaker: Matt Dupree
Matt is a wannabe philosophy professor turned engineer turned entrepreneur. building an LLM-powered product guide that can be installed on any SaaS product and give an in-app walk-through for any task.
Topic: The State of Natural Language
You are an engineer giving a talk at a software developer meetup in Orlando, Florida.
Create a presentation about the current state of NLP technologies. Include topics like speech-to-text, captioning, intent engines, and generative AI. It should balance both hype and skepticism to provide a realistic portrayal of the space.
It should be approximately 30 minutes with time for Q&A. Include slides.
Speaker: Michael duPont
Michael has been engrained in NLP projects for the last eight years and promises to put down Tears of the Kingdom long enough to create an interesting talk. He also runs the Orlando Python meetup; come say hi!
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Orlando Devs: Embeddings are Cooler than ChatGPT & The State of Natural Language