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mdelapenya/go-genai-webinar

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TLDR

This repository is a collection of educational materials for learning how to build generative AI applications using the Go programming language.

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In plain English

This repository is a collection of educational materials for learning how to build generative AI applications using the Go programming language. If you're interested in adding AI capabilities to Go projects, like chatbots, content generation, or intelligent search features, these webinar materials walk you through the practical steps to get started. The materials cover the core skills you'd need: how to connect your Go application to large language models (the AI systems that power tools like ChatGPT), how to craft prompts that get better results from those models, and how to combine multiple AI calls together or pull in outside information to make the AI smarter. The content was originally created by Daniel Whitenack for live webinar attendees, but it's organized here so anyone can learn from it at their own pace. This would be useful if you're a Go developer who wants to add generative AI to your product, a startup founder building an AI-powered application in Go, or a technical PM who needs to understand what's actually involved in integrating AI into an existing system. For example, if you're building a customer support tool that needs to understand incoming messages and generate helpful responses, these materials would show you the foundation of how that works. The repository itself is straightforward, it's organized by topic (accessing models, writing good prompts, combining AI calls) so you can focus on the specific skills you need. The README doesn't go into detail about whether there's accompanying code, videos, or slides, but the structure suggests each section has its own learning materials you can dive into.

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