π€ Want your team maximizing Claude? I run 1:1 and team AI workshops for companies doing $1M+ per year: https://aibuilder.academy/yt/4RAvJt3fWoI AI assistants are chatbots that can use tools to perform a wide variety of tasks. In this video, I walk through 3 ways to make a custom AI assistant using OpenAI's platform. Each approach is used to make a YouTube comment responder called ShawGPT. βΆοΈ Series Playlist: https://www.youtube.com/playlist?list=PLz-ep5RbHosU2hnz5ejezwaYpdMutMVB0 π₯ OpenAI API Intro: https://youtu.be/czvVibB2lRA π₯ Fine-tuning Open-source model: https://youtu.be/XpoKB3usmKc π° Read more: https://medium.com/towards-data-science/how-to-build-an-ai-assistant-with-openai-python-8b3b5a636f69?sk=af65504536ca6b977a4a993ecd2e80e8 π» Example code: https://github.com/ShawhinT/YouTube-Blog/tree/main/LLMs/ai-assistant-openai Resources [1] ShawGPT (No code): https://chat.openai.com/g/g-fdVpmWWIp-shawgpt [2] Playground: https://platform.openai.com/playground [3] Assistants API: https://platform.openai.com/docs/assistants/overview [4] Assistants Doc: https://platform.openai.com/docs/api-reference/assistants [5] More on tools: https://platform.openai.com/docs/assistants/tools/code-interpreter [6] Fine-tuning Guide: https://platform.openai.com/docs/guides/fine-tuning [7] Fine-tuning Doc: https://platform.openai.com/docs/api-reference/fine-tuning [8] Fine-tuning Data Prep: https://cookbook.openai.com/examples/chat_finetuning_data_prep Intro - 0:00 AI Chatbot vs Assistant - 0:42 Way 1: GPTs (no code) - 1:48 Way 2: Assistants API (Playground) - 14:30 Way 2: Assistants API (Example Code) - 17:13 Way 3: Fine-tuning API - 30:15 Recap - 46:06

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