How to Use GPT 4O Mini in ChatGPT & Python: Step-by-Step Tutorial
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Level up your AI skills with this comprehensive walkthrough on using GPT‑4O Mini both inside ChatGPT and via Python. 🎯 Learn how to set up your environment, authenticate with the OpenAI API, craft prompts, and handle model responses seamlessly. Perfect for developers and AI enthusiasts eager to build fast, cost-effective GPT‑powered chatbots and automation tools.
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OpenAI just released GPT-4o Mini, officially replacing GPT-3.5 Turbo as the default model for ChatGPT free users and in the API. In this video, I break down everything you need to know about GPT-4o Mini, including why it's 60% cheaper than GPT-3.5 Turbo, how it performs better across benchmarks, and why you should switch immediately if you're still using the older model.
I walk through OpenAI's official press release, highlighting key improvements like the 128K token context window, knowledge updated through October 2023 (compared to September 2021 for GPT-3.5 Turbo), and enhanced multimodal capabilities. Then I show you exactly how to implement GPT-4o Mini in Python using LangChain with two practical examples: one testing ethical reasoning about AI in medical diagnosis, and another solving a math word problem about fence calculations.
Whether you're building AI applications, experimenting with language models, or just want to understand what makes GPT-4o Mini special, this video gives you the complete technical breakdown and hands-on code examples to get started today. The setup is incredibly simple, and I demonstrate how easy it is to swap models in your existing code by changing just one line.
TIMESTAMPS
00:00 GPT-4o Mini Released - Replaces GPT-3.5 Turbo
01:03 60% Cheaper with Better Performance
02:10 Model Specs: Context Window & Training Data
03:22 Comparing Models: Mini vs 3.5 Turbo
04:40 Setting Up Python Environment
06:01 Creating Basic Chain with LangChain
07:26 Building Prompt Template
08:37 Testing Ethical AI Discussion Prompt
10:04 Math Problem Example
11:47 Code Recap & Final Thoughts
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Who is Ryan
Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF.
Who is Matt
Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One.
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