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#workshop

Spinning Up in Deep RL: Workshop review

OpenAI Blog ↗ · 2019-02-26 Cached

OpenAI held its first Spinning Up in Deep RL Workshop on February 2, engaging ~90 in-person participants and ~300 livestream viewers to provide education in deep RL, robotics, and AI safety through talks, mentorship, and hands-on projects.

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#workshop

How California Small Businesses Are Using ChatGPT | OpenAI Academy

YouTube AI Channels ↗ · 2026-07-24 Cached

OpenAI Academy held a hands-on ChatGPT workshop for small businesses in California. Entrepreneurs experienced the AI tools firsthand and found them affordable and capable of quickly transforming business models.

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#workshop

OpenAI Academy: Small Business Jam 2025

YouTube AI Channels ↗ · 2026-07-09 Cached

OpenAI Academy hosted a small business jam in San Francisco, where several entrepreneurs shared how they use ChatGPT and custom GPTs to handle daily tasks such as product catalog management, website building, and data entry, demonstrating practical applications of AI to boost productivity.

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#workshop

OpenAI Academy x Veterans Forge | Building with ChatGPT: Practical AI Skills for Veterans

YouTube AI Channels ↗ · 2026-07-09 Cached

OpenAI Academy partnered with Veterans Forge to host workshops that help veterans learn practical AI skills through ChatGPT, emphasizing AI as an equalizer for career transitions.

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#workshop

OpenAI Academy: Parent-Coaches with the San Antonio Spurs

YouTube AI Channels ↗ · 2026-07-09 Cached

OpenAI and the San Antonio Spurs hosted a workshop to help parent-coaches understand how to use AI, craft effective prompts, and safely guide children in using AI tools like ChatGPT, aiming to democratize access to AI education.

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#workshop

[Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han

YouTube AI Channels ↗ · 2026-06-25 Cached

At the AI Engineer World Congress, Daniel Han delivered an in-depth talk on the practical experiences of reinforcement learning, model fine-tuning, quantization, and agents. He reviewed the evolution of open-source models from Llama to DeepSeek R1 and analyzed the five key stages of modern model training.

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