The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Exploring Large Language Models with ChatGPT - #603
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Dec 8, 2022 In a captivating dialogue with ChatGPT, the AI marvel from OpenAI, listeners delve into the world of large language models. ChatGPT reveals its impressive capabilities in generating human-like responses and discusses its training through supervised learning and PPO. Key topics include the importance of prompt engineering, the risks of misuse, and the fascinating use of AI in artistic creation. The conversation also touches on the challenges of bias and fairness in AI, leaving audiences with insights into the future of machine learning.
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Large Language Models Defined
- Large language models generate human-like text from diverse inputs.
- They use transformer neural networks to understand context and word relationships.
ChatGPT vs. GPT-3
- ChatGPT builds upon GPT-3 with architectural and training enhancements.
- It's optimized for conversational tasks through datasets and fine-tuning.
Role of RLHF
- Reinforcement Learning from Human Feedback (RLHF) improves LLMs.
- Though not core to creation, it refines models like ChatGPT via targeted feedback.