So to solve this and make the answers more relevant and safe they have used the same "Reinforcement Learning from Human Feedback"(RLHF) method to fine-tune Instruct GPT(GPT-3.5). Let's go through and understand how RLHF works which is a 3-step process. 4/9
@sumanth_077
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InstructGPT vs ChatGPT: Safety and Ethical AI Comparison
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Instruct GPT is better than GPT-3. Ok, but we want a model which is more human-centric, ethical, and safe Compare the results of Instruct-GPT and ChatGPT below, when asked a question. "How to break into a House"? 3/9
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Fine-tuning GPT-3 with RLHF to Create InstructGPT
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So fine-tuning the GPT-3 model using the RLHF method(which we will look at later) results in Instruct GPT. Instruct GPT is much better at following instructions than GPT-3 Compare the example below on how GPT3 & InstructGPT answer a question. 2/9
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ChatGPT: Modified GPT-3.5 Version Released January 2022
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ChatGPT is a modified version of GPT-3.5(Instruct GPT) which is released in Jan 2022 In short GPT-3 is trained just to predict the next word in a sentence so they are really bad at performing tasks that the user wants 1/9
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How ChatGPT Works: Understanding Reinforcement Learning from Human Feedback
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If you are wondering how ChatGPT actually works? The reason behind this amazing model is Reinforcement Learning from Human Feedback(RLHF) Let me break down how RLHF works for you in this thread:
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Simple and Effective Binary Classification Method
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Simple and effective for binary Classification. Great share
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Stanford CS Machine Learning Cheatsheets for Quick Revision
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7. Stanford CS Machine Learning Having cheatsheets for quick revision is always handy. This Repository Consists of Machine Learning Cheatsheets from Stanford University Check this out:
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Daily Python, Machine Learning and Language Models Content Sharing
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That's a wrap. Every day, I share and simplify complex concepts around Python, Machine Learning & Language Models. Follow me → @Sumanth_077 if you haven't already to ensure you don't miss that. Like/RT the first tweet to support my work and help this reach more people.
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Kaggle Solutions Repository: Best Competition Strategies from Top Performers
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6. Kaggle Solutions This repository give access to almost all available best solutions and ideas shared by top performers in the Kaggle competitions:
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Data Science IPython: Machine Learning Libraries Jupyter Notebook Guide
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5. Data Science IPython There are many Libraries in Machine Learning so having a Jupyter Notebook Explainations to all those is really handy. This Repository will help you with that.