GPT-OSS Jailbreak: No Fine-Tuning, No Hacks—One Simple Trick
Summary
The video provides an insightful explanation of creating common drugs using GPOSS and introduces an efficient method of drug creation with just a single line of code change. It gives an overview of training Large Language Models (LLMs) involving base model training, tokenizing text data, and learning word knowledge. The tutorial demonstrates setting up the GPT OSS 20 billion model, creating a virtual environment, and running the model through an API endpoint to generate accurate responses, particularly focusing on drug creation scenarios.
Introduction to GPOSS
Explanation of creating common drugs using GPOSS and introduction to drug creation from the model with a single line of code change.
Training of Large Language Models
Overview of the training process of Large Language Models (LLMs) through different phases involving base model training, tokenizing text data, and learning word knowledge.
Model Instruction and Alignment
Explanation of using instructions to train the base model and aligning the model properly for accurate responses.
Removing Model Alignment
Techniques for removing alignment from the model and changing the training data to improve model responses.
Using the GPT OSS Model
Setting up the GPT OSS 20 billion model, creating a virtual environment, and running the model via API endpoint.
Model Response Examples
Demonstration of model response examples using prompt templates recommended by OpenAI, showcasing drug creation responses and other scenarios.
FAQ
Q: What is GPOSS and how is it used in drug creation?
A: GPOSS is a tool for creating common drugs and it is introduced in the context of drug creation with a single line of code change.
Q: Can you explain the training process of Large Language Models (LLMs)?
A: The training process of LLMs involves phases like base model training, tokenizing text data, and learning word knowledge.
Q: How are instructions used to train the base model for accurate responses?
A: Instructions are used to align the base model properly and ensure accurate responses.
Q: What techniques are employed to improve model responses by removing alignment?
A: Techniques involve removing alignment from the model and changing the training data.
Q: How do you set up the GPT OSS 20 billion model and run it via API endpoint?
A: Setting up involves creating a virtual environment and running the model through an API endpoint.
Q: What are some of the prompt templates recommended by OpenAI for generating model responses?
A: OpenAI recommends prompt templates for showcasing responses like drug creation scenarios and others.
Get your own AI Agent Today
Thousands of businesses worldwide are using Chaindesk Generative
AI platform.
Don't get left behind - start building your
own custom AI chatbot now!