LLM

Red Teaming Methods for LLMs Red Teaming in the context of Large Language Models (LLMs) like GPT-3, GPT-4, or other AI-based models is about testing these models for vulnerabilities, biases, ethical concerns, and potential malicious uses. Just as Red Teaming in cybersecurity simulates an attacker trying to breach an organization’s defenses, Red Teaming in LLMs […]

LLM Tuning Parameters Tuning a Large language model, there are several key parameters you can adjust to optimize performance. These parameters often depend on the specific LLM architecture and the tasks you’re using the model for. Max Length This setting allows you to control how many tokens the model produces. Temperature Temperature setting controls the […]