LLM

Mixture of Experts (MoE) LLMs The Mixture of Experts (MoE) is an ML Technique where multiple expert networks (learners) are used to divide a problem space into homogeneous regions. MoE makes LLMs faster by using multiple smaller “experts” instead of one giant network. Each expert specializes in tasks like grammar or creativity. Only relevant experts […]

LLM Testing Tools LLM (Large Language Model) testing tools are essential for evaluating and fine-tuning models like GPT. These tools help ensure the models perform optimally across various tasks, including natural language understanding, generation, and specific use cases like question answering or summarization. Testing Tools List These tools can be used individually or combined to […]

LLM Test Cases LLM stands for Large Language Model, Like GPT-3 or GPT-4. Test cases are scenarios or examples used to test software to see if it works as intended. LLM test cases are tests designed to evaluate how well a large language model performs. LLM test case A test case is a set of […]

LLM Testing Guide When testing a Large Language Model (LLM) like GPT, the goal is to ensure it performs well across a variety of tasks, is accurate, and behaves as expected. The testing process should involve different types of tests, which focus on performance, reliability, safety, and functionality. Below is a detailed guide for testing […]

Red Teaming Tools Red Teamers use a variety of tools to simulate attacks and identify vulnerabilities in the LLM models. 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 […]

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 […]