AI & Data
What is red teaming in LLMs?
Red teaming tests LLMs with adversarial prompts to uncover risks, reduce bias, and build safer generative AI.
Blog
Insights on expert networks, market research, UX research, and AI training from the CleverX team.
AI & Data
25 articles
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AI & Data
What is modal evaluation in machine learning?
Model evaluation measures how well AI models perform. It is essential for ensuring accuracy, fairness, trust, and continuous improvement in machine learning.
AI & Data
What is data annotation?
Data annotation powers AI by turning raw data into training datasets. See why accurate labeling is essential for building reliable machine learning systems.
AI & Data
Synthetic data vs human feedback: when AI still needs humans
A clear way to when AI models can rely on synthetic data and when human feedback remains essential for alignment, safety, and frontier performance.
AI & Data
Supervised fine-tuning vs. RLHF: choosing the right path to train your LLM
A clear comparison between fine-tuning and RLHF to help ML and product teams choose the right LLM training strategy based on goals, cost, and data needs.
AI & Data
Why labeled data still powers the most advanced AI models
Labeled data is still the foundation of cutting-edge AI-from model training to RLHF and safety checks. Here’s why it matters more than ever.
AI & Data
Why is data labeling important for modern AI?
Discover how high-quality labels boost accuracy, safety, and speed in ML, and the tactics teams use to keep quality high at scale.
AI & Data
What is fine-tuning large language models: how to customize LLMs
Discover essential fine-tuning methods for large language models to customize AI performance for specific tasks and industries.
AI & Data
What is human feedback in AI?
See how real user input shapes better AI-improving trust, relevance, and business results. Get insights on building smarter, people-focused models.
AI & Data
How RLHF works in AI training: the complete four-phase process
Reinforcement learning from human feedback (RLHF) trains AI models to align with human values through supervised fine‑tuning, reward modeling, and policy optimization.
AI & Data
What is RLHF?
Reinforcement Learning from Human Feedback (RLHF) improves AI by using human input to fine‑tune models, making outputs safer, accurate, and aligned with user needs.
AI & Data
Primary data vs. secondary data
A comprehensive comparison of primary and secondary data sources in market research, discussing common mistakes to avoid and best practices for data collection and analysis.