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.
Blog
Insights on expert networks, market research, UX research, and AI training from the CleverX team.
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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.
User Research
How to recruit participants for user research: 8 methods that actually work in 2025
Recruiting the wrong participants ruins your research. Find better research participants with these 8 recruitment methods!
User Research
How to get honest feedback in usability testing (without misleading results)
Participants often give polite feedback instead of honest criticism during usability tests. Discover why this happens and how to get truthful insights.
Product Research
What product teams get wrong about usability testing (and how to fix it)
Discover why product teams struggle with usability testing and how simple planning mistakes can derail entire product launches.
Product Research
How to recruit participants for product research without wasting time
Find out what it takes to build a strong research participant pipeline, without wasting time, money, or data quality.