4 articles
Browse guides
A practical guide to chain of thought prompting: how it works, how it compares with direct prompting, which tasks benefit, the zero-shot, few-shot, structured, and chaining variants, and a checklist for evaluating results.
A practical guide to fine-tuning in AI: the workflow from task definition to evaluation, how it compares with prompting, retrieval, and training from scratch, common techniques, pitfalls, real-world applications, and a go/no-go decision review.
A practical guide to prompt injection: how untrusted content becomes an instruction, the direct, indirect, and persistent patterns, what can go wrong, a seven-part mitigation strategy, and a risk checklist.
A comprehensive overview of synthetic data: how it differs from real data, the main types and generation methods, benefits, privacy and ethics challenges, industry applications, an adoption checklist, and a practical validation process.