Topic
AI Alignment & Constitutional AI
6 posts on ai alignment & constitutional ai — part of glossary on the n4n AI blog.
What is AI alignment? A plain-language guide
A practitioner's guide to AI alignment — what it means, how it works, why it matters for production systems, and the misconceptions that waste engineering time.
RLHF vs constitutional AI: two paths to alignment
A practical comparison of RLHF and Constitutional AI for engineers choosing alignment methods — covering training dynamics, operational costs, latency, and when each approach fits.
How Claude's Constitutional AI differs from GPT's RLHF
A technical comparison of Claude's Constitutional AI and GPT's RLHF training approaches, covering capabilities, prompting behavior, safety patterns, and when to choose each.
Constitutional AI explained: how Claude learns values
Constitutional AI uses a written constitution to train models through self-critique and revision, replacing human feedback with AI-generated feedback guided by explicit principles.
Anthropic's Constitutional AI paper, explained simply
A practical engineer's guide to Anthropic's Constitutional AI paper — how RLAIF works, the constitution design patterns, and what to steal for your own alignment pipeline.
AI alignment vs AI safety: what's the difference?
A practitioner's breakdown of AI alignment vs AI safety — distinct problems, overlapping tooling, and where each matters in production systems.
More topics in glossary
- Structured Outputs & JSON Mode19
- AI Agents Fundamentals12
- Hallucination in LLMs11
- Sampling Parameters: Top-p, Top-k & Penalties11
- Context Window & Context Length10
- Fine-Tuning Fundamentals9
- Foundation Models: Base vs Instruct vs Chat9
- Model Families & Naming Conventions: GPT-5, Claude, Gemini 3, Llama 4, Mistral, DeepSeek, Qwen, Grok9
- Grounding & Fact-Checking in AI8
- LLM Benchmarks: MMLU, HumanEval, SWE-bench & GPQA8
- Max Tokens, Stop Sequences & Output Truncation8
- Quantization Formats: GGUF, GPTQ, AWQ & INT4/INT88