What it is
Blog post titled ‘Prompt Engineering 101’ authored by Sinan Ozdemir, published on December 19, 2022; introduces fundamentals of prompt engineering, explaining LLM prompt interpretation and offering practical tips; discusses the impact of LLMs like GPT-3, ChatGPT, Jurassic,…
Gabriel’s notes
Quick take: Blog post titled ‘Prompt Engineering 101’ authored by Sinan Ozdemir, published on December 19, 2022; introduces fundamentals of prompt engineering, explaining LLM prompt interpretation and offering practical tips; discusses the impact of LLMs like GPT-3,…
I saved this under Prompting because it can help you improve prompts, templates, and repeatable AI workflows.
Good fit if you want to:
- improve prompts, templates, and repeatable AI workflows.
Pricing snapshot (auto-enriched): Free tier available with 2 members, 50 evaluation runs, and 10K logs per month; pricing is usage-based with volume discounts and enterprise plans offering additional features and support.
Work-use / compliance snapshot (auto-enriched): Humanloop is suitable for workplace use, offering robust data handling with no training on user data, data minimization, retention policies, role-based access control, SSO availability, and compliance with SOC2 Type II and GDPR, while actively supporting HIPAA compliance for enterprise customers.
Alternatives (auto-enriched): Alternative: Vellum AI | Comparison: Vellum AI offers a more advanced prompt and workflow orchestration layer with integrated evaluation and monitoring, making it highly customizable and efficient at scale compared to Humanloop.
Prompting tip: treat this as a starting template—swap in your context, run 2–3 iterations, then save the best version for reuse.
Author: Sinan Ozdemir
Note: pricing and policy details can change—verify on the official site before making decisions.