Bob Fabien wrote on X: "While some are still paying over a grand for AI courses, the biggest players are giving away high-value resources at no cost. From prompt engineering to agent frameworks, it is all here."
And here is a little present from me to you. I grabbed the new Agent Mode of OpenAI and told it to create an Exec Summary of the best practices in all the below guides and documents. Then I ran an edit over it for readability and completeness. I also included Case Study: Building a Cybersecurity Incident Classifier.
Hoping this saves you a bunch of time. Here is it as a 21-page PDF, great for your next Lunch & Learn. Enjoy!
https://www.knowbe4.com/hubfs/AI_best_practices_summary_V3.pdf
These are the original resources:
Prompt Engineering for LLMs. Prompt structures. Real use cases. LLM integration:
https://shorturl.at/JmCWH
Google Prompting Guide. Gemini tips. Role-based prompts. Workspace strategies:
https://shorturl.at/Im7xK
OpenAI Guide to Agents. Agent architecture. Use cases. Best practices.
https://shorturl.at/EwdZG
OpenAI on AI in the Enterprise. Adoption steps. Strategic roadmap. Use case design:
https://shorturl.at/GWeH2
Google Agent Companion Whitepaper. AI agent flow. Evaluation metrics. Real-world examples:
https://shorturl.at/hW2ak
Anthropic Agent Framework. Claude agents. Prompt flow. Iteration logic:
https://lnkd.in/dbyUHwGD
Anthropic Coding Best Practices. Secure structure. Prompt injection safety. Clean output:
https://lnkd.in/dE2BQ93t
And while we are talking AI, our Defend product is a fantastic agent you can use with M365 to filter out the most sophisticated phishing attacks. Keep reading and get your demo.
Warm regards,
Stu
Topics: AI
此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。