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Learn how to use PromptHub's API with OpenAI models. RESOURCES: OpenAI integration guide www.prompthub.us/blog/prompthub-openai-integration-guide Postman public collection www.postman.com/prompthub/prompthub-public/collection/01lf36o/prompthub-api-requests

Research papers AUTOREASON: AUTOMATIC FEW-SHOT REASONING DECOMPOSITION arxiv.org/pdf/2412.06975 AUTOMATIC CHAIN OF THOUGHT PROMPTING IN LARGE LANGUAGE MODELS arxiv.org/pdf/2210.03493 Resources: Enhance Performance of Any Model Through Automated Reasoning www.prompthub.us/blog/enhance-performance-of-any-model-through-automated-reasoning Few shot prompting guide www.prompthub.us/blog/the-few-shot...

Resources: How to Launch an LLM-based Project: A Guide for Teams www.prompthub.us/blog/how-to-launch-an-llm-based-project-a-guide-for-team Prompt caching www.prompthub.us/blog/prompt-caching-with-openai-anthropic-and-google-model Everything you need to do before prompting: Success criteria, test cases, evals www.prompthub.us/blog/everything-you-need-to-do-before-prompting-success-criteria-test-...

Learn how OpenAI, Anthropic, and Google handle prompt caching and how you can leverage it to reduce costs by up to 90% and decrease latency by up to 80% Resources Full blog post on prompt caching: Prompt Caching with OpenAI, Anthropic, and Google Models www.prompthub.us/blog/prompt-caching-with-openai-anthropic-and-google-models Few shot prompting guide www.prompthub.us/blog/the-few-shot-prompt...

Resources Full resource on user versus system messages www.prompthub.us/blog/the-difference-between-system-messages-and-user-messages-in-prompt-engineering Prompt chaining guide www.prompthub.us/blog/prompt-chaining-guide What We Can Learn from OpenAI, Perplexity, TLDraw, and Vercel's System Prompts www.prompthub.us/blog/what-we-can-learn-from-openai-perplexity-tldraw-and-vercels-system-prompts...

Practical, research-based, information on how to write better prompts for reasoning models. Best practices, which methods used to work, but don't work anymore, and more takeaways. Resources: Prompt Engineering with Reasoning Models www.prompthub.us/blog/prompt-engineering-with-reasoning-models Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering? arxiv.o...

We did a deep dive on all things related to role prompting and using personas in your prompts. We go over when it makes the most sense to include a persona in your prompt, and a framework to automate the process. Templates: Persona Generator (Jekyll and Hyde) app.prompthub.us/templates/4129 ExpertPrompt app.prompthub.us/templates/4128 Resources: Role-Prompting: Does Adding Personas to Your Prom...

Access the LLM Model Card Directory here: www.prompthub.us/resources/llm-model-card-directory

Research papers A Survey on In-context Learning arxiv.org/pdf/2301.00234 Auto-ICL: In-Context Learning without Human Supervision arxiv.org/pdf/2311.09263 Resources: Our full guide on in-context learning www.prompthub.us/blog/in-context-learning-guide Few shot prompting guide www.prompthub.us/blog/the-few-shot-prompting-guide Comparing Latencies: Get Faster Responses From OpenAI, Azure, and Anth...

Set up your next LLM-based feature or project for success. Learn how to quickly define success criteria, evals, and test cases to ensure you're shipping high-quality LLM experiences Resources: Everything you need to do before prompting: Success criteria, test cases, evals www.prompthub.us/blog/everything-you-need-to-do-before-prompting-success-criteria-test-cases-evals

There is no reason to go at it alone when it comes to prompt engineering. In the same way you can use LLMs to help you code or write, you can use them to help you create prompt. In this video we'll dive into some of the latest and greatest meta-prompting methods being researched and discovered. Research papers Our complete Guide to Meta Prompting www.prompthub.us/blog/a-complete-guide-to-meta-p...

o1-preview can reason! Kind of? Research papers Measuring Faithfulness in Chain-of-Thought Reasoning arxiv.org/pdf/2307.13702 Faithful Chain-of-Thought Reasoning arxiv.org/pdf/2301.13379 Resources: Faithful Chain of Thought Reasoning Guide: www.prompthub.us/blog/faithful-chain-of-thought-reasoning-guide OpenAI o1 - First Impressions llmindset.co.uk/posts/2024/09/openai-o1-first-impressions/#hal...

Prompt chaining consistently outperforms large prompts with multiple instructions. Try out prompt chaining in PromptHub for free to start experimenting. Resources Prompt Chaining Guide (has all prompt templates mentioned): www.prompthub.us/blog/prompt-chaining-guide Research paper: Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization arxiv.org/pdf/2406.00507 Prompt Chaining in P...

Everything you need to know about Chain of Thought prompting

How to use Daniel Kahneman's System 2 thinking in your prompts.

Easy tutorial to implement least-to-most prompting

How to use Program of Thoughts Prompting

How to use Self-Consistency to boost LLM performance

How Generated Knowledge Prompting can help reduce hallucinations

Why small changes to a prompt make a big difference (and what you can do about it)

Using LLMs to generate code? Watch this

Generate better content with AI

Solve any prompt engineering problem with a prompt pattern

This is the most effective prompt engineering method we've ever covered

How long until AI outperforms humans in knowledge work? A real-world case study

Do different models require different prompting?

Does saying please and thanks effect LLM output quality? Finally, a concrete answer

Train an LLM to become a better prompt engineer

Using LLMs and prompt engineering to making recommendations