
Speeding up iteration with PromptLayer’s CMS (tips for prompt management)
This post was cross-posted with permission from Greg Baugues. You can find the original at https://www.haihai.ai/friction/
This post was cross-posted with permission from Greg Baugues. You can find the original at https://www.haihai.ai/friction/
Gorgias uses PromptLayer every day to store and version control prompts, run evals on regression and backtest datasets, and review logs.
Meticulate Case Study — PromptLayer empowers AI startup to debug complex agent LLM pipelines, rapidly build MVP, and go viral.
Speak Case Study — PromptLayer empowered content, product & bizops teams to efficiently scale AI-driven workflows, fueling rapid growth.
Ellipsis Case Study — PromptLayer slashes LLM agent debugging time by 75%, fueling 500K+ requests and 30 new customers in just 6 months.
ParentLab Case Study — How non-technical prompt engineers use PromptLayer to build highly-personalized AI user interactions.
OpenAI released gpt-4o two days ago, their new flagship model. The big question now is: Should you upgrade?
Prompt routers are the alternative to using monolithic, master prompts. They are faster, cheaper, and way easier to maintain.
Learning to prompt engineer through malicious examples.
You probably know what ChatGPT is already. The first smash success of the LLM revolution.
In honor of adding Mistral support to PromptLayer this week, we will evaluate & migrate our current prompts to open-source models.
PromptLayer recently hosted one of the first-ever prompt engineering tournaments. Here are our favorite prompt submissions.