AI Prompt Engineer jobs are not yet the most sought-after positions in the tech industry, partly because the field is still very new. With tools like ChatGPT and other emerging models, companies aren't always sure what they need from a prompt engineer. This makes these jobs harder to
It’s been two weeks since OpenAI announced a new pair of flagship models: OpenAI o1 and o1 mini. These models build on the foundation laid by their GPT-4o predecessors. The o1 and o1-mini models mark a significant advance in complex reasoning and problem-solving. They are designed to tackle some
Imagine chatting with a brilliant friend who knows almost everything and is always ready to help — be it answering a tricky question, summarizing a lengthy article, or generating creative content. Sounds incredible, right? Welcome to the world of Large Language Models (LLMs). These AI models have revolutionized how we interact
LangChain is an open-source framework designed to simplify the development of applications using large language models (LLMs). It provides a set of tools and abstractions that help developers integrate LLMs. In this blog post we consider other alternatives to LangChain. Why Consider LangChain Alternatives? Tools like LangChain have gained a
Enjoy our list of top prompt engineering tools. Each allows you to test, analyze, and improve your prompt engineering workflow. Equipping your team with the right tools can save you time and keep your organization on the bleeding edge of generative AI. We've highlighted the services, pros, and
A prompt engineering tool is an essential partner in managing your prompts. We’ll break down why you need one to measure the results of any prompt engineering technique. What is a Prompt Engineering Tool? Prompt engineering tools help you design, manage, analyze, and optimize the instructions (or "prompts&
Fine-tuning is an extremely powerful prompt engineering technique. This how-to guide will show you exactly how to do it effectively.
Jinja2 is a powerful templating engine that can take your prompts to the next level. See how it’s more powerful than just f-string.
The Importance of Tool Calling
Tips on how to prompt Claude more effectively. Take-aways from a talk by Anthropic’s “Prompt Doctor” (Zack Witten).
Ground truth is subjective, and the only reliable way to evaluate prompts is with real user metrics. A/B testing helps you safely iterate.
LLM tool calling as an AI idiom, its benefits over JSON mode, and examples of how to use function calling in your real projects.
For some reason, it feels like every startup now has its own custom-trained model. This is probably not a good idea.
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.