PromptLayer @promptlayer
The first platform for prompt engineering. Collaborate, manage, and evaluate prompts. https://t.co/wxIrb05J3z 🍰 promptlayer.com NYC Joined March 2022-
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Bringing back one of my favorite events that we've run for NY tech week. AI Demo night ✨✨ Lightning demos of real LLM apps by my favorite NY founders. lu.ma/mzhzxc4t
Bringing back one of my favorite events that we've run for NY tech week. AI Demo night ✨✨ Lightning demos of real LLM apps by my favorite NY founders. lu.ma/mzhzxc4t
👉 Are your AI prompts truly delivering? Join @imjaredz, Founder of @promptlayer, at the MLOps Conference for his talk on 'Iterative Strategies to Testing Prompts.' Learn sophisticated evaluation techniques to enhance prompt effectiveness.
Cool LLM startup gave me this idea today... and obviously the best time to ship quick new features is Friday evening Enjoy the new side-by-side Github-style diff viewer in @promptlayer 🍰👀🤯
🧩 Complex jailbreak prompts are the most effective Prompts that mix multiple jailbreak tricks tend to work best for getting around ChatGPT's rules. But if they're too complex, the AI might get confused.
最大的提示词工程平台 - PromptLayer 来自 @promptlayer 创办人 @imjaredz @pranav_kanchi 帮助构建真正的 AI 应用程序，包括强大的监控、提示词版本控制、成本分析以及评估提示词有效性的方法。使用一行代码即可码开始记录、组织和评估您的提示词。 特色功能： 1. 提示词登记 -…
🧵 Building your own personal ChatGPT (best practices) ChatGPT is actually a way simpler piece of software than you would expect, if we take @OpenAI apis as magic 🪄 We've learned a lot about prompt engineering best practices from our customers. Trying to share that knowledge
It's easy to be an expert when nobody knows what's going on @imjaredz 😉
My super duper unofficial model benchmarks have arrived! Evaluated using this prompt and a 25 handwritten test cases. 🥇 WINNER: GPT-4-Turbo #2: Mistral #3: Claude Sonnet and GPT-3.5-Turbo tied #4: Llama3 Obviously a small sample size so take it with a grain of 🧂
Another day, another gamechanging LLM 🚨🚨🚨 Snowflake just released Arctic, their own open-source LLM. Why you should care: 💸 Run inference directly on Snowflake instance. Push LLM costs to the customer. Huge. 🫡 Really good at coding and SQL generation. ⚖️ Relatively tiny.…
Check between O and [ on your keyboard 👀🍰🫡
We just added support for Llama3 on PromptLayer. @AIatMeta 📈📈📈 You can run use the playground, run evals, and compare it against GPT-4. The top 20 open source LLMs are now on PromptLayer 🍰 Thanks to @CloudflareDev for making this so easy!
Exciting stuff... @promptlayer is mentioned in the new Enterprise GenAI @Gartner_inc research. Some novel things in here 🧵 of what else they discovered
Llama 3 means it's time to promote this blog post again Migrate prompts to open source ! blog.promptlayer.com/migrating-prom…
Llama 3 is out. You can't ignore open-source models anymore. It's supposedly better than Claude 3 Sonnet 🤯🤯 Huge
Llama 3 has been my focus since joining the Llama team last summer. Together, we've been tackling challenges across pre-training and human data, pre-training scaling, long context, post-training, and evaluations. It's been a rigorous yet thrilling journey: 🔹Our largest models…
Building ChatGPT from scratch, with best practices ChatGPT is a simpler app than you would expect. In this tutorial we will build our very own personal ChatGPT. ➡️ With a special emphasis on prompt engineering best practices! blog.promptlayer.com/building-chatg…
Prompt engineering is not dead 😂😂 An article recently made rounds talking about some new auto-prompting tools and the false rumors of the death of prompt engineering. Love @simonw's response (see screenshot). Let me take this time to share MY definition: Prompt engineering…
Cool article on the AI Stack by @MongoDB and @richmondalake Love the PromptLayer shout out! AI is collaborative. Couldn't agree more. mongodb.com/resources/basi…
Whoa, I just realized that raising a kid is basically 18 years of prompt engineering 🤯
🏷️ Use XML tags Claude pays special attention to XML tag structure. You can use XML tags to clearly mark different parts of your prompt, like indicating which text Claude should remove personal info from.
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Bringing back one of my favorite events that we've run for NY tech week. AI Demo night ✨✨ Lightning demos of real LLM apps by my favorite NY founders. lu.ma/mzhzxc4t
👀 Big news! The official calendar of events for #NYTechWeek is now LIVE, and we are so excited to announce that this is officially our largest Tech Week EVER! - 500+ events hosted by VCs & startups 🤯 - June 3-9 2024 🗽 Want the complete list of events? Register here for…
👉 Are your AI prompts truly delivering? Join @imjaredz, Founder of @promptlayer, at the MLOps Conference for his talk on 'Iterative Strategies to Testing Prompts.' Learn sophisticated evaluation techniques to enhance prompt effectiveness.
heya @promptlayer it's exams rn, but I'd really like to organize a prompt building/ prompt jacking micro-competition at my university I'd like you guys to be a part of it, you guys up ? I can dm if interested
Cool LLM startup gave me this idea today... and obviously the best time to ship quick new features is Friday evening Enjoy the new side-by-side Github-style diff viewer in @promptlayer 🍰👀🤯
🔒 ChatGPT's restriction strength varies by topic ChatGPT is stricter about filtering out some types of content than others. The strength of its safety measures depends on the topic.
🆚 GPT-4 is more resilient than GPT-3.5 GPT-4 is better at resisting jailbreak attempts than GPT-3.5, but people can still frequently trick both versions into saying things they shouldn't.
🔄 Jailbreak prompts constantly evolve Whenever ChatGPT's safety controls are updated, people find new ways to jailbreak it. It's like a never-ending game of cat and mouse between jailbreakers and the devs.
🧩 Complex jailbreak prompts are the most effective Prompts that mix multiple jailbreak tricks tend to work best for getting around ChatGPT's rules. But if they're too complex, the AI might get confused.
🎭 Pretending is the most common jailbreak technique Most jailbreak prompts work by making the AI play pretend. If ChatGPT thinks it's in a different situation, it might give answers it usually wouldn't.
What can we learn from ChatGPT jailbreaks? Found a research paper that studies all the jailbreaks of ChatGPT. Really interesting stuff... By studying via negativa (studying bad prompts) we can become better prompt engineers. Learnings in 🧵 arxiv.org/abs/2305.13860
最大的提示词工程平台 - PromptLayer 来自 @promptlayer 创办人 @imjaredz @pranav_kanchi 帮助构建真正的 AI 应用程序，包括强大的监控、提示词版本控制、成本分析以及评估提示词有效性的方法。使用一行代码即可码开始记录、组织和评估您的提示词。 特色功能： 1. 提示词登记 -…
🚦 Regression tests are your friend Ensure your AI assistant maintains performance and reliability by setting up regression tests to compare new prompt versions against historical outputs.
🚀 Be intentional with production deployments Select stable production versions of your prompts carefully, and use release labels to easily manage deployments.
🧩 Modular prompting with snippets Organize your prompts into reusable snippets to maintain consistency, allow non-technical stakeholders to make edits, and streamline the development process.
📝 Version control is key Keep track of prompt changes using version control tools like @promptlayer to easily identify and revert to successful iterations.
■ Treat the LLM as a Black Box Approach prompt engineering by writing in natural language and checking the output. Trial and error is the name of the game. Don't plan too much.
The main point I want to make ➡️ Faster iterations = Better prompts Your prompt engineering dev environment matters. Faster iteration cycles is how you get to better prompts. These are the best practices I'll describe here blog.promptlayer.com/building-chatg…
🧵 Building your own personal ChatGPT (best practices) ChatGPT is actually a way simpler piece of software than you would expect, if we take @OpenAI apis as magic 🪄 We've learned a lot about prompt engineering best practices from our customers. Trying to share that knowledge
It's easy to be an expert when nobody knows what's going on @imjaredz 😉
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