
PromptGruup
Quickly iterate LLM workflows to streamline your prompting
What it does
Utilize collaborative, node-based interfaces to create effective and precise prompts effortlessly. Collaborate on docs with your team and reduce your time to deployment. Export prompt chains in JSON and YAML to integrate later.
Does a similar job
all alternatives →- CAChainForge, a visual tool for prompt engineering and LLM evaluation2023 · chainforge.ai · ▲177
Hi HN! We’re been working hard on this low-code tool for rapid prompt discovery, robustness testing and LLM evaluation. We’ve just released documentation to help new users learn how to use it and what it can already do. Let us know what you think! :)
- PEPrompt Engine – Auto pick LLMs based on your prompts2024 · jigsawstack.com · ▲93
Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…

- PSPromptMage – Simplify and Manage Your LLM Workflows2024 · promptmage.io · ▲10
Hello HN community, I'm excited to share a project we've been working on called PromptMage, an open-source tool designed to simplify the process of creating and managing complex workflows for large language models (LLMs). Backstory As developers and researchers working with LLMs, we found ourselves constantly grappling with the challenges of prompt iteration, testing, and version control. Existing tools didn't quite fit our needs for an integrated, intuitive workflow management solution. So, we decided to build one. PromptMage was born out of a desire to streamline these processes and make…
- PPPromptly – Prompt Management Platform for LLM Apps2023 · trypromptly.com · ▲15
We are excited to show Promptly (https://trypromptly.com), a prompt management platform for LLM apps that makes it easy to experiment, share and manage prompts in production. With Promptly, users can: - Try out different prompts and model parameters for various providers - Quickly share prompt snippets together with parameters and generated output. Think of it as CodePen or JSFiddle for prompts - Create high level endpoints on top of provider APIs (Open AI, DreamStudio etc) with templated and versioned prompts - Use built-in caching for endpoints that will help save on Open AI…

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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Source: Product Hunt launch ↗
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