Narrow AI is an Automated Prompt Engineering and Optimization platform that can autonomously write, monitor, and optimize prompts for any model - so you can ship AI features 10x faster at a fraction of the cost.
Automated Model Migration: Adapt and test prompts on new models in minutes, not weeks
Intelligent Cost & Performance Optimization: Find the perfect balance between accuracy and efficiency
Continuous Performance Monitoring: Ensure your LLM task performance stays on track
We've reduced LLM task costs by 95% while maintaining consistent output quality by migrating from OpenAI models to more efficient open-weight models like Llama3 8b.
Our platform has helped reduce a week’s worth of manual evaluation and migration for building a report on a new model into an automated process that took less than a day.
Our API is also used as an embedded prompt optimizer within other AI products to help users create more reliable and cost efficient prompts in a matter of seconds.
Narrow AI is your partner in navigating the multi-model world, helping you:
✅ Stay adaptable in a rapidly changing model landscape
✅ Maximize cost efficiency
✅ Seamlessly transition between closed and open-weight models
✅ Leverage cutting-edge providers for optimal performance
Ready to transform your LLM development workflow? Learn more at getnarrow.ai
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AI Startups, AI Developers, AI Founders, CTOs
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React, Typescript, Webflow, Supabase, Llama
Based on our record, GitHub Codespaces seems to be more popular. It has been mentiond 148 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
https://github.com/features/codespaces All you need is a well-defined .devcontainer file. Debugging, extensions, collaborative coding, dependant services, OS libraries, as much RAM as you need (as opposed to what you have), specific NodeJS Versions — all with a single click. - Source: Hacker News / 4 months ago
For this week, our task was to automate everything: GitHub workflows for testing, linting, building, and error checking. Additionally, I set up a dev container that contributors can use in GitHub Codespaces for a fast, hassle-free setup. Finally, we were assigned to write tests for a classmate's project! - Source: dev.to / 7 months ago
As an alternative for Cloud9, you can use vscode.dev, which runs VS Code in the browser or other alternatives that are more integrated and personalized like gitpod.io or Github Codespaces. - Source: dev.to / 9 months ago
Check out GitHub Codespaces https://github.com/features/codespaces I have used it for learning C, Rust and Go. It even has a VSCode editor in the browser. It’s pretty easy to setup. Create a repo, add a hello_world.c, push the code, then in the UI press the green code option and select Create code space on main and then use the gcc from the terminal to compile... - Source: Hacker News / 9 months ago
I updated the settings in my router to keep my IP assigned to my computer to avoid needing to update the DNS file. ### Remote Development One option I didn't try is doing all of your development remotely in something like Github Workspaces. From what it looks like, I think this would provide all the functionality needed except, you'd be dependent on internet and be locked into their pricing. I've worked in this... - Source: dev.to / 10 months ago
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