I'm developing a JavaScript library tailored for the smooth integration of open source Large Language Models (LLMs) into web applications. This tool simplifies the activation of sophisticated LLM features in your web projects to just three lines of code.
The library smartly determines whether to run the LLMs in the web browser, on the cloud, or a combination of both, depending on the real-time computational power of the user's device. This ensures an optimal user experience. Plus, you'll only incur charges when the library taps into cloud (API) resources, offering a cost-effective solution for developers.
As I fine-tune this library, I’d love to get your take on possible use cases:
I'm reaching out for your collective brainpower to identify creative and practical applications. What scenarios do you think would benefit from such a library? Are there specific gaps or challenges in the web development space that this tool could address?
Your insights are gold as we strive to build something that's truly beneficial for the developer community and beyond.
Can't wait to read your ideas and suggestions!
https://skymel.com/ . We are in closed beta and provide javascript library ( along with api endpoint) that decides in real time whether to run inference locally on the device or call api . You only pay for the api calls or gpu minutes used.