local.ai
window.ai
local.ai | window.ai | |
---|---|---|
4 | 6 | |
520 | 707 | |
- | - | |
8.7 | 8.8 | |
7 months ago | about 2 months ago | |
TypeScript | TypeScript | |
GNU General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
local.ai
-
Why does GPT4all respond so slowly on my machine?
I tried to launch gpt4all on my laptop with 16gb ram and Ryzen 7 4700u. Gpt4all doesn't work properly. It uses igpu at 100% level instead of using cpu. And it can't manage to load any model, i can't type any question in it's window. Faraday.dev, secondbrain.sh, localai.app, lmstudio.ai, rwkv runner, LoLLMs WebUI, kobold cpp: all these apps run normally. Only gpt4all and oobabooga fail to run.
-
All AI Models, from 3B to 13B running at ~0.5 tokens/s, what could be causing this?
Sidenote: can you try out localai.app and see if it's faster than oobabooga on your end? (It's all CPU inferencing as well, but just curious if there's any speed gain).
-
Releasing local.ai - an LLM local playground with minimal setup
Thank you. When I first started the project and got the domain localai.app, I had no idea LocalAI was a thing. A friend of mine forwarded me a link to that project mid May, and I was like dang it, let's just add a dot and call it a day (for now...) - local "dot" ai vs LocalAI lol
window.ai
-
GPT-Migrate converts repos from one lang/framework to another
totally agreed that diff projects need to be careful w/ sharing proprietary code w/ third parties.
openai's official stance is that it will never use API calls as training data, and that in my understanding it may retain API call data for up to 30 days for compliance purposes, but that it legally won't store it beyond that (whereas chatgpt convos are meant to be stored and used for training purposes).
as a next step, they could provide a swappable version of the LLM provider using something like https://github.com/imartinez/privateGPT, https://github.com/alexanderatallah/window.ai, etc. would love to have a standard develop here as the community matures around LLM usage
-
Releasing local.ai - an LLM local playground with minimal setup
You can actually try out a version of your idea with the sample chat app on windowai.io (will need to grab the extension, the app and the extension work together). In `window.ai` extension, you will want to set the model as `local`, and all call will be routed to `local.ai` for inferencing! <- This enables user of window to test out AI app without incurring any cloud cost :D
-
Meet Window AI: A New Way To Use Your Own AI Models On The Web – Including Local Ones
Web: https://windowai.io/
-
ChatGPT for Therapy
To make it even more privacy friendly, why not use https://windowai.io to let the user choose which language model to use?
-
Isn’t API Unsustainably Expensive?
+1 With Window, the user brings their own AI model and plugs it into the app, so the cost is on the user side, while also giving privacy benefits to the user and removing liabilities for the dev. https://windowai.io/
- Window: Use your own AI models on the web
What are some alternatives?
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
chatgpt-api-example - Batman/Alfred chatbot example with ChatGPT API
gpt-migrate - Easily migrate your codebase from one framework or language to another.
pnpm - Fast, disk space efficient package manager
qadog - QA agent that follows user stories