tailwind-components
private-gpt
| tailwind-components | private-gpt | |
|---|---|---|
| 2 | 131 | |
| 1,825 | 52,175 | |
| - | 3.2% | |
| 7.3 | 9.2 | |
| 6 days ago | 7 days ago | |
| TypeScript | Python | |
| - | Apache License 2.0 |
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.
tailwind-components
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Top resources for Tailwind CSS for 2023
4. Components Collection
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Any exciting projects/tools
So, I combined a lot of pieces together: - NextJS & React for frontend, with a bunch of libraries: - https://tailwindui.com/, https://heroicons.com/ & fontawesome, https://github.com/unlight/tailwind-components & flowbite - + a lot of small hacks, tweaks, inspirations from other websites, etc
private-gpt
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
PrivateGPT is a nice tool for this. It's not exactly what you're asking for, but it gets part of the way there.
https://github.com/zylon-ai/private-gpt
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PrivateGPT exploring the Documentation
Further details available at: https://docs.privategpt.dev/api-reference/api-reference/ingestion
- Show HN: I made an app to use local AI as daily driver
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privateGPT VS quivr - a user suggested alternative
2 projects | 12 Jan 2024
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
Run https://github.com/imartinez/privateGPT
Then
make ingest /path/to/folder/with/files
Then chat to the LLM.
Done.
Docs: https://docs.privategpt.dev/overview/welcome/quickstart
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Mozilla "MemoryCache" Local AI
PrivateGPT repository in case anyone's interested: https://github.com/imartinez/privateGPT . It doesn't seem to be linked from their official website.
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What Is Retrieval-Augmented Generation a.k.a. RAG
I’m preparing a small internal tool for my work to search documents and provide answers (with references), I’m thinking of using GPT4All [0], Danswer [1] and/or privateGPT [2].
The RAG technique is very close to what I have in mind, but I don’t want the LLM to “hallucinate” and generate answers on its own by synthesizing the source documents. As stated by many others, we’re living in interesting times.
[0] https://gpt4all.io/index.html
[1] https://www.danswer.ai/
[2] https://github.com/imartinez/privateGPT
- LM Studio – Discover, download, and run local LLMs
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Ask HN: Local LLM Recommendation?
https://www.reddit.com/r/LocalLLaMA/comments/14niv66/using_a...
https://github.com/imartinez/privateGPT
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Run ChatGPT-like LLMs on your laptop in 3 lines of code
I've been playing around with https://github.com/imartinez/privateGPT and https://github.com/simonw/llm and wanted to create a simple Python package that made it easier to run ChatGPT-like LLMs on your own machine, use them with non-public data, and integrate them into practical applications.
This resulted in Python package I call OnPrem.LLM.
In the documentation, there are examples for how to use it for information extraction, text generation, retrieval-augmented generation (i.e., chatting with documents on your computer), and text-to-code generation: https://amaiya.github.io/onprem/
Enjoy!
What are some alternatives?
heroicons - A set of free MIT-licensed high-quality SVG icons for UI development.
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
terraform-provider-vault - Terraform Vault provider
gpt4all - gpt4all: run open-source LLMs anywhere
k8s-cloudwatch-adapter - An implementation of Kubernetes custom metrics API for Amazon CloudWatch; now maintained by ActZero.ai
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
tailblocks - Ready-to-use Tailwind CSS blocks.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
grucloud - Generate code and diagrams from cloud infrastructures: AWS, Azure, GCP, Kubernetes
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
devpod - Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker.
llama.cpp - LLM inference in C/C++