blind_chat
blindai
| blind_chat | blindai | |
|---|---|---|
| 3 | 6 | |
| 213 | 490 | |
| 3.8% | 0.4% | |
| 9.1 | 8.0 | |
| 8 days ago | 2 months ago | |
| Svelte | Rust | |
| Apache License 2.0 | 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.
blind_chat
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[P] Open-source project to run locally LLMs in browser, such as Phi-1.5 for fully private inference
Excited to introduce BlindChat (https://github.com/mithril-security/blind_chat), an open-source, privacy-centric alternative to ChatGPT for in-browser Conversational AI!
- Flan-T5 running locally in browser with Hugging Face Chat-UI and transformers.js
- Show HN: OSS, private and in-browser Conversational AI with local model
blindai
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[D] Any options for using GPT models using proprietary data ?
We are working on an open-source project, BlindAI (https://github.com/mithril-security/blindai) to answer exactly that: privacy when sending data to remote AI models.
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[P] Secret Whisper: Deploy OpenAI Whisper model with privacy using BlindAI
BlindAI (https://github.com/mithril-security/blindai) is an open-source confidential AI deployment. By using secure enclaves (Intel SGX for now, soon AMD SEV and Nvidia Confidential Computing), we provide end-to-end protection for users’ data, even when sending it to the Cloud for AI inference. You can see the gains of BlindAI on the scheme below:
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[P] Introducing BlindAI, an Open-source, fast and privacy-friendly AI deployment solution. Benefit from state-of-the-art AI without ever revealing your data!
Good thing with enclave is that the hardware protection enable us to use regular AES to secure communication with the enclave, which means no ciphertext expansion and lightweight client side. We do not need to have a complicated client side, we just need a slightly modified TLS client with additional security checks, like remote attestation but you can have a look on our client side it's light (https://github.com/mithril-security/blindai/tree/master/client).
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BlindAI: fast and privacy-friendly AI deployment solution in Rust
I am glad to introduce BlindAI, an AI deployment solution, leveraging secure enclaves, to make remotely hosted AI models privacy friendly. We leverage the tract project as our inference engine to serve AI models in ONNX format inside an enclave. We also use the Rust SGX SDK to use Rust for our secure enclave for AI.
- BlindAI: Open-source, fast and privacy-friendly AI deployment solution in Rust
What are some alternatives?
ollama-webui - ChatGPT-Style WebUI for LLMs (Formerly Ollama WebUI) [Moved to: https://github.com/open-webui/open-webui]
incubator-teaclave-sgx-sdk - Apache Teaclave (incubating) SGX SDK helps developers to write Intel SGX applications in the Rust programming language, and also known as Rust SGX SDK.
horizon-send - End-to-end encrypted file sharing.
onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)
sveltekit-ably-realtime-game - SvelteKit Ably: introduction to using Svelte with Ably and building a real-time ♟️ game or instant 💬 chat with serverless WebSockets.
ire - I2P router implementation in Rust
candle - Minimalist ML framework for Rust
rsrl - A fast, safe and easy to use reinforcement learning framework in Rust.
veracruz - Main repository for the Veracruz privacy-preserving compute project, an adopted project of the Confidential Compute Consortium (CCC).
steelix - Your one stop CLI for ONNX model analysis.
paaster - Paaster is a secure and user-friendly pastebin application that prioritizes privacy and simplicity. With end-to-end encryption and paste history, Paaster ensures that your pasted code remains confidential and accessible.
whatlang-rs - Natural language detection library for Rust. Try demo online: https://whatlang.org/