Open-Assistant
upspin
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Open-Assistant | upspin | |
---|---|---|
329 | 20 | |
36,622 | 6,219 | |
0.7% | 0.2% | |
9.1 | 6.0 | |
about 1 month ago | 24 days ago | |
Python | Go | |
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.
Open-Assistant
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Best open source AI chatbot alternative?
For open assistant, the code: https://github.com/LAION-AI/Open-Assistant/tree/main/inference
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GPT-4 Turbo for free with no sign up, and most importantly no Bing
Is this being used to collect chat results for synthetic data and/or training like https://github.com/LAION-AI/Open-Assistant did? I believe they gave away GPT-4 api calls via a text interface and absorbed the cost to later build a dataset of chats.
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OpenAI now sends email threats?!
https://open-assistant.io seems to have the same guardrails, as ChatGPT. Tried it on several prompts and it wouldn't comply.
- ChatGPT-Antworten nach Schulnoten bewerten
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Chat GPT Alternatives?
Open-Assistant [https://open-assistant.io/]
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What are the best AI tools you've ACTUALLY used?
Open Assistant by LAION AI on GitHub
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Keep Artificial Intelligence Free, protect it from monopolies: please sign this petition
To add to this if you want something for free or at least close to free, contribute to OpenSource projects like https://open-assistant.io/
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If I had to get someone from total zero to ChatGPT power user
Also, there are fairly useful alternatives like GPT4ALL and Open Assistant that you can run locally.
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Compiling a Comprehensive List of Publicly Usable LLM Q&A Services - Need Your Input!
https://open-assistant.io - oasst-sft-6-llama-30b
- Proposal for a Crowd-Sourced AI Feedback System
upspin
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I Moved My Blog from IPFS to a Server
Super intriguing. Thanks for sharing!
It reminds me a bit of an early Go project called Upspin [1]. And also a bit of Solid [2]. Did you get any inspiration from them?
What excites me about your project is that you're addressing the elephant in the room when it comes to data sovereignty (~nobody wants to self-host a personal database but their personal devices aren't publicly accessible) in an elegant way.
By storing the data on my personal device and (presumably?) paying for a managed relay (and maybe an encrypted backup), I can keep my data in my physical possession, but I won't have to host anything on my own. Is that the idea?
https://upspin.io/
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Educational Codebases
There are a few Go projects meant to be learned from:
- https://github.com/pion/opus for to learn audio
- https://github.com/benbjohnson/wtf for overall production quality
- https://github.com/upspin/upspin difficult to explain, personally I'm not a fan of the errors
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Fundamentals to Learn
You could also take a look at some real-world open-source projects. I like upspin for its idiomatic approach.
- Examples of Good Go Repos
- Examples of an idiomatic API project
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Best practices of validation on web apps?
For example, Rob Pike's upspin places all its validations in the separate package. Do you agree with that approach? Which yet proven options there are?
- Is there a good example of an open source non-trivial (DB connection, authentication, authorization, data validation, tests, etc...) Go API?
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Ask HN: What Are You Working on This Year?
Just a few projects that could perhaps interest you in terms of design of your own solution :
Upspin: https://upspin.io/
- Upspin: A framework for naming everyone's everything.
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proposal: Go 2: error handling: try statement with handler
The early error wrapping work which emerged out of the Upspin project, that eventually made its way into the errors package, included stack traces in the wrap error. This would provide exactly what it appears you seek.
What are some alternatives?
KoboldAI-Client
ytcast - cast YouTube videos to your smart TV from command-line
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
mitchellh/cli - A Go library for implementing command-line interfaces.
llama.cpp - LLM inference in C/C++
ivy - The Unified AI Framework
llama - Inference code for Llama models
golang-gin-realworld-example-app - Exemplary real world application built with Golang + Gin
gpt4all - gpt4all: run open-source LLMs anywhere
fiber-boilerplate - This is the go boilerplate on the top of fiber web framework. With simple setup you can use many features out of the box
stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts