GPT
guardrails
| GPT | guardrails | |
|---|---|---|
| 13 | 13 | |
| 17 | 3,361 | |
| - | 6.4% | |
| 8.4 | 9.9 | |
| 8 months ago | 3 days ago | |
| Papyrus | 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.
GPT
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GPT-PDF Manager [Update]: CHAT not only with PDF but also DOCX, PPTX, ODT, ODS documents
With the last update GPT-PDF Manager acquires the ability to mange also .docx, .pptx, .odt, .ods documents into YOUR local database. The new "DEEP parsing" option allows you to get more accurate answers. Free and Open source from GitHub
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GPT-DEBATE: What effects will the recession of the German economy have on cryptocurrencies?
I have posed the question to GPT-DEBATE with the two position:
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DEBATE: is Artificial Intelligence dangerous ? What is OpenAi's opinion?
Since, as we developers know, GPT works according to the directives and the information given to it, I think it essentially represents OpenAI's position. If you want to try it yourself (even on other topics), here's the link to download the software from GitHub.
- Both GPT-PDF-MANAGER for managing documents on your own PC and GPT-DEBATE for discussing ideas using GPT, are included in the latest update of POWER-K distribution. Free and openSource
- GPT DEBATE TOOL: This software allows the comparison between two teams with different opinions, using the capabilities of OpenAI models. Each TEAM also has the option to upload .pdf or .txt documents in support of their position. FREE and Source Code.
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GPT DEBATE TOOL: compare different opinion using GPT
Download from GitHub
- GPT: Chat with YOUR .PDF and .TXT docs from your PC
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Chat with Your .Pdf, .TXT docs From Your PC
Free an Open source as usual on GitHub.
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A free GPT .PDF Documents Manager on your PC
To demonstrate how to use the POWER-KI programming language, with GPT of OpenAi, this second DEMO on GitHub that allows you to create locally, on your computer, a database of .pdf and .txt documents that can be queried via GPT. In a few minutes you can download the application and the execution environment or, if you are interested in its technology, the development environment.
guardrails
- Guardrails AI
- Does anyone have an example of a langchain based customer facing agent like a cashier/waitress?
- Is there a UI that can limit LLM tokens to a preset list?
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A minimal design pattern for LLM-powered microservices with FastAPI & LangChain
You're absolutely correct, and I agree that there's potentially a risk of quality loss. But likewise, since these are all intrinsically linked, it may be possible to leverage strength by combining these tasks. I'm unaware of a paper reviewing the reliability and/or performance of LLMs in this specific scenario. If you find any, do share :) With regards to generating JSON responses - there are simple ways to nudge the model and even validate it, using libraries such as https://github.com/promptslab/Promptify, https://github.com/eyurtsev/kor and https://github.com/ShreyaR/guardrails
- Ask HN: People who were laid off or quit recently, how are you doing?
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Ask HN: AI to study my DSL and then output it?
There are a couple different approaches:
- Use multi-shot prompting with something like guardrails to try prompting a commercial model until it works. [1]
- Use a local model with something with a final layer that steers token selection towards syntactically valid tokens [2]
[1] https://github.com/ShreyaR/guardrails
[2] "Structural Alignment: Modifying Transformers (like GPT) to Follow a JSON Schema" @ https://github.com/newhouseb/clownfish.
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Introducing :🤖 Megabots - State-of-the-art, production ready full-stack LLM apps made mega-easy with LangChain and FastAPI
👍 validate and correct the outputs of LLMs using guardrails
- For consistent output from vicuna 13b
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[D] Is all the talk about what GPT can do on Twitter and Reddit exaggerated or fairly accurate?
not vouching for it, but I know this is at least a thing that exists and I like the general idea: https://github.com/shreyar/guardrails
- Introducing Agents in Haystack: Make LLMs resolve complex tasks
What are some alternatives?
ai-chatbot - A full-featured, hackable Next.js AI chatbot built by Vercel
lmql - A language for constraint-guided and efficient LLM programming.
chat-ai-desktop - Unofficial ChatGPT desktop app for Mac & Windows menubar using Tauri & Rust
GPTCache - Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
free-api-endpoints - a list of API endpoints to interact with AI models [Moved to: https://github.com/0ut0flin3/AI-models-api-endpoints]
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
AI-models-api-endpoints - a list of API endpoints to interact with AI models
truss - Assertions micro-library for Clojure/Script
ChineseAiDungeonChatGPT - 中文版的ai地牢，直接使用的openai的ChatGPT api作为讲故事的模型。
dynamic-gpt-ui - Dynamic UI generation with GPT-3 (OpenAI)
RasaGPT - 💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram
ghostwheel - Hassle-free inline clojure.spec with semi-automatic generative testing and side effect detection