guardrails
JARVIS
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guardrails | JARVIS | |
---|---|---|
13 | 52 | |
3,284 | 23,019 | |
9.8% | 1.3% | |
9.9 | 7.2 | |
6 days ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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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
đź‘Ť 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
JARVIS
- FLaNK Stack 26 February 2024
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Overview: AI Assembly Architectures
Jarvis: github.com/microsoft/JARVIS
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When will we get JARVIS?
You can build it yourself now. https://github.com/microsoft/JARVIS
- How to build the Geth (networked intelligence, decentralized AGI)
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Off-topic: What NVIDIA GPU do I need to run privateGPT or Alpaca-Lora for code translations, debugging, unit tests, etc?
https://github.com/microsoft/JARVIS (when ready says >=24GB VRAM)
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Apple announces Apple Silicon Mac Pro powered by M2 Ultra
Can be. There are projects that run fully locally like Microsoft’s Jarvis. https://github.com/microsoft/JARVIS
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April 2023
JARVIS, a system to connect LLMs with ML community (https://github.com/microsoft/JARVIS)
- Nvidia's GH200 AI supercomputers could build 'giant' AI models more powerful than GPT-4
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A Lightweight HuggingGPT Implementation w/ Langchain + Thoughts on Why JARVIS Fails to Deliver
HuggingGPT is a clever idea to boost the capabilities of LLM Agents, and enable them to solve “complicated AI tasks with different domains and modalities”. In short, it uses ChatGPT to plan tasks, select models from Hugging Face (HF), format inputs, execute each subtask via the HF Inference API, and summarise the results. JARVIS tries to generalise this idea, and create a framework to “connect LLMs with the ML community”, which Microsoft Research claims “paves a new way towards advanced artificial intelligence”.
- Edit videos through intuitive ChatGPT conversations
What are some alternatives?
lmql - A language for constraint-guided and efficient LLM programming.
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
GPTCache - Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
dynamic-gpt-ui - Dynamic UI generation with GPT-3 (OpenAI)
babyagi
truss - Assertions micro-library for Clojure/Script
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
ghostwheel - Hassle-free inline clojure.spec with semi-automatic generative testing and side effect detection
visual-chatgpt - Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models [Moved to: https://github.com/microsoft/TaskMatrix]
empirical-philosophy - A collection of empirical experiments using large language models and other neural network architectures to test the usefulness of metaphysical constructs.
dalai - The simplest way to run LLaMA on your local machine