guardrails
git-genie
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guardrails | git-genie | |
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13 | 7 | |
3,284 | 48 | |
9.8% | - | |
9.9 | 7.6 | |
5 days ago | 5 months ago | |
Python | Python | |
Apache License 2.0 | - |
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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 :π€ Megabots - State-of-the-art, production ready full-stack LLM apps made mega-easy with LangChain and FastAPI
π 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
git-genie
- Show HN: git-genie: pre-commit hook that writes commit messages for you
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Show HN: Natural Language Git (Gitgpt)
This way my approach when I created a similar tool, called git-genie[0]. Itβs more of an educational tool first, explains the generared git command in detail.
[0] https://github.com/danthelion/git-genie
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git-genie can generate commit messages for you based on the actual diff & more!
Check it out here: https://github.com/danthelion/git-genie
- Show HN: git-genie can generate commit messages for you based on the actual diff
- git-genie, a natural language interface for git in the command line
- Show HN: Git-genie, a natural language interface for Git
What are some alternatives?
lmql - A language for constraint-guided and efficient LLM programming.
gpt-commit - Generate commit messages using ChatGPT
GPTCache - Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
gitgpt - A natural language command line git assistant
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
askleo
dynamic-gpt-ui - Dynamic UI generation with GPT-3 (OpenAI)
RasaGPT - π¬ 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
truss - Assertions micro-library for Clojure/Script
codereview.ai - AI-powered code reviews
ghostwheel - Hassle-free inline clojure.spec with semi-automatic generative testing and side effect detection
empirical-philosophy - A collection of empirical experiments using large language models and other neural network architectures to test the usefulness of metaphysical constructs.