ssl_verify_hostname
guardrails
| ssl_verify_hostname | guardrails | |
|---|---|---|
| - | 13 | |
| 8 | 3,315 | |
| - | 5.1% | |
| 0.0 | 9.9 | |
| about 9 years ago | 6 days ago | |
| Erlang | Python | |
| MIT License | Apache License 2.0 |
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ssl_verify_hostname
We haven't tracked posts mentioning ssl_verify_hostname yet.
Tracking mentions began in Dec 2020.
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?
-
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?
-
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
-
[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?
ssl_verify_fun - Collection of ssl verification functions for Erlang
lmql - A language for constraint-guided and efficient LLM programming.
EmailGuard - Elixir library for detecting disposable (burner) or non-business email addresses.
GPTCache - Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Password - Flexible password policies for Elixir.
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
safetybox - Security oriented helper functions for Elixir
truss - Assertions micro-library for Clojure/Script
ca - 🛡️ CA: Certificate Authority. ДСТУ: 4145. ITU/IETF: 3279, 5755, X.501, X.509, X.511, X.520.
dynamic-gpt-ui - Dynamic UI generation with GPT-3 (OpenAI)
clamxir - CalmAV wrapper for elixir
ghostwheel - Hassle-free inline clojure.spec with semi-automatic generative testing and side effect detection