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An open source implementation of OpenAI's ChatGPT Code interpreter - GitHub - ricklamers/gpt-code-ui: An open source implementation of OpenAI's ChatGPT Code interpreter
SudoLang LLM Support for VSCode. Contribute to paralleldrive/sudolang-llm-support development by creating an account on GitHub.
Stable Diffusion web UI. Contribute to AUTOMATIC1111/stable-diffusion-webui development by creating an account on GitHub.
Lightweight language for controlling OpenAI Chat API generations - GitHub - opensouls/LMYield: Lightweight language for controlling OpenAI Chat API generations
LMYield enables you to guide OpenAI's Chat API generations into arbitrary output patterns, and is specifically designed to enhance chain of thought prompting for agents.
The motivating concept behind LMYield is that for a given context, an agnetic entity will spawn some number of ordered, related chain of thoughts, and they should be yielded as a subscribable stream.
Features:
Simple, intuitive syntax, based on Handlebars templating. Rich output structure with speculative caching and multiple generations to ensure desired output structure. Designed specifically for agentic chain of thought. Typescript not python
A reference architecture for the LLM app stack. It shows the most common systems, tools, and design patterns used by AI startups and tech companies.
⚡ Lightweight language for controlling OpenAI Chat API generations ⚡
A lightweight language for yielding OpenAI Chat generations into an arbitrary schema. Latest version: 0.0.2, last published: 7 days ago. Start using socialagi-lmyield in your project by running `npm i socialagi-lmyield`. There are no other projects in the npm registry using socialagi-lmyield.
🤔 What is this? LMYield enables you to guide OpenAI's Chat API generations into arbitrary output patterns, and is specifically designed to enhance chain of thought prompting for agents.
The motivating concept behind LMYield is that for a given context, an agnetic entity will spawn some number of ordered, related chain of thoughts, and they should be yielded as a subscribable stream.
Features:
[x] Simple, intuitive syntax, based on Handlebars templating. [x] Rich output structure with speculative caching and multiple generations to ensure desired output structure. [x] Designed specifically for agentic chain of thought. [x] Typescript not python Quick Install $ npm install socialagi-lmyield
then
export OPENAI_API_KEY=... example usage
import LMYield, { LMYieldEvents } from "@socialagi/lmyield";
const lmProgram = `npm {{#context~}} {{! this block compiles to system in oai}}
{{personality}}
... {{~/context}
{{#entity~ name='xyz'}} {{! this block compiles to user in oai}} ... {{~
Natural Language Interfaces (NLIs) are revolutionary systems designed to facilitate human-computer interaction through voice or text…
Lemmy is libre software. Don't want to get abused? Keep Lemmy libre.
cross-posted from: https://lemmy.world/post/239081
Lemmy is software anyone can develop and everyone controls, libre software, which makes it very hard for Lemmy to abuse us. To keep it this way, share the ideas of software freedom.
- Always check its software license: always check it is libre software (video guide here).
- Also avoid service as a software substitute.
- Libre software plus decentralisation [federation or peer-to-peer] is ideal.
- Remember, 'open source' misses the point.
If we focus on warning against individual apps, we must repeat our time and effort everytime new malware appears. So, target a common property: its software license.
With proprietary software, we are not the user, we are the used.
