***NOW SEEKING COMMUNITY AND REPO MANAGERS AND MODERATORS!!!(Actually, every role imaginable. If it doesn't exist yet, we'll make one for you!) Please contact me directly if available and interested! (@ [email protected])
Discord Server: https://discord.gg/KcjN2Mp6cS
FrontEnd Development: https://llvm.org/
LouminAIre-PS is not limited to traditional programming languages. Instead, it is a versatile platform designed to bridge the gap between humans and technology. It empowers users with various capabilities, including:
LangChain: This innovative component allows users to express their intentions and commands in a manner that's closer to human language, simplifying interaction with the platform.
Python: While not just a programming language, Python plays a crucial role within LouminAIre-PS, enabling advanced scripting and automation.
Project Overview: LouminAIre-PS (Prompt-Script) is not merely a traditional programming language but a groundbreaking platform for enabling individuals with a 9th Grade Reading Level or higher, regardless of their native language, to engage with coding and harness the power of technology. LouminAIre-PS transcends the boundaries of conventional coding by evolving into a multi-modal integratable SaaS Platform and application.
LouminAIre-PS aims to be an all-encompassing platform that enables users to communicate their ideas, concepts, and requirements in various formats, including text, images, videos, and more. Leveraging the capabilities of Large Language Models (LLMs), the platform can achieve a multitude of tasks, including:
Software Development: LouminAIre-PS can assist users in creating, designing, and developing software applications from start to finish. It provides suggestions, enhancements, and integrates with all known Operating Systems and Electronic Technological Devices.
Interoperability and Integrations: The platform seamlessly works with LLMs, Web3/5, Internet of Things, BIG DATA, and various other technologies, making it a versatile tool for a wide range of applications.
Key Features Accessibility: LouminAIre-PS remains committed to its goal of being accessible to users with a 9th Grade Reading Level or higher, ensuring that programming is inclusive and empowering for all.
Readability: The platform prioritizes readability, making it user-friendly even for beginners. Its interface is designed to be intuitive and straightforward.
Multilingual Support: LouminAIre-PS is built to support multiple languages, breaking down language barriers and allowing users from diverse linguistic backgrounds to benefit from its capabilities.
Universal Comprehension: With its clear and straightforward syntax, LouminAIre-PS aims to be easily understood by users across cultures and educational levels.
Getting Started Note: LouminAIre-PS is currently in a pre-launch stage, and detailed instructions for installation and usage will be provided when it becomes available.
Stay tuned for updates and join us on this exciting journey as we revolutionize the way users interact with technology!
Contributing:
Contributions to LouminAIre-PS are welcome! Whether you want to report a bug, suggest an improvement, or contribute code, please refer to our guidelines for contributing. Together, we can make LouminAIre-PS even better.
Current and Potential LLM Integrations:
BERT: Introduced by Google in 2018, it features 342 million parameters and was pre-trained on a large corpus of data for query understanding in Google search.
Gorilla: https://github.com/ShishirPatil/gorilla - Gorilla enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla comes up with the semantically- and syntactically- correct API to invoke.
Falcon 40B: Developed by the Technology Innovation Institute, it is a transformer-based, causal decoder-only model available in different parameter sizes and is open source.
Galactica: Meta's LLM trained on academic material, generating AI "hallucinations" that were deemed unsafe due to their authoritative tone.
GPT-3.5: An upgraded version of GPT-3 with fewer parameters, powered ChatGPT, and integrated into Bing search.
GPT-4: Released in 2023, GPT-4 is the largest model in OpenAI's GPT series, potentially close to artificial general intelligence (AGI) capabilities.
LaMDA: Google's LLM family pre-trained on a large text corpus, attracting attention for claims of sentience.
Llama(2): Meta AI's LLM available in various parameter sizes, open source, and built on a transformer architecture. (*likely not eligible due to licensing limitations of multi-LLM interoperation clauses)
Orca: Microsoft's LLM with 13 billion parameters, aiming to imitate reasoning procedures achieved by larger models like GPT-4.
PaLM: Google's 540 billion parameter transformer-based model specializing in reasoning tasks and available in fine-tuned versions.
Phi-1: Microsoft's LLM with 1.3 billion parameters, trained on high-quality data for Python coding.
StableLM: An open-source series of LLMs developed by Stability AI, striving to be transparent and supportive.
Claude(2): Anthopic, a spinoff team and LLM from the OpenAI collective.
License: LouminAIre-PS is released under the MIT License, granting you the freedom to use, modify, and distribute the language according to the terms of the license.
Acknowledgements; We would like to express our gratitude to the open-source community for their continuous support and contributions to LouminAIre-PS. Your feedback and involvement are highly appreciated.
Contact: If you have any questions, feedback, or inquiries regarding LouminAIre-PS, please reach out to us at [[email protected]]
Let's make coding accessible and inclusive with LouminAIre-PS!
Copyright 2023 (& beyond, in perpetuity...) David Youngblood (Just some person, trying to make something cool happen...)
LouminAIre-PS Open-Source Project License (based on PSFL)
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal with the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
-
Redistributions in source code form, in whole or in part, must retain the above copyright notice, this list of conditions, and the following disclaimer.
-
Redistributions in binary form, compiled executables, or documentation generated from the Software must reproduce the above copyright notice, this list of conditions, and the following disclaimer in the documentation and/or other materials provided with the distribution.
-
Any modifications or enhancements made to the Software must be contributed back to the LouminAIre-PS project and made available under the terms of this license.
-
Redistributions of any form whatsoever must retain the following acknowledgment: "This product includes software developed by the LouminAIre-PS project: https://github.com/LouminAIre-PS."
-
The LouminAIre-PS project, including its contributors and copyright holders, shall not be liable for any direct, indirect, incidental, special, exemplary, or consequential damages arising in any way out of the use of this Software, even if advised of the possibility of such damage.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.