A platform for the creation and curation of Universes. Generate the rules and mechanics of your game world based on a stored database of Open Gaming License material to determine conflict resolution. Generate the setting and story from any content you upload, co-generate with GPT and Claude's assistance, or simply prompt the models to create whatever you're in the mood to play in and let them do the rest. Agent chains simulate the interactions between entities in your Universe -- kingdoms, factions, people, gods, planets, corporations, the weather -- anything that could happen in the setting of your Universe, you can generate an authentic simulation of the event using CAMEL agents and update the timeline of the world based on the outcome. Combine all these elements to create a truly living, breathing game world -- then, use generative models to bring it to life. Stable Diffusion generates art and scenery, Elevenlabs for professional voice acting, Claude 2 for long-form storytelling and long-term narrative management, MusicGen for a custom soundtrack. Play a solo scene, a campaign with your friends, or just use the Universe platform to inspire, create, curate, and share your own creations. The possibilities are Truly Endless.

Eleven Labs AI Hackathon

A fully autonomous AI-generated toolkit for playing, running, and generating a game. What kind of game? Any kind of game you want.

shadowy super coders

OpenAI is an AI research and deployment company

OpenAI

ElevenLabs is a voice technology research company, developing the most compelling AI speech software for publishers and creators.

ElevenLabs

Claude is your friendly and versatile AI language model that can assist you as a company representative, research assistant, creative partner, or task automator.

Anthropic Claude

Anthropic’s Constitutional AI training approach research focuses on developing AI systems safe by design  and aligned with human values.

Anthropic

CAMEL stands for Communicative Agents for "Mind" Exploration of Large Scale Language Model Society. The purpose of this framework is to enhance the collaboration among AI chat agents to achieve tasks with minimal human involvement.

CAMEL

Large language models (LLMs) have transformed the way we approach machine learning and artificial intelligence. These models are incredibly powerful, but their true potential lies in their ability to work in harmony with other sources of data and computation. This library has been developed to assist developers in building applications that combine LLMs with other technologies, allowing them to create truly intelligent and innovative products.

LangChain

Langchain

Auto-GPT is an experimental open-source application that showcases the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM 'thoughts' to autonomously achieve whatever goal you set.

Auto-GPT

Chroma is an AI-native open-source embedding database. The fastest way to build Python or JavaScript LLM apps with memory

Chroma

Generative Agents are computational software that simulate human behavior in interactive applications.

Generative Agents

Stable Diffusion is a latent text-to-image diffusion model capable of generating stylized and photo-realistic images. It is pre-trained on a subset of of the LAION-5B dataset and the model can be run at home on a consumer grade graphics card so everyone can create stunning art within seconds.

Stable Diffusion

Explore Stability AI, the vanguard of open source generative AI, empowering global creativity and innovation

Stability AI

The Universe

Our project aims to revolutionize the resume creation process by leveraging the power of AI Agents and web scraping. We understand that crafting a compelling resume can be a time-consuming and challenging task, and our tool is designed to simplify this process. By harnessing the capabilities of artificial intelligence and utilizing web scraping techniques, we have developed a custom resume creator that helps individuals create personalized resumes tailored to their unique skills, experiences, and career goals. Our AI Agents analyze user input, extract relevant information from online sources, and generate dynamic and industry-relevant content for each resume section. The result is a neatly formatted resume that stands out to potential employers and increases the chances of securing job opportunities. With user-friendly features, real-time editing options, and the ability to export and share resumes, our tool empowers users to confidently present their qualifications and achievements in a professional manner. Whether you're a seasoned professional or a career changer, our custom resume creator is here to support you in showcasing your potential and landing your dream job.

AI Agents Hackathon

Our project is a custom resume creation tool powered by AI Agents and web scraping. It simplifies resume writing by generating tailored resumes that align with job requirements, saving time and effort for job seekers.

SmartApply

GPT4All is an open-source ecosystem of on-edge large language models that run locally on consumer-grade CPUs, providing a powerful and customizable AI assistant.

gpt4all

Nomic's goal is to improve the explainability and accessibility of AI.

NomicAI

ChatGPT is a large language model trained by OpenAI to generate human-like text in a conversational style. It is a variant of the GPT-3 model, which was specifically designed to be used to generate text in response to user input. The ChatGPT model has been trained on a vast amount of text data, including conversations and other types of human-generated text, which allows it to generate text that is similar in style and content to human conversation. ChatGPT can be used to generate responses to questions, code, make suggestions, or provide information in a conversational manner, and it is able to do so in a way that is often indistinguishable from human-generated text. The initial model has been trained using Reinforcement Learning from Human Feedback (RLHF), using methods similar to InstructGPT, but with slight differences in the data collection setup. The model is trained using supervised fine-tuning, where human AI trainers provided conversations in which they played both sides—the user and an AI assistant. The trainers would have had access to model-written suggestions to help them compose their responses.

ChatGPT

GPT-3.5 stands for Generative Pre-trained Transformer and is fine-tuned version of GPT-3. It is an autoregressive language model that uses deep learning to produce human-like text. There are many models in GPT-3.5 family as gpt-3.5-turbo or gpt-3.5-turbo.

GPT-3.5

GPT-4 is OpenAI's 4th generation Generative Pre-trained Transformer. It is a multimodal large language model that uses deep learning to produce human-like text, accepting image and text inputs. GPT-4 is OpenAI's most advanced system, producing safer and more useful responses

GPT-4

Pitch Analyzer allows you to receive a complete pitch from a startup in text format, analyzes the content, and then simulates a conversation between a potential investor and the founder of the startup, answering all questions based on the delivered pitch, or inferring an answer if You can't find the appropriate information. All this is with the intention of preparing the founders for specific questions that they may receive at this type of event if they wish to attract and receive funds for their projects.
Currently, training to make good pitches for founders is complicated by time, sometimes at a cost that startups in earlier stages cannot, and sometimes not adapted to the types of startups that participate, therefore, Pitch Analyzer is the ideal solution for it.

Open Source AI Hackathon

Startup pitch analysis and generation of questions between an investor and a founder.

Pitch Analyzer

Consulting Trainer is a platform that, through LangChain and CAMEL, allows you to train your workers, mainly consultants, and auditors, in the interview processes that they have to do with clients when raising requirements.
To do this, the user must specify the objective of the interview (project being evaluated), define the role of the person interviewed (stakeholder, client, etc.), and the role that this user will play (consultant, developer, etc.). Next, Consulting Trainer will begin to display a dialog about how the interview process should be so that the user has the ability to understand this process and learn for its subsequent execution.
This project aims to make it easier for companies to train their junior professionals, who sometimes, due to conventional teaching methods, are not fully productive, and can now learn through a simulation, closer to reality.

Langchain x Autonomous GPT Agents Hackathon

Consulting Trainer is a project that teaches through AI your collaborators and workers to prepare for meetings with your clients.

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