Integrations to the Neural Nexus Platform
- Create Personal Avatars of Yourself and Be Remembered
- Perform Data Analysis On Your Personal Data To Discover Insights and Trends
- Handle Messages With Your Learned Writing Style and Tone of Voice
- And More!
At Afterlife Systems, we are creating A.I. reconstructed personalities of real-world individuals through fine-tuning and few shot prompting data pipe-lined from social media, told through personal stories of our users, or uploaded by the users themselves.
Typical use cases include:
- Recreating experiences of communicating with people no longer with us to celebrate the best of their existence and to continue experiencing their presence.
- Creating entertaining experiences of interacting with public-domain characters.
- Creating your own avatar to share or for insights into your own personal health and well-being by ingesting health-kit data such as nutrition, sleep, financial data, time-tracking data, browsing history, and physical activity.
- Creating messages in your own custom tone of voice for use in email responses, tweet responses, and custom git logs or to assist in writing in your own vocal style. Create your own custom git commits!
- Creating simple public avatars for context-oriented responses from the Project Gutenberg Bible to offer the world a safe, comforting place for their prayers with personal responses from the Bible or other religious text.
- Creating non-denominational motivational public speaker avatars with their consent for personal on-demand contextual self help guidance.
- Future integration with neural data for thought-to-media and media-to-thought applications (thought-to-image, image-to-neural waveform, etc.)
We have recently been working towards:
- Developing pipelines to pull, clean, and upload data from social media or uploaded files.
- Creating statistical proof of the authenticity of created responses to evaluate authenticity against an individual's dataset of direct quotes or an unmodified chatgpt reponse.
- Creating API endpoints to allow use of the Langgraph graph through integrations with other social media bot interfaces such as Slack, Discord, Twitter, and Twitch among others for moderation or any of the above listed features of the application.
- Optimizing the architecture to allow for a scalable API interface to support the requests of multiple simultaneous users.
- Fine-tuning adapters to attach to meta-llama models.
- Creating Social Media Integrations to interface with the Neural Nexus API
- Creating MCP connections to analyze data and communicate on account of the real-world user
