README.md

metadata

title: 🔬🧠ScienceBrain.AI
emoji: 🔬
colorFrom: red
colorTo: green
sdk: streamlit
sdk_version: 1.30.0
app_file: app.py
pinned: false
license: mit

This experimental multi agent mixture of expert system uses a variety of techniques and models to create different combinatorial AI solutions.

Models Used:

1. Mistral-7B-Instruct
2. Llama2-7B
3. Mixtral-8x7B-Instruct
4. Google Gemma-7B
5. OpenAI Whisper Small En
6. OpenAI GPT-4o, Whisper-1
7. ArXiV Embeddings

The techniques below which are not ML models but AI include:

1. Speech Synthesis using browser technology
2. Memory for semantic facts, and episodic emotional and event time series memories
3. Web integration using the q= standard for search linking allowing comparison of tech giant AI implementations: -Bing then Bing copilot with click 2 -Google which does an AI search now -Twitter, the new home for technology discoveries, AI Output and Grok -Wikipedia for fact checking -YouTube
4. File and metadata integration combining text, audio, image, and video