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metadata
title: 🧠Omni GPT 4o Text Audio Image Video
emoji: 🐠🔬🧠
colorFrom: gray
colorTo: blue
sdk: streamlit
sdk_version: 1.34.0
app_file: app.py
pinned: true
license: mit

GPT-4o Documentation: https://cookbook.openai.com/examples/gpt4o/introduction_to_gpt4o

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

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

Models Used:

Mistral-7B-Instruct Llama2-7B Mixtral-8x7B-Instruct Google Gemma-7B OpenAI Whisper Small En OpenAI GPT-4o, Whisper-1 ArXiV Embeddings The techniques below which are not ML models but AI include:

Speech Synthesis using browser technology Memory for semantic facts, and episodic emotional and event time series memories 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 File and metadata integration combining text, audio, image, and video This app also merges common theories in cognitive AI, AI with python libraries (e.g. NLTK, SKLearn).

The intent is to demonstrate SOTA AI/ML and combinations of Function-Input-Output for interoperability and knowledge management.

This space also serves as an experimental test bed for new technologies mixing it in with old for comparison and integration.

--Aaron