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| 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 | |