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--- |
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title: 🧠GPT 4o Omni Text Audio Image Video |
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emoji: 🐠🔬🧠 |
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colorFrom: gray |
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colorTo: blue |
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sdk: streamlit |
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sdk_version: 1.34.0 |
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app_file: app.py |
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pinned: true |
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license: mit |
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--- |
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GPT-4o Documentation: https://cookbook.openai.com/examples/gpt4o/introduction_to_gpt4o |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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This experimental multi agent mixture of expert system uses a variety of techniques and models to create different combinatorial AI solutions. |
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Models Used: |
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Mistral-7B-Instruct |
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Llama2-7B |
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Mixtral-8x7B-Instruct |
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Google Gemma-7B |
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OpenAI Whisper Small En |
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OpenAI GPT-4o, Whisper-1 |
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ArXiV Embeddings |
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The techniques below which are not ML models but AI include: |
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Speech Synthesis using browser technology |
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Memory for semantic facts, and episodic emotional and event time series memories |
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Web integration using the q= standard for search linking allowing comparison of tech giant AI implementations: |
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Bing then Bing copilot with click 2 |
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Google which does an AI search now |
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Twitter, the new home for technology discoveries, AI Output and Grok |
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Wikipedia for fact checking |
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YouTube |
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File and metadata integration combining text, audio, image, and video |
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This app also merges common theories in cognitive AI, AI with python libraries (e.g. NLTK, SKLearn). |
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The intent is to demonstrate SOTA AI/ML and combinations of Function-Input-Output for interoperability and knowledge management. |
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This space also serves as an experimental test bed for new technologies mixing it in with old for comparison and integration. |
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--Aaron |
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