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@@ -8,4 +8,29 @@ sdk_version: 1.30.0
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  app_file: app.py
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  license: mit
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  app_file: app.py
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  license: mit
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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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+ 1. Mistral-7B-Instruct
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+ 2. Llama2-7B
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+ 3. Mixtral-8x7B-Instruct
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+ 4. Google Gemma-7B
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+ 5. OpenAI Whisper Small En
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+ 6. OpenAI GPT-4o, Whisper-1
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+ 7. ArXiV Embeddings
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+ The techniques below which are not ML models but AI include:
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+ 1. Speech Synthesis using browser technology
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+ 2. Memory for semantic facts, and episodic emotional and event time series memories
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+ 3. 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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+ 5. File and metadata integration combining text, audio, image, and video
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