OpenAdapt
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Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
### Feature request Application should have no noticeable impact on users’ machine performance (CPU, memory, I/O, Network), including mouse flickering. Can passively capture activity with 99%+ uptime without any user...
### Feature request We would like to use https://github.com/autodistill/autodistill to train a more efficient object detector for each recording. ### Motivation Reduce segmentation latency
### Feature request We would like to implement a local multimodal completion adapter via https://github.com/dusty-nv/NanoLLM ### Motivation Reduce latency, support offline mode
### Feature request We would like to implement a local multimodal completion adapter via https://huggingface.co/qnguyen3/nanoLLaVA Related: - https://github.com/OpenAdaptAI/OpenAdapt/issues/622 - https://github.com/dusty-nv/NanoLLM/issues/2 ### Motivation Reduce latency, support offline mode
### Feature request https://www.reka.ai/news/reka-core-our-frontier-class-multimodal-language-model ### Motivation _No response_
### Feature request  ### Motivation _No response_
### Feature request https://github.com/jxnl/instructor ### Motivation _No response_
### Feature request From https://ateam-members.slack.com/archives/C050HTZ8HE0/p1708072362007929: > Google released Gemini 1.5 and tested it with 10 million tokens: https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/#sundar-note Gemini v1 API documentation: https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/gemini#sample_requests PROBLEM STATEMENT: We wish to implement an...
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