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Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: YOLO

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ATaylorAerospace/README.md

👋 Hi, I’m @ATaylorAerospace

💡 I’m interested in Commercial Aerospace, Computer Vision, Generative AI and Multimodal Medical Large Language Models

💫 I am looking to collaborate on projects involving multimodal LLM's and generative AI to create intelligent agents.

🤖 Am fine tuning Mistral 8b & LLaVA models with the QLoRA & Quantization methods, for Multimodal use cases.

👨🏽‍💻 Leveraging Google Vertex AI, Amazon Bedrock, GPT-4o, LangChain, Weaviate, Mem0, and Crew AI to build intelligent agents for healthcare and aerospace.

🚀 I’m always ready to chat about the Commercial Space Industry and Ion Propulsion

🔍 Ich suche nach entspannenden Gesprächen mit Muttersprachlern der Deutschen im 2024

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  1. HohmannHET HohmannHET Public

    Hohmann Transfer With Hall Effect Thrusters

    Python 1

  2. computer-vision-course computer-vision-course Public

    Forked from johko/computer-vision-course

    This repo is the homebase of a community driven course on Computer Vision with Neural Networks.

    Jupyter Notebook

  3. Med-Questions Med-Questions Public

    LLM Training Data Sets for Dissimiliar Medical Question Pairs

    Python 1

  4. crewAI crewAI Public

    Forked from crewAIInc/crewAI

    Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

    Python