atayloraerospace,A Taylor,github

👋 Hi, I’m @ATaylorAerospace

💡 I’m interested in Commercial Aerospace, Computer Vision and Generative AI

💫 I’m looking to collaborate on projects involving Multimodal Computer Vision and Generative AI

🤖 Am fine tuning Mistral 7b & LLaVA models with the QLoRA & Quantization methods, for Multimodal and Computer Vision use cases.

👨🏽‍💻 Using GPT-4 and Google Vertex AI / Gemini LLM's, LangChain / LangSmith, and Weaviate vector stores, am creating Generative AI Applications for Medical Question Answering and Aerospace domains.

✨ I’m currently working on Data projects utilizing DBT, Big Query and Looker amongst other modern data stack tools

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

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

A Taylor's Projects

computer-vision-course

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

crewai

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

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

flowise

Drag & drop UI to build your customized LLM flow

geo_optimization

Maximizing outlet thrust in a geostationary orbit (GEO) with minimal voltage

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.