Farshid Pirahansiah

Welcome to my website! I’m Farshid Pirahansiah, a PhD holder specializing in computer vision and LLMs. My expertise lies in Python and C++, and I’ve contributed to numerous projects and publications in these fields. Here, you’ll find a blend of Artificial Intelligence, practical application, and innovation. Explore our LLM projects, delve into insightful blogs, and understand complex topics through our mind-maps. Stay informed with our newsletter, discover our diverse projects and products, and benefit from expert startup consulting.

Seeking Position in Berlin, Germany only:

• Technical Lead in R&D for Computer Vision
• End-to-end generative AI pipeline for cloud-based solutions
• Multimodal LLMs for image processing applications
• Large Vision Models (LVMs) for edge computing

“Please note: I am currently not seeking opportunities through recruiters.”

Image Processing GPT

• GPTs: Computer Vision Developer
• Expert in Python, OpenCV for image processing and computer vision applications.
• https://chat.openai.com/g/g-vHELtCqJq-computer-vision-developer

AI LLMs

• Blog
  • IoT, Generative AI and Edge Computing
  • GPT Store’s Top 10 Custom ChatGPT Variants
  • Mind-Maps
    • Mind-Maps-Html
      • Prompt Engineering for ChatGPT
      • Advanced Image Processing for IoT
  • Newsletter
    • Newsletter-ChatGPT-4-Vision
    • GPT Store’s Top 10 Exclusive ChatGPT Models
• Projects & Products
  • GPT Store’s Premier Top 10 ChatGPT Editions
  • Source Code
    • List of Books
    • CPP
    • MATLAB
    • Python
  • Books
  • Codes
• Startup Consulting and Coaching
  • Startup Services & Solutions
  • Accelerating
  • MLOps
  • Cloud-Based Solutions
  • PyOrganize
• About
  • Ads
  • Public Privacy Policy
  • Tiziran

Update April 2024:

• AI
• My research about camera calibration:
• AI Tools
• My Note LLMs
• On-Device Training: Efficient training on the edge with ONNX Runtime
• Computer Vision on Edge
• Params Memory
• RAG for vision LLMs
• VSCode
• Docker on Jetson Nano
• fine tuning large vision models
• For underfitting (reducing bias):
• Large Language Models in Computer Vision and Image Processing
• LLMs on GPU
• Ensemble learning
• How to Win Kaggle ML Competitions