Pointers

Provenance in AI:

  1. Why It Matters for AI Engineers – Part 1
  2. Tracking AI Lineage with Signed Provenance Logs in Python – Part 2
  3. Building a Provenance Graph with Neo4j – Part 3
  4. Auto-Capturing Provenance with MLflow and W3C PROV-O in PyTorch Pipelines – Part 4
  5. Navigating AI Risks with NIST’s AI Risk Management Framework (AI RMF)

My Favourite Books

  1. Python Machine Learning – Second Edition by Sebastian Raschka
  2. Dive into Deep Learning by Aston Zhang et. al.
  3. Hands-On Large Language Models: Language Understanding and Generation by Jay Alammar

My Favourite Courses

  1. Machine Learning Specialization by Emily Fox & Carlos Guestrin @Coursera
  2. Machine Learning Specialization – Stanford @ Coursera
  3. Deep Learning Specialization – Deeplearning.AI @ Coursera

Whom I follow

  1. Sebastian Raschka
  2. Andrew Ng
  3. Emily Fox
  4. Carlos Guestrin

Papers Log

  1. GraphRAG
  2. LLM Hallucinations
  3. Others

Exception Log

  1. ImportError: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the ‘ssl’ module is compiled with …
    Solution: https://stackoverflow.com/questions/76187256/importerror-urllib3-v2-0-only-supports-openssl-1-1-1-currently-the-ssl-modu/76187415#76187415
  2. TypeError: can’t convert cuda:0 device type tensor to numpy. User Tensor.cpu() to copy the tensor to host memory first
    Solution: data_np = res[0].boxes.data.numpy() converted to data_np = res[0].boxes.data.numpy()
  3. pytorch torchvision.datasets.ImageFolder FileNotFoundError: Found no valid file for the classes .ipynb_checkpoints
    Solution: https://stackoverflow.com/questions/68229246/pytorch-torchvision-datasets-imagefolder-filenotfounderror-found-no-valid-file/68474648#68474648