Session 19 – Agentic AI DevOps: RAG Architecture
Agentic AI DevOps: RAG Architecture Recap of the previous session Zero-shot, few-shot, chain of thought and constraints and…
Session 18 – Agentic AI DevOps: Prompt Engineering
Agentic AI DevOps: Prompt Engineering Recap of the previous session An LLM is a decoder-only transformer that predicts…
Neural Network Training & Evaluation: Incident Ticket Routing (Classification)
Business Problem When a ticket reaches the service desk, someone reads its title and decides which team should…
Session 17 – Agentic AI DevOps: Calling LLMs from Python
Agentic AI DevOps: Calling LLMs from Python Recap of the previous session A model with a decoder is…
Session 16 – Agentic AI DevOps: Text Generation Models
Agentic AI DevOps: Text Generation Models Recap of the previous session Static embeddings capture the meaning of a…
Session 15 – Agentic AI DevOps: Transformer Architecture
Agentic AI DevOps: Transformer Architecture Recap of the previous session Static embeddings give each word one fixed vector.…
Session 14 – Agentic AI DevOps: Embeddings in Action
Agentic AI DevOps: Embeddings in Action Recap of the previous session Text must become numbers that carry meaning.…
Session 13 – Agentic AI DevOps: Embeddings Introduction
Agentic AI DevOps: Embeddings Introduction Recap of the previous session Statistical ML models (from scikit-learn) suit simple data.…
Session 12 – Agentic AI DevOps: Building Neural Network Architecture : Pytorch
Agentic AI DevOps: Building Neural Network Architecture : Pytorch Recap of the previous session A neuron is a…
Session 11 – Agentic AI DevOps: Neural Network Architecture
Agentic AI DevOps: Neural Network Architecture Recap of the previous session A trained model is saved as an…
Session 10 – Agentic AI DevOps: Model Inference – API and App
Agentic AI DevOps: Model Inference – API and App Recap of the previous session Model selection and tuning:…
