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A hands-on guide to building, deploying, and scaling AI/ML solutions. Includes tutorials on LLMs, real-time AI, data engineering, and model serving with FastAPI, MLflow, and Docker. Designed for developers and data scientists tackling real-world AI challenges.
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Merge pull request #2 from samlexrod/feature/SIL-6-lakeflow-medallion-pipeline
d1709deView on GitHubSIL-6: feat(agentic-engineering): add silver-databricks plugin with medallion architecture tutorial
61681d4View on GitHubMerge pull request #1 from samlexrod/SIL-1-create-tmux-multipane-team-agents-and-setup-command
33b6683View on GitHubSIL-1: fix(agentic-engineering): update setup/cleanup skills for databricks plugin
0ae8ae4View on GitHubSIL-1: feat(agentic-engineering): add setup and cleanup skills
24b13a5View on GitHubSIL-1: chore(tutorials): remove legacy tutorial content
f3ebd91View on GitHubImplement Daily Inference Pipeline for News Classifier
d218c88View on GitHubUpdate README.md to Revise Model Review and Promotion Process
47ac6c5View on GitHubUpdate README.md to Reflect Changes in Experiment Execution
aff68b5View on GitHubUpdate README.md for Challenger Promotion Workflow
ce5512cView on GitHubAdd news classifier scripts for model version checking and cleanup
5ce6d9bView on GitHubRefactor Makefile and scripts for MLflow compatibility
9768785View on GitHub314
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