MLA 021 Databricks: Cloud Analytics and MLOps

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1. 

   S1 · E58 · 7 May 2025 · 51 min

   MLG 034 Large Language Models 1

   Explains language models (LLMs) advancements. Scaling laws - the relationships among model size, data size, and compute - and how emergent abilities such as in-context learning, multi-step reasoning, and instruction following arise once certain scaling thresholds are crossed. The evolution of the transformer architecture with Mixture of Experts (MoE), describes the three-phase training process culminating in Reinforcement Learning from Human Feedback (RLHF) for model alignment, and explores advanced reasoning techniques such as chain-of-thought prompting which significantly improve complex…

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   S1 · E57 · 13 Apr 2025 · 33 min

   MLA 024 Agentic Software Engineering: Specs, Verification, and the Review Loop

   How working engineers ship with coding agents: issues an agent can verify, plan mode before code, a verification loop with a browser in it, agent review of agent code, worktrees and CI, cost discipline, and where agents still fail. Links Try a walking desk - stay healthy & sharp while you learn & code More OCDevel shows - this one has siblings, each on its own subject and produced the same way Third and last episode of the vibe-coding sequence. Vibe Coding in 2026 picked an agent; Inside a Coding Agent explained the mechanics. This one is the practice: how working engineers ship real…

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   S1 · E56 · 13 Apr 2025 · 34 min

   MLA 023 Inside a Coding Agent: Context, Instructions, Hooks, Skills, MCP

   A coding agent is a loop appending to a context window, and the window is what runs out. Instruction files, permissions, hooks, skills, MCP, subagents and memory explained as one mechanism, mapped across Claude Code, Codex and OpenCode. Links Try a walking desk - stay healthy & sharp while you learn & code More OCDevel shows - this one has siblings, each on its own subject and produced the same way Second of three episodes on coding agents: how Claude Code, Codex, OpenCode and pi handle context, instruction files, permissions, hooks, skills, MCP, subagents and memory. Claude Code is the…

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   S1 · E55 · 9 Feb 2025 · 28 min

   MLA 022 Vibe Coding: Codex vs Claude Code vs Antigravity vs Grok

   What a coding agent actually is, and how Claude Code, OpenAI Codex, Google Antigravity and xAI's Grok Build differ in philosophy rather than features. Plus open harnesses pi and OpenCode, the open-weight coders, and a decision rule by constraint. Links Try a walking desk - stay healthy & sharp while you learn & code More OCDevel shows - this one has siblings, each on its own subject and produced the same way First of three episodes on vibe coding: the field of coding agents (Claude Code, OpenAI Codex, Google Antigravity, Grok Build, pi, OpenCode) as of late 2026 and how to choose one. The…

5. 

   S1 · E54 · 9 Feb 2025 · 43 min

   MLG 033 Transformers

   Links : Notes and resources at ocdevel.com/mlg/33 3Blue1Brown videos: https://3blue1brown.com/ Try a walking desk stay healthy & sharp while you learn & code Try Descript audio/video editing with AI power-tools Background & Motivation RNN Limitations: Sequential processing prevents full parallelization—even with attention tweaks—making them inefficient on modern hardware. Breakthrough: "Attention Is All You Need" replaced recurrence with self-attention, unlocking massive parallelism and scalability. Core Architecture Layer Stack: Consists of alternating self-attention and feed-forward (MLP)…

6. 

   S1 · E52 · 29 Jan 2022 · 1 hr 9 min

   MLA 020 Kubeflow and ML Pipeline Orchestration on Kubernetes

   Machine learning pipeline orchestration tools, such as SageMaker and Kubeflow, streamline the end-to-end process of data ingestion, model training, deployment, and monitoring, with Kubeflow providing an open-source, cross-cloud platform built atop Kubernetes. Organizations typically choose between cloud-native managed services and open-source solutions based on required flexibility, scalability, integration with existing cloud environments, and vendor lock-in considerations. Links Notes and resources at ocdevel.com/mlg/mla-20 Try a walking desk stay healthy & sharp while you learn & code…

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   S1 · E51 · 13 Jan 2022 · 1 hr 15 min

   MLA 019 Cloud, DevOps & Architecture

   The deployment of machine learning models for real-world use involves a sequence of cloud services and architectural choices, where machine learning expertise must be complemented by DevOps and architecture skills, often requiring collaboration with professionals. Key concepts discussed include infrastructure as code, cloud container orchestration, and the distinction between DevOps and architecture, as well as practical advice for machine learning engineers wanting to deploy products securely and efficiently. Links Notes and resources at ocdevel.com/mlg/mla-19 Try a walking desk stay…

8. 

   S1 · E49 · 6 Nov 2021 · 1 hr 5 min

   MLA 017 AWS Local Development Environment

   AWS development environments for local and cloud deployment can differ significantly, leading to extra complexity and setup during cloud migration. By developing directly within AWS environments, using tools such as Lambda, Cloud9, SageMaker Studio, client VPN connections, or LocalStack, developers can streamline transitions to production and leverage AWS-managed services from the start. This episode outlines three primary strategies for treating AWS as your development environment, details the benefits and tradeoffs of each, and explains the role of infrastructure-as-code tools such as…

9. 

   S1 · E48 · 5 Nov 2021 · 1 hr

   MLA 016 AWS SageMaker MLOps 2

   SageMaker streamlines machine learning workflows by enabling integrated model training, tuning, deployment, monitoring, and pipeline automation within the AWS ecosystem, offering scalable compute options and flexible development environments. Cloud-native AWS machine learning services such as Comprehend and Poly provide off-the-shelf solutions for NLP, time series, recommendations, and more, reducing the need for custom model implementation and deployment. Links Notes and resources at ocdevel.com/mlg/mla-16 Try a walking desk stay healthy & sharp while you learn & code Model Training and…

10. 

    S1 · E47 · 4 Nov 2021 · 48 min

    MLA 015 AWS SageMaker MLOps 1

    SageMaker is an end-to-end machine learning platform on AWS that covers every stage of the ML lifecycle, including data ingestion, preparation, training, deployment, monitoring, and bias detection. The platform offers integrated tools such as Data Wrangler, Feature Store, Ground Truth, Clarify, Autopilot, and distributed training to enable scalable, automated, and accessible machine learning operations for both tabular and large data sets. Links Notes and resources at ocdevel.com/mlg/mla-15 Try a walking desk stay healthy & sharp while you learn & code Amazon SageMaker: The Machine Learning…