MLA 030 AI Job Displacement & ML Careers
ML engineering demand remains high with a 3.2 to 1 job-to-candidate ratio, but entry-level hiring is collapsing as AI automates routine prog...
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Machine Learning Guide
This series aims to teach you the high level fundamentals of machine learning from A to Z. I'll teach you the basic intuition, algorithms, and math. We'll discuss languages and frameworks, d...
Episodes
20 of 60 episodesMLA 029 OpenClaw
OpenClaw is a self-hosted AI agent daemon that executes autonomous tasks through messaging apps like WhatsApp and Telegram using persistent...
MLA 028 AI Agents
AI agents differ from chatbots by pursuing autonomous goals through the ReACT loop rather than responding to turn-based prompts. While codin...
MLA 027 AI Video End-to-End Workflow
How to maintain character consistency, style consistency, etc in an AI video. Prosumers can use Google Veo 3's "High-Quality Chaining" for f...
MLA 026 AI Video Generation: Veo 3 vs Sora, Kling, Runway, Stable Video Diffusion
Google Veo leads the generative video market with superior 4K photorealism and integrated audio, an advantage derived from its YouTube train...
MLA 025 AI Image Generation: Midjourney vs Stable Diffusion, GPT-4o, Imagen & Firefly
The AI image market has split: Midjourney creates the highest quality artistic images but fails at text and precision. For business use, Ope...
MLG 036 Autoencoders
Auto encoders are neural networks that compress data into a smaller "code," enabling dimensionality reduction, data cleaning, and lossy comp...
MLG 035 Large Language Models 2
At inference, large language models use in-context learning with zero-, one-, or few-shot examples to perform new tasks without weight updat...
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 a...
MLA 024 Agentic Software Engineering
Agentic engineering shifts the developer role from manual coding to orchestrating AI agents that automate the full software lifecycle from t...
MLA 023 Claude Code Components
Claude Code distinguishes itself through a deterministic hook system and model-invoked skills that maintain project consistency better than...
MLA 022 Vibe Coding
Andrej Karpathy coined "vibe coding" in February 2025 - a year later, 41% of all code is AI-generated, agents run multi-hour tasks autonomou...
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...
MLA 021 Databricks: Cloud Analytics and MLOps
Databricks is a cloud-based platform for data analytics and machine learning operations, integrating features such as a hosted Spark cluster...
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 tr...
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...
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 mig...
MLA 016 AWS SageMaker MLOps 2
SageMaker streamlines machine learning workflows by enabling integrated model training, tuning, deployment, monitoring, and pipeline automat...
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, preparati...
MLA 014 Machine Learning Hosting and Serverless Deployment
Builders can scale ML from simple API calls to full MLOps pipelines using SST on AWS, utilizing Aurora pgvector for search and Spot instance...