Ahead of AI

Cadence

Monthly

Latest

2026-10-24

By

Sebastian Raschka, PhD

Based on

12 recent issues

• Covers: Machine learning research, LLM architectures, coding agents, reasoning models, text classification, and AI implementation tutorials.
• For: Machine learning engineers, AI researchers, and technical software practitioners.
• Best for: AI practitioners seeking deep technical breakdowns of machine learning architectures and research papers.
• Skip if: Non-technical business executives seeking high-level AI market summaries or non-technical business strategy.

Start with

• Building Reasoning Models from the Ground Up: A Full Video Course: Explains how reasoning models work and methods to build and control reasoning effort.
• Using Local Coding Agents: Shows how to set up a local coding agent stack using open-source tools.
• Components of A Coding Agent: Covers the overall technical design and implementation of coding agents and agent harnesses.

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