newsletterOctober 21, 2026·Towards Data Science

Decision Models in Action: Build a Hybrid LLM Workflow

A hands-on guide to building browser automation by combining decision models with LLMs. The post Decision Models in Action: Build a Hybrid LLM Workflow appeared first on Towards Data Science.

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Could On-Policy Self-Distillation Revolutionize Post-Training?

Teaching foundation models new skills without breaking them is hard. A new reinforcement learning-based approach might have the power to change that. The post Could On-Policy Self-Distillation Revolutionize Post-Training? appeared first on Towards Data Science.

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How to Turn Long-Running Python Simulations Into a Self-Service Platform

What I learned about queues, failure recovery, and reproducibility while building asynchronous workloads on AWS The post How to Turn Long-Running Python Simulations Into a Self-Service Platform appeared first on Towards Data Science.

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Spatial Reasoning in AI Models, Taken Apart

Grid puzzles that people solve almost perfectly show where language and vision models still break The post Spatial Reasoning in AI Models, Taken Apart appeared first on Towards Data Science.

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I Built a Pipeline to Track the Job Market I'm Trying to Break Into.

Building an incremental pipeline with dbt snapshots, and the API that quietly lied to me along the way. The post I Built a Pipeline to Track the Job Market I'm Trying to Break Into. appeared first on Towards Data Science.

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Decision Models in Action: Build a Hybrid LLM Workflow

Key Takeaways

Related Articles

Could On-Policy Self-Distillation Revolutionize Post-Training?

How to Turn Long-Running Python Simulations Into a Self-Service Platform

Spatial Reasoning in AI Models, Taken Apart

I Built a Pipeline to Track the Job Market I'm Trying to Break Into.

Discussion

Decision Models in Action: Build a Hybrid LLM Workflow

Key Takeaways

Related Articles

Could On-Policy Self-Distillation Revolutionize Post-Training?

How to Turn Long-Running Python Simulations Into a Self-Service Platform

Spatial Reasoning in AI Models, Taken Apart

I Built a Pipeline to Track the Job Market I'm Trying to Break Into.

Discussion

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Towards Data Science
Could On-Policy Self-Distillation Revolutionize Post-Training?
Teaching foundation models new skills without breaking them is hard. A new reinforcement learning-based approach might have the power to change that. The post Could On-Policy Self-Distillation Revolutionize Post-Training? appeared first on Towards Data Science.

Towards Data Science
How to Turn Long-Running Python Simulations Into a Self-Service Platform
What I learned about queues, failure recovery, and reproducibility while building asynchronous workloads on AWS The post How to Turn Long-Running Python Simulations Into a Self-Service Platform appeared first on Towards Data Science.

Towards Data Science
Spatial Reasoning in AI Models, Taken Apart
Grid puzzles that people solve almost perfectly show where language and vision models still break The post Spatial Reasoning in AI Models, Taken Apart appeared first on Towards Data Science.

Towards Data Science
I Built a Pipeline to Track the Job Market I'm Trying to Break Into.
Building an incremental pipeline with dbt snapshots, and the API that quietly lied to me along the way. The post I Built a Pipeline to Track the Job Market I'm Trying to Break Into. appeared first on Towards Data Science.