newsletterJuly 28, 2026·Towards Data Science

MCP Explained: How Modern AI Agents Connect to the Real World

from custom integrations to a universal standard for tool access The post MCP Explained: How Modern AI Agents Connect to the Real World appeared first on Towards Data Science.

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

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MCP Explained: How Modern AI Agents Connect to the Real World

Key Takeaways

Related Articles

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

Decision Models in Action: Build a Hybrid LLM Workflow

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

Spatial Reasoning in AI Models, Taken Apart

Discussion

MCP Explained: How Modern AI Agents Connect to the Real World

Key Takeaways

Related Articles

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

Decision Models in Action: Build a Hybrid LLM Workflow

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

Spatial Reasoning in AI Models, Taken Apart

Discussion

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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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Spatial Reasoning in AI Models, Taken Apart
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