newsletterJuly 4, 2026·Towards Data Science

Setting Up Your Own Large Language Model

Still a long way to go, but the future is promising The post Setting Up Your Own Large Language Model appeared first on Towards Data Science.

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•Still a long way to go, but the future is promising The post Setting Up Your Own Large Language Model appeared first on Towards Data Science.
•This story was reported by Towards Data Science, covering developments in the newsletter space.
•AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage.

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From Prototype to Production: The Architecture Behind Secure & Governed AI Agents

Building the Responsible AI, security, and governance layers required for enterprise-ready agents The post From Prototype to Production: The Architecture Behind Secure & Governed AI Agents appeared first on Towards Data Science.

Towards Data Science

Building Enterprise Agent Systems that People can Trust, Verify and Improve

5 principles that determine whether an agent system succeeds in production, explained through one I built for a $100M+ company. The post Building Enterprise Agent Systems that People can Trust, Verify and Improve appeared first on Towards Data Science.

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Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used

Adding more communication pathways between agents doesn’t necessarily improve multi-agent performance. In a controlled, reproducible experiment across 50 runs, recovery remained remarkably stable from 20% to 100% relationship density. But as the network became denser, the fraction of edges actually

Towards Data Science

Ten Is Not a Hundred

The number that fooled every hallucination detector The post Ten Is Not a Hundred appeared first on Towards Data Science.

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Setting Up Your Own Large Language Model

Key Takeaways

Related Articles

From Prototype to Production: The Architecture Behind Secure & Governed AI Agents

Building Enterprise Agent Systems that People can Trust, Verify and Improve

Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used

Ten Is Not a Hundred

Discussion

Setting Up Your Own Large Language Model

Key Takeaways

Related Articles

From Prototype to Production: The Architecture Behind Secure & Governed AI Agents

Building Enterprise Agent Systems that People can Trust, Verify and Improve

Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used

Ten Is Not a Hundred

Discussion

Related Articles

Towards Data Science
From Prototype to Production: The Architecture Behind Secure & Governed AI Agents
Building the Responsible AI, security, and governance layers required for enterprise-ready agents The post From Prototype to Production: The Architecture Behind Secure & Governed AI Agents appeared first on Towards Data Science.

Towards Data Science
Building Enterprise Agent Systems that People can Trust, Verify and Improve
5 principles that determine whether an agent system succeeds in production, explained through one I built for a $100M+ company. The post Building Enterprise Agent Systems that People can Trust, Verify and Improve appeared first on Towards Data Science.

Towards Data Science
Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used
Adding more communication pathways between agents doesn’t necessarily improve multi-agent performance. In a controlled, reproducible experiment across 50 runs, recovery remained remarkably stable from 20% to 100% relationship density. But as the network became denser, the fraction of edges actually

Towards Data Science
Ten Is Not a Hundred
The number that fooled every hallucination detector The post Ten Is Not a Hundred appeared first on Towards Data Science.