newsletterJuly 26, 2026·Towards Data Science

How to Give an LLM Agent a Browser

Building a browser-use agent with OpenAI Agents SDK and Playwright MCP The post How to Give an LLM Agent a Browser appeared first on Towards Data Science.

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•Building a browser-use agent with OpenAI Agents SDK and Playwright MCP The post How to Give an LLM Agent a Browser 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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How to Efficiently Prompt Claude Code

Maximize your efficiency with Claude Code The post How to Efficiently Prompt Claude Code appeared first on Towards Data Science.

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How to Optimize Vector Search When RAM Gets Too Expensive: On-Disk vs. In-Memory ANN Indexes

Architecting cost-effective infrastructure by navigating the latency and storage trade-offs of HNSW, SPANN, and DiskANN The post How to Optimize Vector Search When RAM Gets Too Expensive: On-Disk vs. In-Memory ANN Indexes appeared first on Towards Data Science.

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The Fluid Simulator That Doesn’t Solve the Fluid Equations

I generated a Kármán vortex street without solving a single fluid equation. Here's how the Lattice Boltzmann Method gets there instead, derived from first principles, implemented in C++, and run on a supercomputer. The post The Fluid Simulator That Doesn’t Solve the Fluid Equations appeared first on

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Tabular LLMs: An Introduction to the Foundation Models That Predict Your Spreadsheet

Tabular foundation models predict the missing column of any spreadsheet zero-shot, the way an LLM completes text — and on the TabArena benchmark they now sit above fully tuned gradient-boosted trees. An introduction to how they work, an independent reproduction of the strongest open one, and a map o

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How to Give an LLM Agent a Browser

Key Takeaways

Related Articles

How to Efficiently Prompt Claude Code

How to Optimize Vector Search When RAM Gets Too Expensive: On-Disk vs. In-Memory ANN Indexes

The Fluid Simulator That Doesn’t Solve the Fluid Equations

Tabular LLMs: An Introduction to the Foundation Models That Predict Your Spreadsheet

Discussion

How to Give an LLM Agent a Browser

Key Takeaways

Related Articles

How to Efficiently Prompt Claude Code

How to Optimize Vector Search When RAM Gets Too Expensive: On-Disk vs. In-Memory ANN Indexes

The Fluid Simulator That Doesn’t Solve the Fluid Equations

Tabular LLMs: An Introduction to the Foundation Models That Predict Your Spreadsheet

Discussion

Related Articles

Towards Data Science
How to Efficiently Prompt Claude Code
Maximize your efficiency with Claude Code The post How to Efficiently Prompt Claude Code appeared first on Towards Data Science.

Towards Data Science
How to Optimize Vector Search When RAM Gets Too Expensive: On-Disk vs. In-Memory ANN Indexes
Architecting cost-effective infrastructure by navigating the latency and storage trade-offs of HNSW, SPANN, and DiskANN The post How to Optimize Vector Search When RAM Gets Too Expensive: On-Disk vs. In-Memory ANN Indexes appeared first on Towards Data Science.

Towards Data Science
The Fluid Simulator That Doesn’t Solve the Fluid Equations
I generated a Kármán vortex street without solving a single fluid equation. Here's how the Lattice Boltzmann Method gets there instead, derived from first principles, implemented in C++, and run on a supercomputer. The post The Fluid Simulator That Doesn’t Solve the Fluid Equations appeared first on

Towards Data Science
Tabular LLMs: An Introduction to the Foundation Models That Predict Your Spreadsheet
Tabular foundation models predict the missing column of any spreadsheet zero-shot, the way an LLM completes text — and on the TabArena benchmark they now sit above fully tuned gradient-boosted trees. An introduction to how they work, an independent reproduction of the strongest open one, and a map o