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Tran Tien Van

AI Engineer & Web Designer | AI Agents · Web Apps · Data

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Ho Chi Minh City, Vietnam

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Ho Chi Minh City, Vietnam

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Tran Tien Van

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• 16h

LongCat-2.5 costs $0.30 per million input tokens. Claude Opus 5 lists at $5.00. I animated the numbers from Meituan's own launch table. It leads one agent test by 1.5 points and trails on two coding tests. In our worked example, the cheap model costs more once you count the...

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Tran Tien Van

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• Aug 24

The Hugging Face Hub crossed 3 million models, but 1.5% of repos get 99.2% of downloads. 'Available' and 'trustworthy' have separated. The MLOps fix: pin revisions, track provenance, run your own eval harness, scan for security. Here's the checklist and why concentration changes...

ai llm agent

vandatateam.com

Hugging Face Hub Hits 3 Million Models: MLOps Guide

The Hugging Face Hub just crossed 3 million models, but only 1.5% of them get 99.2% of downloads. Here is what that concentration really means for your MLOps.

Tran Tien Van

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• Aug 23

AWS Glue 6.0 is GA: 30% cheaper, full Apache Iceberg v3, and a Spark 4.1 runtime. The price cut needs no rewrite; the Iceberg v3 features are a menu you adopt table by table. Here's a safe migration order and what the 30% looks like in real dollars.

Full guide: https://vandatateam.com/blog/aws-glue-6

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vandatateam.com

AWS Glue 6.0: Price Cut, Iceberg v3, and Migration

AWS Glue 6.0 is GA with 30% lower pricing, full Apache Iceberg v3, and a Spark 4.1 runtime. Here is what changed and how to migrate your ETL jobs safely.

Tran Tien Van

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• Aug 19

Databricks' Precision Mode uses a multi-agent harness to extract complex documents. Here is how agentic document extraction works, and when it beats one prompt.

Databricks' new Precision Mode uses a multi-agent harness (decompose, extract in parallel, reconcile) for complex...

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vandatateam.com

Agentic Document Extraction: A Practical Guide for Teams

Databricks’ Precision Mode uses a multi-agent harness to extract complex documents. Here is how agentic document extraction works, and when it beats one prompt.

Tran Tien Van

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• Aug 17

Amazon S3 Files gives multi-agent AI pipelines a POSIX shared memory layer, so marketing and sales agents hand off work through files, not bloated prompts.

New breakdown: AWS's Amazon S3 Files gives multi-agent AI pipelines a POSIX shared file layer, so marketing and sales agents...

ai llm agent

vanaxity.com

Multi-Agent Orchestration on a Shared S3 File Layer

Amazon S3 Files gives multi-agent AI pipelines a POSIX shared memory layer, so marketing and sales agents hand off work through files, not bloated prompts.