Everyone talks about AI risk at the model layer. Bias in training data. Hallucinations. Explainability. Model governance. Model monitoring. No one talks about the schema layer. And that’s exactly ...

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...

I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven enterprise solutions that integrate LLM. I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven ...

Existem várias ferramentas de IA e assistentes inteligentes que ajudam a criar diagramas de esquemas (schemas) para planejamento de sistemas, como bancos de dados, arquitetura de software e fluxos de ...

Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.

Microsoft is making it easier to migrate to Azure SQL by taking the grunt work out of schema setup. A new update to Azure Database Migration Service (DMS) introduces a built-in schema migration tool ...

In this tutorial, we’ll demonstrate how to enable function calling in Mistral Agents using the standard JSON schema format. By defining your function’s input parameters with a clear schema, you can ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Snowflake is overvalued based on reverse DCF analysis, but long-term investors should see good returns due to its strong financials and business model. Snowflake offers a scalable, cloud-native data ...

Not urgent, and can be simplified by a future addition to Caqti. It can be useful to store SQL code for schemas in external files, rather than including it in the application code, esp. when it ...