2018 Database SQL 
Dataconomy
MAY 27, 2024
Thankfully, a new era is beginning to dawn, carried on the winds of change that gusted after the Cambridge Analytica scandal came to light in 2018. Interestingly, storage on Space and Time’s decentralized network is completely free and data is encrypted in-database for second-to-none security.
NOVEMBER 24, 2023
This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.
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AWS Machine Learning Blog
SEPTEMBER 19, 2023
For structured data, the agent uses the SQL Connector and SQLAlchemy to analyze databases, which includes Amazon Athena. Session(region_name=region_name) athena_client = session.client('athena') database=database_name table=table_Name. It can query a stocks database to answer questions on stocks.
APRIL 16, 2025
Solution overview The AI-powered asset inventory labeling solution aims to streamline the process of updating inventory databases by automatically extracting relevant information from asset labels through computer vision and generative AI capabilities. The function updates the asset inventory database with the new extracted data.
AWS Machine Learning Blog
NOVEMBER 26, 2024
Task 1: Query generation from natural language This task’s objective is to assess a model’s capacity to translate natural language questions into SQL queries, using contextual knowledge of the underlying data schema. Following these examples, the model is then prompted to generate the SQL query for a question of interest.
AWS Machine Learning Blog
MARCH 14, 2024
We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. The SQL is run by Amazon Athena to return the relevant data. Our final solution is a combination of these text-to-SQL and text-RAG approaches. The following table contains some example responses.
AWS Machine Learning Blog
JUNE 26, 2024
Analysts need to learn new tools and even some programming languages such as SQL (with different variations). Action groups – Action groups are interfaces that an agent uses to interact with the different underlying components such as APIs and databases.
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