Remove Data Platform Remove ETL Remove LLM
article thumbnail

Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning Blog

To scale ground truth generation and curation, you can apply a risk-based approach in conjunction with a prompt-based strategy using LLMs. Its important to note that LLM-generated ground truth isnt a substitute for use case SME involvement. To convert the source document excerpt into ground truth, we provide a base LLM prompt template.

article thumbnail

Improving air quality with generative AI

AWS Machine Learning Blog

Cost-effective – The solution should only invoke LLM to generate reusable code on an as-needed basis instead of manipulating the data directly to be as cost-effective as possible. LLMs excel at writing code and reasoning over text, but tend to not perform as well when interacting directly with time-series data.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning Blog

RAG is a methodology to improve the accuracy of LLM responses answering a user query by retrieving and inserting relevant domain knowledge into the language model prompt. Tuning chunking and indexing in the retriever makes sure the correct content is available in the LLM prompt for generation.

article thumbnail

Why Software Engineers Should Be Embracing AI: A Guide to Staying Ahead

ODSC - Open Data Science

So what are you waiting for? Get your pass today !

article thumbnail

TransOrg’s Cloud Data Engineering Services on AWS, GCP & Snowflake

TransOrg Analytics

Data Foundation on AWS Amazon S3: Scalable storage foundation for data lakes. AWS Lake Formation: Simplify the process of creating and managing a secure data lake. Amazon Redshift: Fast, scalable data warehouse for analytics. AWS Glue: Fully managed ETL service for easy data preparation and integration.

ETL 52
article thumbnail

TransOrg’s Cloud Data Engineering Services on AWS, GCP & Snowflake

TransOrg Analytics

Data Foundation on AWS Amazon S3: Scalable storage foundation for data lakes. AWS Lake Formation: Simplify the process of creating and managing a secure data lake. Amazon Redshift: Fast, scalable data warehouse for analytics. AWS Glue: Fully managed ETL service for easy data preparation and integration.

ETL 52
article thumbnail

Search enterprise data assets using LLMs backed by knowledge graphs

Flipboard

Read triples from the Neptune database and convert them into text format using an LLM hosted on Amazon Bedrock. Amazon Bedrock Knowledge Bases is configured to use the preceding S3 bucket as a data source to create a knowledge base. The following LLM models must be enabled. account } WHERE { ?asset asset "GlueTableAssetType".

Metadata 148