Unite.AI

AUGUST 15, 2024

Under the academic leadership of Turing Award winner Michael Stonebraker, the question the team were investigating was “can we link data records across hundreds of thousands of sources and millions of records.” Bad data for them could mean a provider gets more shifts than they can handle, leading to burnout.

Machine Learning 144

Machine Learning Computer Scientist LLM Large Language Models 144

AWS Machine Learning Blog

DECEMBER 19, 2024

However, the performance of these models is heavily influenced by the data used during the training process. In this blog post, we provide an introduction to preparing your own dataset for LLM training. Its rare to already have access to text data that can be readily processed and fed into an LLM for training.

LLM 88

LLM Machine Learning Natural Language Processing ML 88

Flipboard

NOVEMBER 27, 2024

In the context of enterprise data asset search powered by a metadata catalog hosted on services such Amazon DataZone, AWS Glue, and other third-party catalogs, knowledge graphs can help integrate this linked data and also enable a scalable search paradigm that integrates metadata that evolves over time. account } WHERE { ?asset

Metadata 149

Metadata Auto-complete Data Discovery ML Engineer 149

Bugra Akyildiz

FEBRUARY 16, 2025

By focusing on applications like AI-generated ad creatives, the framework enables self-interested LLM agents to influence joint outputs through strategic bidding while maintaining computational efficiency and incentive compatibility. a word or phrase) as a decision point where LLM agents bid to influence the next token’s selection.

LLM 52

LLM Python ETL Prompt Engineer 52