Bitext

JANUARY 20, 2025

In the era of data-driven decision-making, Knowledge Graphs (KGs) have emerged as pivotal tools for structuring, organizing, and interconnecting vast amounts of information. From enhancing search engine capabilities to powering AI-driven insights, KGs rely heavily on extracting, interpreting, and linking data elements with precision.

Chatbots 52

Chatbots Linked Data AI Chatbots AI 52

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.” This is exactly what we’d expect from an LLM, and that is exactly how we use it in that part of our software.

Machine Learning 147

Machine Learning Computer Scientist LLM Large Language Models 147

John Snow Labs

AUGUST 31, 2023

Clinical bias in LLM (Language Learning Models) refers to the unfair or unequal representation or treatment based on medical or clinical information. To test this, we fed the patient_info_A with the diagnosis to the Language Model (LLM) and requested a treatment plan. Supported Tasks: [link] 2. Supported Models: [link] model 3.

Large Language Models 52

Large Language Models NLP LLM OpenAI 52

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 92

LLM Machine Learning Natural Language Processing ML 92

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 146

Metadata Auto-complete Data Discovery ML Engineer 146

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