April 5, 2023, 12:02 a.m. | Synced

Synced syncedreview.com

In the new paper BloombergGPT: A Large Language Model for Finance, a research team from Bloomberg and Johns Hopkins University presents BloombergGPT, a 50 billion parameter language model trained on a 700 billion token dataset that significantly outperforms current benchmark models on financial tasks.


The post Bloomberg & JHU’s BloombergGPT: ‘A Best-in-Class LLM for Financial NLP’ first appeared on Synced.

ai artificial intelligence benchmark bloomberg bloomberggpt dataset deep-neural-networks finance financial gpt johns hopkins university language language model large language model llm machine learning machine learning & data science ml nlp paper research research team team technology university

More from syncedreview.com / Synced

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US