BloombergGPT: A LLM for Financial Applications (arxiv.org)

Summary:

• BloombergGPT is a 50 billion parameter language model trained on a wide range of financial data.
• The model outperforms existing models on financial tasks without sacrificing performance on general LLM benchmarks.

Key terms:

• NLP: Natural Language Processing
• LLM: Large Language Model
• BloombergGPT: A 50 billion parameter language model for financial applications
• Financial tasks: Tasks related to financial technology, such as sentiment analysis, named entity recognition, and question answering
• Mixed dataset training: Combining domain-specific and general-purpose datasets for training

Tags:

Research Language Model Training Dataset Benchmarks BloombergGPT Question Answering Finance Financial Technology Chronicles