

BloombergGPT - an LLM for Finance with David Rosenberg - #639
13 snips Jul 24, 2023
David Rosenberg, head of the machine learning strategy team at Bloomberg, discusses the fascinating development of BloombergGPT, a tailored large language model for finance. He dives into its unique architecture, validation methods, and performance benchmarks, revealing how it successfully integrates finance-specific data. David also addresses the challenges of processing financial information and the importance of ethical considerations in AI deployment, especially regarding bias and the necessity for human oversight.
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Early Neural Network Interest
- David Rosenberg studied math and was interested in neural networks in 2000.
- His stochastic processes instructor advised against studying them, suggesting Bayesian networks instead.
Bloomberg's LLM Investment
- Bloomberg's CTO office made a strategic decision in late 2020 to invest in building a large language model.
- The potential of GPT-3 influenced this decision, despite the significant investment required.
BloombergGPT's Training Data
- BloombergGPT's training dataset combined general-purpose data with Bloomberg's financial data (FinPile).
- FinPile includes news data, financial filings, press releases, transcripts, and more from 2007 onwards.