Parabole.ai announces the release of ESG-RC, an open-source follow-up to the popular ESG-BERT advanced ESG model
PRINCETON, N.J., Sept. 19, 2023 /PRNewswire/ -- With over 1,800,000 downloads, Parabole.ai's ESG-BERT model, was one of, if not the earliest ESG-trained language models to be released to the general public. Parabole.ai extends its commitment to open source and pioneering advancements in Causal Intelligence and ESG-focused AI. Enriched through a comprehensive dataset including sustainability reports and pivotal ESG materials, ESG-BERT is trained to discover intricate ESG contexts with industry leading precision. In a benchmark study of ESG-BERT, the standard BERT model scored a F1 rating of 0.79, while the ESG-BERT model delivered a score of 0.90.
- Enriched through a comprehensive dataset including sustainability reports and pivotal ESG materials, ESG-BERT is trained to discover intricate ESG contexts with industry leading precision.
- In a benchmark study of ESG-BERT, the standard BERT model scored a F1 rating of 0.79, while the ESG-BERT model delivered a score of 0.90.
- ESG-RC is our much anticipated follow up to ESG-BERT, the most downloaded open source language model for ESG research.
- This unique attribute is tailored to guide users in understanding the core dynamics behind ESG risks and opportunities.