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Wed. 04/05 – The Grand Theory Of AI Varietals

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*What are AI Varietals™️? Maybe BloombergGPT, a LLM for Finance is one? *

The concept of AI varietals is similar to different grape varieties in wine, where different cultivation methods produce unique tastes. Similarly, with AI, if training sets are cultivated differently and the temperature is adjusted, users may develop preferences for one AI model's output over another. Bloomberg GPT, a large language model developed by Bloomberg, is an example of an AI varietal for finance. It was trained on a corpus of over 700 billion tokens, with 363 billion tokens from Bloomberg's financial data and another 345 billion tokens from general-purpose data sets. Bloomberg GPT performs well on both general tasks and finance-specific tasks, outperforming other language models in finance-specific benchmarks. This model has the potential to replace financial analysts, as it can gather, organize, and output data in a chat-based interface. The emergence of AI varietals suggests a future where companies and individuals can have their own personalized language models trained on specific data. This opens up opportunities for various players to succeed in the AI space, not just big tech companies like OpenAI.

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