Скачать или смотреть Wall Street's new LLM beats GPT-4

GPT-4 beaten! GPT-4 lost the game! Wall Street build the perfect AI /LLM.
A billionaire builds a LLM for the US Financial sector, the first finance LLM!
And a simple reason why GPT-4 lost ....

Questions:
1. Imagine your are the US Financial Sector. What AI LLM do you buy?

2. You have the largest domain-specific dataset for an LLM of the latest generation: the financial data of the world! Why you stay away from GPT-4?

3. New economic perspective (price vs performance) on Large Language Models (LLM), including the latest developments of AI systems vs GPT-4.

4. The economic rationale of LLMs explained. Including Microsoft's GPT-4, Meta's LLama, T5 and Flan-T5, plus BLOOM.

Models you should choose, and those you should avoid for specific tasks, and fine-tuning. ICL vs fine-tuning for LLMs.

Including a short explanation of "the job to be done", according to the innovation theory by Prof. Clayton Christensen on GPT-4.

Discover the costs of training an LLM from scratch. Outsmart Wall Street. Now.

   • BigScience BLOOM on COLAB (max tuned versi...  
   • New BigScience BLOOM Large Language Model ...  
   • Unleashing the Power of BLOOM 176B with AW...  
   • Google's 2nd Answer to "BING ChatGPT":  Sp...  

Literature:
BloombergGPT: A Large Language Model for Finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, Gideon Mann
https://arxiv.org/abs/2303.17564



#ai
#gpt4
#chatgptprompts
#languagemodel
#naturallanguageprocessing
#machinelearning
#datascience
#chatgpt