BloombergGPT: A Large Language Model for Finance

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The paper titled “BloombergGPT: A Large Language Model for Finance” by Shijie Wu et al. presents BloombergGPT, a 50 billion parameter language model that is trained on a wide range of financial data. The paper explains the modeling choices, training process, and evaluation methodology. The model is validated on standard LLM benchmarks, open financial benchmarks, and a suite of internal benchmarks that most accurately reflect the intended usage. The mixed dataset training leads to a model that outperforms existing models on financial tasks by significant margins without sacrificing performance on general LLM benchmarks

Financial tasks mentioned in the paper

The paper doesn’t mention the financial tasks that BloombergGPT is capable of performing. However, according to an article on, BloombergGPT is capable of analyzing the sentiment of financial data like social media posts and news articles, named entity recognition (NER), news classification, headline generation, risk assessments, financial sentiment analysis, and automating accounting and auditing activities.

(Summary: Bing AI)

Here Come the Underdogs of the Robot Olympics

Prompt for Bing Image generator provided by Bard:Generate an image of a robot competing in the DARPA Robotics Challenge. The robot should be a solo competitor, and it should be struggling to complete a task. The environment should be a disaster-stricken area, such as a collapsed building or a burning forest. The image should be realistic and inspiring, and it should capture the spirit of the underdog.

The article “Here Come the Underdogs of the Robot Olympics” by WIRED magazine profiles Kevin Knoedler, an underdog competitor in the DARPA Robotics Challenge (DRC). Knoedler is a solo competitor who has entered both the DRC and the DARPA Subterranean Challenge (SubT). In the DRC, he finished dead last in the real-world portion of the competition, but he won the “Most Robots per Person” superlative award. In SubT, he crashed all of his aerial drones but dominated the virtual competition, finishing first with more than twice as many points as the nearest competitor. Knoedler is an inspiration to other underdogs who are trying to make their mark in the world of robotics.

The article also discusses the DRC and SubT competitions, which are designed to push the boundaries of robotic technology. The DRC is a series of challenges that test robots’ ability to perform tasks in disaster-stricken environments. SubT is a series of challenges that test robots’ ability to navigate underground environments. Both competitions are highly competitive, and they have helped to advance the state of robotic technology.

(Generated using Bard, Google)

Hollywood on Strike

Hollywood sign, cracks due to streaming services and AI, anime – Bing Generative AI

“Hollywood on Strike” is an analysis piece on the conflict between Hollywood labor unions and streaming service providers. The author, Ben Thompson, argues that this conflict is based on the upheaval of the traditional Hollywood business model brought about by streaming services like Netflix. Thompson notes that streaming services compensate creators differently from traditional broadcasters, a system that not everyone in the film industry sees as fair or beneficial. Thompson also suggests that because of the fragmented nature of streaming, shows have shorter runs and less syndication potential, depriving creators of a key revenue stream. This creates tension between creative talent and digital platforms. Thompson predicts that this situation may lead to a Hollywood strike, a move that could shift the balance of power in the industry.”

Full article here–>