total sale
Capture the Flag: Uncovering Data Insights with Large Language Models
Laradji, Issam, Taslakian, Perouz, Rajeswar, Sai, Zantedeschi, Valentina, Lacoste, Alexandre, Chapados, Nicolas, Vazquez, David, Pal, Christopher, Drouin, Alexandre
The extraction of a small number of relevant insights from vast amounts of data is a crucial component of data-driven decision-making. However, accomplishing this task requires considerable technical skills, domain expertise, and human labor. This study explores the potential of using Large Language Models (LLMs) to automate the discovery of insights in data, leveraging recent advances in reasoning and code generation techniques. We propose a new evaluation methodology based on a "capture the flag" principle, measuring the ability of such models to recognize meaningful and pertinent information (flags) in a dataset. We further propose two proof-of-concept agents, with different inner workings, and compare their ability to capture such flags in a real-world sales dataset. While the work reported here is preliminary, our results are sufficiently interesting to mandate future exploration by the community.
- North America > United States > New York (0.04)
- North America > United States > Arizona (0.04)
- North America > United States > Texas (0.04)
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- Retail (0.97)
- Information Technology (0.68)
Using Gradient Boosting for Time Series prediction tasks
Time series prediction problems are pretty frequent in the retail domain. Companies like Walmart and Target need to keep track of how much product should be shipped from Distribution Centres to stores. Even a small improvement in such a demand forecasting system can help save a lot of dollars in term of workforce management, inventory cost and out of stock loss. While there are many techniques to solve this particular problem like ARIMA, Prophet, and LSTMs, we can also treat such a problem as a regression problem too and use trees to solve it. In this post, we will try to solve the time series problem using XGBoost.
PlayStation 4 tops 100M mark, becomes Sony's second-best selling video game console
Sony's PlayStation 4 is now second to only one video game console in the tech company's portfolio: the PlayStation 2. Sony said it sold 2.8 million PS4s to retailers during the quarter ending Sept. 30. That puts total sales over the 100 million mark for the console, which debuted in November 2013. With total sales to retailers of 102.8 million, according to Daniel Ahmad, an analyst with Niko Partners, the PS4 surpassed the original PlayStation and now trails only the PlayStation 2, released in 2000 and the best-selling console game system ever, surpassing 155 million units sold. The PS4 is the consoles that has hit the 100 million mark the fastest, Ahmed says. Streaming video:HBO Max will be more expensive than Netflix, Disney or Apple.
Popular video games in 2018: A list of the 25 best-selling titles this year
The World Health Organization has classified compulsive game playing as a mental health condition. So far in 2018, people around the world have purchased over 160 million copies of games. In the last few decades video games have gone from a niche medium for nerds and arcade regulars to a multi-billion dollar industry. So far in 2018, people around the world have purchased over 160 million copies of games. Based on video game sales statistics for 2018 from games statistics site VGChartz, 24/7 Wall St. reviewed the 25 best selling video games so far this year.
- North America > United States > New York > New York County > New York City (0.04)
- Europe > Greece (0.04)
5 well-known companies working on crazy side projects
Tesla has solar projects on smaller islands, and Musk thinks they should be scalable to larger ones like Puerto Rico. Pixelbots swarming to show a rainbow dinosaur. All work and no play makes Jack a dull boy. The same goes for large businesses -- putting all of your company's effort into a single product can lead to stagnation and stale ideas. Exploring new ideas is one way to keep your company relevant for the long haul, even if the side business doesn't have much to do with your main operations. You're about to see some examples of this from large household names in the American business world.
- North America > Puerto Rico (0.27)
- North America > United States > Florida > Orange County (0.05)
- Europe > Germany > Bavaria > Upper Bavaria > Munich (0.05)
- Leisure & Entertainment (1.00)
- Media > Film (0.53)
- Energy > Renewable > Solar (0.51)
- Energy > Power Industry > Utilities (0.35)