Gen AI Team

TL;DR: This blog explores the challenges of causal inference when strategic behavior is involved, highlighting how individuals' actions can influence data and skew results....

Vision Transformer (ViT) is a new deep learning model for image recognition that uses self-attention mechanisms to replace convolutional layers. It has achieved impressive results on various tasks, but still has limitations in handling large images and requires a large amount of data for training. TL;DR: ViT is a deep learning model for image recognition that uses self-attention mechanisms instead of convolutional layers. While it has shown good results, it struggles with large images and needs a lot of data for training.

Tradespace exploration is a method for making decisions based on data. It involves considering different options and their potential outcomes in order to determine the best course of action. This approach can help organizations make more informed and effective decisions.

"New to time series analysis? Check out these 9 essential prompts for using ChatGPT to analyze trends and make forecasts. This detailed guide covers advanced techniques in an easy-to-understand way."

Data science can help businesses use insights to drive customer value. By analyzing data, companies can make better decisions and improve customer experience. It's all about using data to make a positive impact on customers and their satisfaction.

New technique for combining specialized language models without the need for large amounts of data. Results show improved performance compared to fine-tuning.

3B Token Dataset TL;DR: A cutting-edge 7B parameter embedding model can now be run on a single GPU, making it more accessible. It also has the ability to process a large dataset of 3B tokens. This could lead to significant improvements in natural language processing tasks.

Author(s): Nathan Cheng TL;DR: This article explores the process of building multi-stage recommender systems, crucial for handling information overload in various industries. It breaks down...

TL;DR: It's better to avoid building a data platform in 2024 because most articles about it are misleading. They often overstate the benefits and downplay the challenges involved. Instead, focus on understanding your specific data needs and find existing solutions that can meet them. It will save time, money, and headaches in the long run.

LLM Personalization is a method of creating personalized responses using user personas, which are fictional representations of target users. This approach allows for more tailored and effective communication between a computer system and its users.