COLABORATIVO

Explore how recent advancements in Artificial Intelligence could impact the future of collaborative world building for games, specifically with NPCs.

Is AI the Future of Collaborative Game Worlds?

A recommender system refers to a system that is capable of predicting the future preference of a set of items for a user, and recommend the top items. One key reason why we need a recommender system in modern society is that people have too much options to use from due to the prevalence of Internet. In the past, people used to shop in a physical store, in which the items available are limited. For instance, the number of movies that can be placed in a Blockbuster store depends on the size of that store. By contrast, nowadays, the Internet allows people to access abundant resources online. Netflix, for example, has an enormous collection of movies. Although the amount of available information increased, a new problem arose as people had a hard time selecting the items they actually want to see. This is where the recommender system comes in. This article will give you a brief introduction to two typical ways for building a recommender system, Collaborative Filtering and Singular Value Decomposition.

Introduction to Recommender System. Part 1 (Collaborative Filtering, Singular Value Decomposition)

In this study, researchers propose a data quality control pipeline for federated fine-tuning of foundation models. 

Enhancing Data Quality: How low-quality data affects the performance of Collaborative Training

The creator of private internet browser Aloha tells his story and shares why he decided to go open source

Why I Chose to Open Source Aloha: My Commitment to Privacy and Collaboration

ArkeFi’s unique platform allows the sale of tokenized nBAs to fractional owners at 50% of their Fair Market Value (FMV). 

ArkeFi And The Barker Price Announce Strategic Collaboration For Fractional Ownership Protection

How Content Creators Can Choose the Right Agency

The Boom of Creator Agencies: How Not to Screw Up Collaboration

Marina Chernyshova, a Product and UX/UI designer, shares practical tips for enhancing collaboration between Product Designers and Product Managers. 

A Guide for Collaboration and Building a Great Product: Product designer prospective

Explore the operationalization of diversity and inclusion in AI requirements and the role of GPT-4 in enhancing this process.

Diversity and Inclusion in AI: Lessons from Human and AI Collaboration

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