April 22, 2024

Migration of C# Warehouse Application to Elixir: Challenges and Benefits

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Migration of C# Warehouse Application to Elixir: Challenges and Benefits

Source: youtube.com

Samanta Araújo shares her experience in migrating a warehouse application from C# to Elixir. She emphasizes the performance, scalability, and resilience benefits that Elixir provides over C#. She begins with an introduction about herself and her experience with both C# and Elixir. She then details the challenges faced with the existing C# application, such as limited scalability, performance issues, and high operational costs. Samanta explains how Elixir addresses these challenges through features like better scalability, minimal latency, and enhanced system resilience. Next, she describes the benefits observed after migrating to Elixir, highlighting significant improvements in processing speed, operational efficiency, and cost-effectiveness. Samanta also mentions the challenges encountered during the transition, particularly convincing her team and clients of Elixir's advantages. She outlines the step-by-step migration approach, which involved moving features gradually to prove the benefits of Elixir. In conclusion, Samanta talks about the importance of patience and effective communication in facilitating a smooth transition to new technology and stresses the need for adaptability and continuous learning.

Developing Procedurally Generated Games with Elixir

Nicholas Scheurich discusses his experiences and techniques in developing video games using Elixir, focusing on creating procedurally generated content and collaborative gameplay inspired by games like Rogue and Dungeons & Dragons.

Apr 22, 2024

The Importance of Data Labeling in Machine Learning and AI Systems

Maciej Gryka elaborates on the crucial role of data labeling in machine learning and AI systems. He draws parallels between the changing tastes humans have for foods like tomatoes and the evolving appreciation for data labeling. Maciej underscores the significance of data labeling for both supervised learning and complex system management, citing examples from his work at Rainforest QA.

Apr 22, 2024

Leveraging Approximate Nearest Neighbors for Improved Text Generation in LLMs

Milad Rastian and Mikk Rätsep explore advanced techniques to enhance text generation using Elixir, focusing particularly on the potential of Approximate Nearest Neighbors (ANN) in Large Language Models (LLMs).

Apr 22, 2024