Speakers
Rafael Kübler da Silva
Schedule
Location
This talk provides an overview of metaprogramming concepts within Python and explores their practical applications. By harnessing the dynamic nature of the language, metaprogramming techniques empower developers to create exceptionally flexible code through the utilization of higher-order functions, decorators, and metaclasses.
Ekaterina will focus on the significance of intellectual property (IP) rights, specifically addressing their relevance to data science. The talk will delve into queries surrounding data ownership within databases and shed light on the intriguing topic of why neural networks are not commonly patented. Additionally, the session will cover general considerations related to patenting software inventions and explore the IP rights associated with Python.
Andrey explores the practical applications of utilizing open-source Large Language Models (LLMs) in real-world scenarios. A comprehensive comparison between the advantages and disadvantages of open-source LLMs and proprietary alternatives, such as OpenAI, will be discussed. The conversation extends to the economic considerations of hosting open-source LLMs, emphasizes serving frameworks, investigates cloud GPU availability, provides insights into key open-source LLMs, and demonstrates the process of running and fine-tuning these models using the dstack open-source tool.