Open Sourcerers
tl;dr The rise of AI, particularly large language models (LLMs) like ChatGPT, has been transformative, making advanced technology accessible and widely used. However, with their growing adoption comes a pressing concern: the sustainability of their energy consumption. This article explores a practical approach to evaluating the power usage of different LLMs using a sample chatbot […]
Welcome to the Women+ in Data and AI (W+DAI) event—a true highlight in the tech community calendar that’s all about embracing diversity and empowerment. This isn’t just any tech conference; it’s a celebration where the latest in AI and data science meets a vibrant and supportive network. Here, everyone from industry veterans to budding speakers […]
The potential of AI has been acknowledged for years, along with the understanding that data is the key driver of this potential. This realization sparked a gold rush to amass data, a pursuit driven more by the allure of future possibilities than by practical use cases. Consequently, this rush resulted in piles of rubble rather […]
Open source has become widely adopted as a default, making it easy to overlook its significance in the field of Data science. There is a need to appreciate the greater value in this area. Data scientists can enhance efficiency and improve work performance by utilizing Open source tools and frameworks, unlocking their full potential through […]
tl;dr It’s no surprise that developers are looking for ways to include powerful new technologies like AI Assistants to improve their workflow and productivity. However, many companies are reluctant to allow such technology due to concerns about privacy, security and IP law. This article addresses the concerns about privacy and security and describes how to […]
The year 2022 was all about Artificial Intelligence (AI). AI has found mainstream success and wide introduction to the masses, with applications such as PhotoAI, Lensa, Dream by Wombo and most notably: GPT-3 by OpenAI (fun fact: the T in GPT stands for transformer!) Many successful app creators have used the OpenAI’s API to create […]
tl;dr A Kubernetes-native software engineering approach for the development of AI applications helps you increase developer productivity, optimize resource consumption as well as simplify operations. A hands-on demo of this approach can be seen here. Two-step development approach The usage of an AI/ML model in an application requires basically a two-step development approach. The first […]