AI Tooling

Challenges in Building and Maintaining Data Products for AI and ML (Part 2)

Processing /

Building and maintaining data products for AI and ML is not just about collecting data—it is about ensuring data quality, scalability, and accessibility. Without addressing these challenges, AI models will produce unreliable results, and organizations will struggle to use data effectively. Two of the biggest challenges in this area are data quality and scalability. Ensuring […]

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Why Generative AI Tools Are Not Suitable for Learning or why we still need good or even better human teacher

AI/ML /

Generative AI (GenAI) tools, such as ChatGPT or other large language models (LLMs), are hailed as groundbreaking innovations for generating human-like responses to diverse prompts. They excel at mimicking natural language, summarizing information, and even assisting with creative tasks. However, their technical foundation raises significant concerns about their suitability as reliable tools for learning and

Why Generative AI Tools Are Not Suitable for Learning or why we still need good or even better human teacher Weiterlesen »

Navigating AWS SageMaker and Bedrock: Understanding Their Differences and Use Cases

Tools /

In the landscape of AI and machine learning, Amazon Web Services (AWS) has introduced two major services—SageMaker and Bedrock—that cater to the needs of developers and businesses seeking to deploy machine learning (ML) models at scale. Although both services enable the integration of AI into various applications, their use cases and functionalities differ significantly, warranting

Navigating AWS SageMaker and Bedrock: Understanding Their Differences and Use Cases Weiterlesen »