Tag Archive: AI

Why Do We Need A Purpose-Built Database For Multimodal Data?

Recently, data engineering and management have grown difficult for companies building modern applications. There is one leading reason—lack of multimodal data support. Today, application data—especially for AI-driven applications—includes text data, image data, audio data, video data, and sometimes complex hierarchical... View article

The Role of AI Safety Standards in Modern MLOps

With the recent explosive growth of AI, particularly in Generative AI, the importance of safety and reliability has surged as a paramount concern for businesses, consumers, and regulatory bodies.  Recent safety standards and regulations as outlined in the EU AI... View article

Become the Maestro of your MLOps Abstractions

The MLOps ecosystem is evolving into a sophisticated symphony, composed of diverse tools, methodologies, and cultures. This diversity, while beneficial, also introduces a complexity reminiscent of the challenges encountered in Big Data systems. Data experts had to navigate through immense data... View article

Forging a Personal Chatbot with OpenAI API, Chroma DB, HuggingFace Spaces, and Gradio 🔥

If you have checked the Internet in 2023, you’re likely familiar with Generative AI. The launch of ChatGPT has sparked a surge in interest, investment, and innovative projects focused on Large Language Models (LLMs), Artificial General Intelligence (AGI), and Retrieval Augmented Generation (RAG). Yet, navigating this burgeoning field can be challenging: What tangible benefits... View article

Is AI/ML Monitoring just Data Engineering? 🤔

While the future of machine learning and MLOps is being debated, practitioners still need to attend to their machine learning models in production. This is no easy task, as ML engineers must constantly assess the quality of the data that... View article

We need POSIX for MLOps

Author: Médéric Hurier (Fmind) If you work on MLOps, you must navigate an ever-growing landscape of tools and solutions. This is both an intense source of stimulation and fatigue for MLOps practitioners. Vendors and users face the same problem: How can we combine all these tools... View article