A.I.

The rapid evolution of Large Language Models (LLMs) has sparked a new era of AI agents. While the foundation of these agents lies in generative models, the real challenge lies in devising effective reasoning strategies and agent architectures.

Recommendation systems have become an integral part of our digital lives, influencing our choices from movies and music to products and services. These systems aim to provide personalized recommendations by analyzing user behavior and preferences.

A well-architected CDP can also serve as a foundation for advanced AI applications, such as generative AI and machine learning.

Ultimately, AI is a tool that amplifies human capabilities, a catalyst for innovation and creativity. By harnessing the power of AI responsibly, we can unlock new possibilities and shape a future where technology enhances human potential.

The hyperbole surrounding AI's potential is obscuring its practical applications. Leaders must elucidate AI's capabilities, eschewing technical jargon, and centering discussions on tangible business challenges and attainable use cases.

Chris Shayan as a guest on ‘Banking Reinvented’ podcast.

Delaying AI adoption can directly impact your company’s bottom and top lines.

DevEx encompasses the array of systems, technology, processes, and cultural aspects that impact the efficiency of software development. It examines every facet of a developer's environment, including firm's culture, workflows, tools, and overall.

After “LLM Part 7 | Governance” I got some questions on how to build the PII/SPI detector for LLM outputs. In the following video, I am using presidio, spacy, and guardrails (however, imho, nemo’s sensitive_data_detection is better option).