Explore AI's evolution from perception to autonomous agents reshaping industries. Discover how the Action-Brain-Context (ABC) framework powers AI Agent Engineering to create systems with compounding value. Unlock the blueprint for agentic AI systems that adapt, learn, and amplify human potential.
The Model Context Protocol (MCP) is an open standard for managing context in AI systems. This article demystifies MCP's core concepts, clears up misconceptions, and highlights how MCP serves as a complementary foundational layer alongside AI agent frameworks.
The future of interaction is here — AI agents are leading the charge. Are you ready to embrace it?"
Anthropic's insights on building effective AI agents underscore the importance of balancing flexibility and simplicity. By thoughtfully evolving deterministic workflows into adaptive agents, we can build powerful yet practical systems that maintain clarity, reliability, and ease of debugging.
While LLMs excel at generating quick, intuitive responses, they generally struggle with complex, logical planning tasks. The LLM-Modulo Framework addresses this by integrating LLM-generated ideas with external, model-based verifiers, enhancing planning accuracy and reliability.
AI-native businesses embed artificial intelligence at their core, enabling groundbreaking innovation and entirely new markets. In contrast, AI-augmented models optimize existing operations, enhancing efficiency without disrupting foundational structures. Which approach defines your future?
From betting boldly on AI-generated direct answers to pioneering Answer Engine Optimization (AEO), Aravind Srinivas of Perplexity AI reveals how strategic risks, targeted AI training, and evolving models could redefine our digital experiences and disrupt traditional search.
Delving into the practical application of GPT Large Language Models (LLMs), this article introduces the Action-Brain-Context (ABC) triangle, leveraging it as a framework to explore the ongoing evolution of prompt engineering and the progressive emergence of autonomous AI agents.
Exploring Generative AI, this article uncovers key concept of GPT Large Language Models (LLMs) and examine the process in making such models, unraveling the journey from raw data to advanced AI assistants.
Delve into the potent intersection of Generative AI and cybersecurity. This article illuminates AI's role in cyber threats and its promise in fortifying digital defenses. Discover the AI-powered future of cybersecurity.
Introduce ChatWeb3 - a chatbot harnessing ChatGPT for blockchain data analysis. Powered by OpenAI, Langchain, and Flipsidecrypto, we examine its workflow, examples, challenges, and future potential in AI-driven blockchain analytics for all.