Tag: artificial-intelligence
All the articles with the tag "artificial-intelligence".
Agentic RAG and Context Engineering for Agents
Published: at 04:22 PMExploring how Agentic RAG transforms traditional retrieval-augmented generation into a dynamic, intelligent system that actively manages context for autonomous agents, enabling more sophisticated reasoning and decision-making capabilities.
Memory-Based Agent Learning - The Path to Truly Autonomous AI
Published: at 03:30 PMExploring how memory-augmented AI agents like Memento are revolutionizing autonomous learning without requiring expensive model fine-tuning, marking the first steps toward truly self-evolving AI systems.
Context Engineering - The Evolution Beyond Prompt Engineering
Updated: at 12:45 PMUnderstanding context engineering as the next evolution in AI system design, exploring its fundamental differences from prompt engineering and practical techniques for building robust AI agents.
Software 3.0 - Programming in the Age of AI
Published: at 04:10 PMExploring Andrej Karpathy's vision of Software 3.0 where prompts become programs, LLMs act as utilities, and we design for partial autonomy in an AI-first world.
AI Is Just the Next Evolution of the Computer
Updated: at 01:30 PMHow AI represents the natural progression of computing interfaces, from punch cards to natural language, and its role in democratizing technology for all users.
The Rise of B2A SaaS - When AI Agents Become Your Customer
Published: at 12:00 PMExploring the emergence of Business-to-Agent (B2A) SaaS companies and how the rise of AI agents as user proxies is reshaping the B2B and B2C landscape.
Move 37 and Agents
Published: at 10:00 AMExploring the significance of AlphaGo's Move 37 and its implications for the future of AI agents, highlighting how unexpected innovations in artificial intelligence could revolutionize problem-solving across various domains.
DeepSeek R1: Rewriting the Rules of AI Training
Published: at 10:00 AMDiscover how DeepSeek R1 shattered AI training conventions by achieving 71% accuracy on AIME with zero supervised data. This breakthrough reveals how pure reinforcement learning spontaneously develops advanced reasoning, potentially eliminating massive data requirements and democratizing AI development. Essential reading for ML engineers and AI researchers seeking the next evolution in model training techniques.
The One Person Scrum Team
Published: at 10:00 AMExplore how AI is revolutionizing software development by enabling single-person Scrum teams. Learn how developers can leverage AI agents across the entire software development lifecycle to build complex systems efficiently.
Sequence to Sequence Learning - A Decade of Neural Networks
Published: at 03:22 PMAn exploration of Ilya Sutskever's reflections on a decade of progress in sequence-to-sequence learning, examining the evolution of neural networks and their implications for the future of AI development.