AI Agents
Moving beyond simple accuracy, these five metrics—task success rate, tool usage accuracy, context coherence, response latency, and safety compliance—reveal what truly matters when assessing AI agents.
AI Security
Prompt injection exploits how LLMs process instructions, enabling attackers to hijack AI behavior. Understanding attack vectors and defenses is essential for secure AI deployment.
LoRA
New research reveals that standard LoRA fine-tuning can achieve performance comparable to sophisticated variants when learning rates are properly optimized, challenging assumptions about adapter complexity.
Anthropic
Anthropic releases Claude Opus 4.6 with major improvements in coding and agentic task handling, advancing autonomous AI capabilities for complex multi-step workflows.
AI Agents
Learn how to implement short-term, long-term, and episodic memory systems in AI agents, enabling persistent context and improved reasoning capabilities across sessions.
AI Agents
Understanding when to use shallow tool-calling, ReAct reasoning loops, or deep multi-agent systems is crucial for building effective AI applications. Here's how to choose.
neural architecture
New research explores whether large language models can creatively design novel neural network architectures rather than simply recombining existing patterns from training data.
Mistral AI
French AI startup Mistral releases two specialized coding models targeting the booming AI-assisted development market, competing directly with OpenAI and Anthropic.
AI Agents
Despite impressive demos, AI coding agents struggle with brittle context windows, broken refactors, and missing operational awareness. Here's why these technical limitations matter.
AI Development
Learning the right frameworks can save months of development time. Here's a technical breakdown of 7 essential tools that streamline AI model building, from prototyping to production deployment.
prompt engineering
Master advanced prompt engineering techniques used by AI engineers. Learn structured approaches, few-shot learning, chain-of-thought reasoning, and system prompt optimization to maximize LLM performance across technical applications.
Agentic AI
A comprehensive technical breakdown of agentic AI architecture into seven distinct layers, from memory systems to orchestration, providing clarity in an often overhyped field with practical implementation insights.