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# Technical insights on LLMs, prompts, and AI engineering
# Featured Articles
The Evolution of Prompt Engineering: From Basic Instructions to Advanced Techniques
Explore how prompt engineering has evolved from simple text instructions to sophisticated techniques that unlock the full potential of large language models.
Understanding Large Language Models: Architecture, Training, and Capabilities
Deep dive into the technical foundations of LLMs, covering transformer architecture, training methodologies, and emerging capabilities.
Chain-of-Thought Prompting: Teaching AI to Reason Step by Step
Learn how chain-of-thought prompting enables AI models to break down complex problems and provide more accurate, reasoned responses.
# All Articles (5)
Few-Shot Learning: Maximizing Performance with Minimal Examples
Discover how to leverage few-shot learning techniques to achieve excellent results with limited training examples in prompt engineering.
Temperature and Top-p: Fine-tuning AI Creativity and Consistency
Master the art of balancing creativity and consistency in AI outputs by understanding and optimizing temperature and top-p parameters.
Prompt Injection and AI Safety: Building Robust Systems
Explore the security implications of prompt injection attacks and learn best practices for building safe, reliable AI applications.
Multi-modal Prompting: Combining Text, Images, and Beyond
Learn how to craft effective prompts for multi-modal AI systems that process text, images, audio, and other data types simultaneously.
Prompt Templates and Automation: Scaling Your AI Workflows
Build reusable prompt templates and automation systems to scale your AI workflows efficiently across different use cases.