BREAKING
Mastering Tool Use and Function Calling in LLMs
Explore function calling and tool use in LLMs, their mechanics, and designing effective tools for AI agents.
Category
guide
6 stories · 0 tools
Stories
BREAKING
Enduring Prompt Engineering Strategies for Instruction-Tuned Models
Explore prompt engineering fundamentals that still work for today's instruction-tuned models and understand what changed in AI interactions.
NEW
Understanding LLM Context Windows: Costs and Key Insights
Explore what long context LLMs provide, their quadratic costs, and effective usage strategies for optimal performance.
NEW
Understanding Mixture-of-Experts (MoE): Efficient Scaling of AI Models
Explore how the mixture of experts architecture efficiently scales parameters while minimizing cost per token in AI models.
NEW
Understanding Transformer Attention: The Key to Modern LLMs
Explore how self-attention and transformer architecture drive the performance of LLMs, including insights on scaling and efficiency.
NEW
Understanding Retrieval-Augmented Generation: A Practical Guide
Explore retrieval augmented generation, its mechanics, and advantages over fine-tuning in natural language processing.