Tagged articles

model parameters

3 articles · Page 1 of 1

Aug 21, 2026 · Artificial Intelligence

Agent Self-Evolution: From Experience to Verifiable Capability Growth

This article analyzes Agent self-evolution across three levels—event, effective, and reliable—detailing update paths, learning signals, update objects, the learning loop, verification methods to prove real capability growth, and current boundaries of recursive self-improvement.

AI agentsAgent Self-EvolutionRecursive Self-Improvement

0 likes · 65 min read

Agent Self-Evolution: From Experience to Verifiable Capability Growth

Architect

Oct 7, 2024 · Artificial Intelligence

Master Prompt Engineering: A Universal Framework for Building Effective LLM Prompts

This article presents a systematic, four‑part Prompt engineering framework—role definition, problem description, goal setting, and requirement specification—augmented with RAG, few‑shot examples, memory handling, and model‑parameter tuning, enabling developers to craft high‑quality prompts for large language models across diverse tasks.

Few-Shot LearningLarge Language ModelsRAG

0 likes · 28 min read

Master Prompt Engineering: A Universal Framework for Building Effective LLM Prompts

JavaEdge

Jun 22, 2024 · Artificial Intelligence

What’s the Latest Landscape of Large Language Models? Params, Capabilities, and Licenses

This article provides a comprehensive overview of the evolution of large language models, comparing foreign and Chinese offerings, explaining parameter significance, multimodal extensions, and detailing which models are available for commercial use.

LLMcommercial licensingmodel parameters

0 likes · 10 min read

What’s the Latest Landscape of Large Language Models? Params, Capabilities, and Licenses