In the past few articles, we have delved into the various components of the Semantic Kernel, including Kernels, Plugins, Agents, and multi-agent systems. These tools not only make artificial ...

Post-training of large language models has long been clearly divided into two paradigms: supervised fine-tuning (SFT) centered on imitation and reinforcement learning (RL) driven by exploration.