Experiments and viral discussions argue that human-like chatbots can be built with biographies, voices and instructions in system prompts, reducing the need for fine-tuning. Dedicated LoRA models enter the debate, but personality is increasingly framed as a prompt-engineering challenge.
A three-step method shows how to get 'human' chatbots without fine-tuning: biography, voice, operational instructions. For on-premise deployments the signal cuts both ways: less pressure on training, but more fragility and audit risk. Cost shifts fro...
A viral Reddit post dismantles the myth of 'humanlike' models: getting a chatbot with a personality does not require fine-tuning, just a well-built system prompt with biography, dialogue examples, and instructions. For those managing on-premise LLMs,...
A rank-256 LoRA fine-tuning on a Qwen3.8-27B base attempts to remove the digital-assistant tone: shorter, less polished, more human replies. Dataset of 125,217 anonymized messages. Open questions remain on IFEval and coding; repository and demo avail...
