A user on the r/LocalLLaMA subreddit is questioning the ability of current large language models (LLMs) to produce high-quality prose, even after extensive fine-tuning. Despite experimenting with various datasets and training methods, the user found that generated text consistently falls into a generic and mediocre category, failing to capture the distinct styles of acclaimed literary works. The user wonders if this limitation is inherent to LLMs or if specific models capable of generating truly literary prose exist. AI
IMPACT Questions the current state of LLM creative writing capabilities, potentially influencing future research directions.
RANK_REASON User expresses an opinion and asks a question about the capabilities of LLMs based on personal experience, rather than reporting a new release or event.
- Dune
- EQBench
- Gemma
- Gemma 2
- GPT-3.5
- Harry Harrison
- IBM
- LLMs
- Martin Eden
- Qwen
- The Grapes of Wrath
- The Lord of the Rings
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →