Summary of Toward Large Language Models As a Therapeutic Tool: Comparing Prompting Techniques to Improve Gpt-delivered Problem-solving Therapy, by Daniil Filienko et al.
Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy
by Daniil Filienko, Yinzhou Wang, Caroline El Jazmi, Serena Xie, Trevor Cohen, Martine De Cock, Weichao Yuwen
First submitted to arxiv on: 27 Aug 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Emerging Technologies (cs.ET); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper investigates the effectiveness of prompt engineering in guiding Large Language Models (LLMs) to deliver parts of a Problem-Solving Therapy (PST) session via text. Specifically, it examines how LLMs can be used for symptom identification and assessment during personalized goal setting. The study presents evaluation results using automatic metrics and experienced medical professionals, demonstrating that the models’ capability to deliver protocolized therapy can be improved with proper prompt engineering methods, although with limitations. This research contributes to a growing body of work on the potential applications of LLMs in delivering psychotherapy, an area with significant promise given the current shortage of mental health professionals. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper looks at how artificial intelligence (AI) can help with therapy sessions. AI is being used for many things, including healthcare. But we don’t know much about its strengths and weaknesses yet. This study tries to fix that by seeing if using special prompts can make AI more helpful during therapy sessions. It compares the results of different prompt methods using both computer programs and expert therapists. The findings show that AI can get better at helping with therapy if it’s given the right prompts, but there are still some limitations. Overall, this research could help us use AI to provide therapy services when we don’t have enough people trained to do it. |
Keywords
» Artificial intelligence » Prompt
