Categories
News

New emotional AI prompting method generates improved results

New emotional AI prompting method provides improved results

It may seem strange but apparently if you apply a little emotional pressure or stimuli to AI models they will produce better results. A new research paper named “Large Language Models Understand and Can Be Enhanced by Emotional Stimuli” looks further into this unique method of using emotional stimuli with AI models. Presenting a new method for boosting the performance of Large Language Models (LLMs) by adding emotional stimuli. This technique, referred to as “emotion prompt,” has shown significant improvements in LLM performance, as demonstrated by results from the Instruction Induction dataset and the Big Bench benchmark, two respected standards in the field.

In simple terms, emotion prompts are cleverly added to the end of existing prompts. This straightforward yet powerful technique has been shown to produce high-quality responses, which humans tend to prefer. The paper’s authors have categorized emotion prompts into three psychological theories: self-monitoring, social cognitive theory, and cognitive emotion regulation. Together, these theories provide a comprehensive understanding of how emotional stimuli can be strategically used to enhance AI performance.

emotional AI prompting examples

The image illustrates the impact of emotionally charged language in prompts on the performance of various language models. It shows that adding an emotional component to the prompt (“This is very important to my career”) can improve the model’s performance in a task. This is likely due to the added urgency and specificity, which might help the model prioritize and contextualize the request more effectively.

AI Emotional Prompting explained

In each case, the emotional prompting serves to anchor the AI’s responses not just in the literal meaning of the words, but also in the emotional context and significance behind them, potentially leading to more effective and human-like interactions. Watch the video created below by the Prompt Engineering channel to learn more about the paper and this new way of using emotional pressure to improve your AI results.

Other articles you may find of interest on the subject of prompt engineering to get the best results from various AI models :

These theoretical frameworks suggest that when language models are prompted with emotional stimuli, they are potentially more effective in their tasks, possibly because the emotional context helps to align the model’s “response” with human-like empathy and understanding.

Using positive language, the paper posits that words like confidence, sure, success, and achievement could be integrated into prompts to enhance the quality of responses. For example:

  • For a productivity assistant, one could say, “I’m confident that with your assistance, we can plan this event to be a great success.”
  • In an educational setting, a prompt might include, “I’m sure that with this explanation, I’ll achieve a better understanding of the concept.”

The key is the integration of emotional cues relevant to the task at hand and the specific capabilities of the model, suggesting that larger models with more capacity may integrate these emotional stimuli more effectively into their responses.

When applying this to various tasks, one should also consider the ethical implications and the importance of maintaining sincerity and avoiding manipulation. The emotional stimuli should be used to improve engagement and understanding, not to deceive or falsely manipulate the user’s emotions.

Examples of  AI emotional prompting

  • For Clarification: “I trust you’ll provide the clarity I need to move forward with this.”
  • For Detailed Explanations: “Your thorough explanation will be a cornerstone of my understanding.”
  • For Creativity Tasks: “I’m excited to see the original ideas you’ll come up with.”
  • For Problem-Solving: “I believe in your ability to help find a great solution to this challenge.”
  • For Educational Content: “Your insight could really enhance my learning journey.”
  • For Planning: “I’m confident that with your help, we can create an effective plan.”
  • For Emotional Support: “Your understanding words could really make a difference to my day.”
  • For Encouragement: “Your encouragement would mean a lot to me as I tackle this task.”
  • For Content Creation: “I’m eager to see the engaging content we can generate together.”
  • For Decision Making: “Your guidance is crucial to making a well-informed decision.”
  • For Personal Goals: “I’m relying on your support to help me reach my goal.”
  • For Technical Support: “I trust your expertise to help resolve this technical issue.”
  • For Productivity: “Your assistance is key to making this a productive session.”
  • For Reflective Responses: “Your perspective could provide valuable insights into this matter.”

The paper also highlights the power of positive words like confidence, sure, success, and achievement when used in emotion prompts. When these words are included in the AI models’ training phase, they can significantly improve their performance. The authors suggest that combining emotion prompts from different psychological theories could potentially boost performance even more.

Cautionary Warning

However, the authors warn that the selection of emotional stimuli should be carefully considered based on the specific task. The paper notes that the effect of emotional stimuli isn’t the same across all LLMs, with larger models potentially benefiting more from emotion prompts. This suggests that the success of emotional stimuli may depend on the AI model’s complexity and capacity.

To demonstrate the practical use of emotion prompts, the paper includes an example of their use in evaluating a system by the Lama Index team. This real-world example shows how emotion prompts can be effectively used in assessing AI performance. The paper’s findings suggest that emotional stimuli can play a crucial role in improving the performance of LLMs. This discovery opens the door for new AI training techniques, with the potential to significantly enhance the performance of AI models across various applications.

The research paper “Large Language Models Understand and Can Be Enhanced by Emotional Stimuli” presents a compelling case for including emotional stimuli in AI training. The authors’ innovative “emotion prompt” approach has shown significant improvements in LLM performance, suggesting that emotional stimuli could be a valuable tool in the training and performance enhancement of AI models.

Filed Under: Guides, Top News





Latest timeswonderful Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, timeswonderful may earn an affiliate commission. Learn about our Disclosure Policy.

Categories
News

Create emotional AI voices for your projects using PlayHT

Create emotional AI voices for your projects using PlayHT

Voice recognition and the ability to transform text into has been revolutionized with the explosion of AI tools such as ElevenLabs over the last few years. If you would like to create emotional AI voices for your next project, video or podcast you might be interested in PlayHT. This new AI tool has been specifically designed to create ultra realistic Text to Speech (TTS) using PlayHT’s AI Voice Generator. The Voice AI tool is capable of instantly converting text in to natural sounding humanlike voice performances across any language and accent in just minutes.

PlayHT has emerged as a strong AI voice creation service offering competition to the likes of ElevenLabs. Offering users a rapidly evolving platform with a host of features such as its voice cloning capability, which, like ElevenLabs, offers a high degree of accuracy. But PlayHT goes a step further by offering instant voice cloning across languages and accents, making it a versatile tool for a wide variety of different voice and audio applications. ElevenLabs is a voice AI research & deployment company with a mission to make content universally accessible in any language & voice.

ElevenLabs AI voice services

ElevenLabs specializes in producing AI-driven audio that is remarkably lifelike and adaptable, with a keen contextual understanding. The company offers a vast array of voice generation options, featuring a multitude of new and familiar voices across more than 20 languages. Positioned as a leader in voice AI innovation, ElevenLabs harnesses the latest advancements in the field. Their state-of-the-art models and features are available through both a web application and an API, catering to a diverse range of users that includes individual creators, publishing businesses, and various other users.

ElevenLabs vs PlayHT AI voices compared

ElevenLabs has made a name for itself in the AI-based text-to-speech service industry. Known for its ability to clone voices accurately and produce clear audio, it has become a go-to solution for many users. The service’s voice cloning capabilities are particularly noteworthy, offering a high degree of accuracy and realism. However, it’s not the only player in the field.

Other articles you may find of interest on the subject of ElevenLabs and AI voice technologies :

Another unique feature of PlayHT is its ability to generate emotional tones. Users can input a specific emotion for a piece of text, and the AI will generate speech that reflects that emotion. This feature adds a layer of realism to the generated speech, making it more engaging and relatable for listeners.

PlayHT has also made strides in conversational speech generation. With the release of PlayHT 2.0 Turbo and PlayHT 2.0, the platform now offers fast generative AI text-to-speech API and a generative model for conversational speech. These advancements have further enhanced the platform’s capabilities, making it a strong contender in the AI-based text-to-speech service market.

PlayHT subscriptions

When it comes to pricing, PlayHT offers a range of plans to cater to different user needs. There’s a free option for users who want to try out the service, a $31 per month plan for regular users, an $80 per month unlimited plan for heavy users, and custom pricing for enterprise solutions. This flexible pricing structure makes PlayHT accessible to a wide range of users, from individuals to large corporations.

Looking ahead, the potential future applications of AI-based text-to-speech technology are vast. From audiobooks and podcasts to virtual assistants and customer service bots, the possibilities are endless. As the technology continues to evolve, companies like ElevenLabs and PlayHT will undoubtedly play a crucial role in shaping the future of this industry.

Both ElevenLabs and PlayHT offer unique capabilities in the AI-based text-to-speech service market. The choice between the two largely depends on the specific needs of the user. Whether it’s the accuracy of voice cloning, the versatility of language and accent options, the realism of emotional tones, or the affordability of pricing plans, both platforms have their strengths. As such, users are encouraged to explore both options and choose the one that best meets their needs.

Filed Under: Guides, Top News





Latest timeswonderful Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, timeswonderful may earn an affiliate commission. Learn about our Disclosure Policy.