LLM Prompt Engineering

LLM prompt engineering involves designing and optimizing prompts to effectively interact with large language models. It is a critical step towards ensuring that the quality and nature of the responses generated by language systems accurately address user comments and questions.

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What We Offer

Mindy Support’s trained team members are aware of the latest LLM prompting techniques, methods, and strategies to optimize prompts for better performance and desired outcomes. This includes:

Providing contextualized information

We include relevant information to set the stage for the model and incorporate necessary data or facts into the prompt LLM. 

Build prompt iteration strategies

Specify a required output, using synonyms, alternative phrases or prompt libraries, repeating key phrases or words. 

Iterative refinement

Continuously refine the prompt engineering with LLM based on the answers received. We then use feedback from users or additional testing to improve the text.

Controls and constraints

Define limits or specific requirements within the text for accurate content automation, including instructing the model on the desired tone or style.

Use correct examples and templates

Our specialists provide examples within the LLM prompt generator to guide the system, using pre-defined templates to shape the answer (multi-shot prompting). 

Prompt formatting and structure

This includes organizing the text in a way that makes it easy for the model to follow (organize zero-shot prompting, which requires instruction and some context). We can use any format of your choice, such as specific formats such as Q&A or fill-in-the-blank. 

Your Benefits

Accurately created prompts can increase the quality of commercial applications for LLM. In addition to helping you achieve commercial and scientific success, we offer the following benefits:

Process optimization

We employ several strategies to fine-tune prompts for better performance, accuracy, and relevance. This includes leveraging advanced natural language processing techniques to instruct the model on how to process requests.

Personalized approach

This includes tailoring the interaction to the specific needs, preferences, and context of the individual user or target audience. This method focuses on customization to enhance the relevance and effectiveness of the responses.

Increased accuracy and relevance

Our team members create well-crafted prompts that lead to more accurate and relevant answers tailored to the specific question or task at hand. Adding contextual information in the text helps the system understand the background, resulting in more contextually appropriate responses.

Consistent quality levels

By using structured text, we ensure consistency in the quality and format of the responses. Our prompt engineering can guide the model to maintain a consistent tone and style, important for brand consistency and formal communications.

Mitigate bias

The thoughtfully constructed prompts we create can help mitigate biases in model outputs by explicitly directing the model to consider diverse viewpoints or avoid certain biases. We make sure that the texts are designed to be inclusive and fair, which can lead to more equitable and balanced responses and content strategies with LLM.

Our Global Presence

Since Mindy Support has office locations all over the world, we are able to provide worldwide recruiting and multilingual services in 40+ languages. Having such a wide global footprint allows us to cover all data annotation services needed to develop generative AI LLM solutions.

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Anyline, Austria

Thanks to Mindy Support, the client has been able to deliver multiple custom-made mobile OCR scanning solutions on time. They have been thorough and quick to respond with clear communication. Their most impressive feat has been creating solutions within hours.

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Atlatec GmbH, Germany

We have been working with Mindy for some time now. They support our teams in Germany with 3D map building work. Their work is invaluable and helps us to deliver on time, within budget, and with quality. They are part of the team now. Thanks, Mindy.

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Viu More, Belgium

Thanks to Mindy Support, the client has created an effective model that enables them to differentiate various types of waste. As a result, they've managed to annotate over 1,000 images within two weeks. The team is easy to work with — they're receptive to feedback, personable, and communicative.

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Sweatcoin, United Kingdom

Mindy Support mastered the role quickly and they meet all of the client's needs. They proactively seek feedback and are very responsive. Exhibiting great project management skills, they provide great service and have an effective workflow. Always available, the team is always on hand if needed.

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Kili Technology

The client has been pleased with Mindy Support's performance. The quality of their annotation and their speed of work have been impressive. Responsive and organized, they facilitate a seamless workflow, which encourages long-term partnership.

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Superb AI

The most impressive aspect of Mindy Support is their ability to combine speed with precision, all while maintaining cost efficiency. Their adeptness at quickly assimilating project requirements and delivering quality annotations within stringent deadlines is commendable and has been instrumental in our projects' success.

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OnRecruit, Netherlands

In our experience, Mindy Support offers a high return on investment. Many successful meetings with potential clients were won solely on the work they completed. On a personal note, it was a pleasure working with Tetiana and Evgenia, and certainly should we require their expertise in the future, Mindy Support will be the first business we speak to.

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Alex C.

YieldSystems

Mindy Support boasted more than 95% accuracy in data annotation, allowing them to flawlessly and efficiently execute their tasks. A dependable partner, they communicated effectively and remained punctual throughout. They provided accurate and cost-effective solutions for the client's software needs.

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    We have a minimum threshold for starting any new project, which is 735 productive man-hours a month (equivalent to 5 graphic annotators working on the task monthly).