SalesMachines AI Agents
SalesMachines AI Agents
AI Prompt Instructors and ML Coaches
We believe in the value of human creativity and critical thinking for delivery of the most effective AI and Systems Integrations
Steven Cranston, AI/ML University Lecturer, Prompting Coach and Trainer
Steve has effectively managed revenue operations across diverse sectors, from SaaS startups to Enterprise solutions, in regions spanning North America, Europe, Asia, and the Middle East. In addition to his practical experience, Steve's roles as a University Lecturer at Berlin School of Business and Innovation and Czech University of Life Science, add to his deep understanding of AI/ML and further enrich his skill set. Furthermore, as a Prompt Engineer himself, specializing in AI Agent models, he brings a unique and valuable perspective to training.
Suseendaran Muralitharan, Masters degree in AI Technology, AI Consultant, Coach and Trainer
Suseen holds a Master's degree in Artificial Intelligence from the University of Essex in London, England. He is an AI Consultant, cloud DevOps Architect, and an AWS certified DevOps engineer. Suseen specializes in Kubernetes, Docker, Jenkins, and is a passionate Gen AI enthusiast. Additionally, he has expertise in LLM, MLOps, Open AI, Langchain, Huggingface, and Data engineering.
Importance of Prompt Engineering
Why learn it?
What is Prompt Engineering?
- Developing precise and efficient guidelines or inquiries while utilizing natural language processing models such as ChatGPT- Selecting appropriate vocabulary and sentence formations that elicit the intended responses from the model
- Adjusting the input and generating the desired output that corresponds with the user's objectives
- The utilization of prompt engineering does not require expertise in programming or engineering
- Crafting specific and effective instructions or queries is crucial for optimizing the performance of natural language processing models.
Why is Prompt Engineering Important?
- Interpretability and optimal outcomes- Preventing ambiguous, imprecise, or unhelpful responses
- Essential for acquiring precise and pertinent data
- Improved prompts lead to superior answers, saving time and enhancing efficiency in interactions
- Superior prompts contribute to the development of well-trained models for upcoming tasks
What are prompts and how can they be “engineered”effectively?
- Providing further instructions regarding role, tone, and context- Avoiding overgeneralization of prompts
- Ensuring that the added information is not excessive to prevent confusion for the model
- Clarifying the user's intent and purpose for the model to produce content in the appropriate context
- Utilizing prompt patterns such as question refinement, audience persona, recipe patterns, etc.
