Google AI

Effective Prompt Engineering

🎯Clear, specific, and contextual prompts are crucial for obtaining desired results from AI tools, such as requesting a table with specific columns rather than a general list of recommendations.

🧠Chain of Thought prompting breaks down complex tasks into subtasks, particularly effective for problems involving logic or reasoning, like creating purchasing codes for company employees.

Responsible AI Use and Limitations

⚖️Responsible AI use involves addressing biased output, including representation harm and quality of service harm, to prevent reinforcing societal biases and ensure equitable performance across diverse groups.

🕰️Knowledge cutoff and hallucinations are key limitations of AI models, with the former referring to the model's lack of knowledge beyond its training date and the latter resulting in false outputs.

Advanced Prompting Techniques

🔄Iterative prompting involves starting with a simple prompt, gradually adding details, and refining until the desired output is achieved, culminating in a single comprehensive prompt for future use.