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AI Augmented Engineer - Coggle Diagram
AI Augmented Engineer
Leading with Generative AI
Help Your Team Harness Gen AI
Boost gen AI skills
Gen AI
Produce errors, biases, misleading information
Make better decision
Respond to user instructions to generate new text, image, and insights by analyzing patterns in data
Experiment and Innovate with Gen AI
Envision new solutions
Automate tasks
Personalize content
Analyze information
Make predictions
Unlock innovation and creativity
Evaluate ideas
Broaden perspectives
Brainstorm
Experiment to gain insights
S2: Determine how to measure results
S3: Plan how to observe and document results
S1: Develop a hypothesis
S4: Evaluate, reflect, refine
Guide Gen AI for Better Results
Engage in a conversation
Provide context
Constrains
Background knowledge
Framing detail
Assign a persona
Identity
Set of charactersics
Roles
Clearly define the task
Pinpoint specific goal
Give examples
Evaluate the responses
Ask smart follow-up questions
Clarify vague points and redirect the tool's focus to needs
Stay alert to biases
Seek balance by questioning one-sided answers
Asking the tool what perspectives you may be missing
Check the logic
Evaluate the reasoning in the output
Seek diverse perspectives
Combine AI insights with multiple trusted sources
Verify claims -> Cross-references
Statistics
Facts
Data points
Balance AI with human insight
Solve problems with gen AI
Explore instead of solve
Creative and diverse range of possibilities
Reimage the problem
Outside traditional frameworks
Future-facing options
Manage Gen AI's risks
Understanding Prompt Engineering
Prompting unveiled
Thoughtful Prompt = Thoughtful Answer
Specific
Open-endness
Clear
Avoid
Ambiguity
Over-complication
Overloading - too much (irrelevant) information
Prompting Strategies and Techniques
SALT
Audience - tailoring the content
Length - brevity or depth <Concise summary, In-depth analysis>
Style - define the framework <List, Describe, ...>
Tone - mood and feel <Formal, Casual, Playful anecdote>
LARF <Four cornerstones of evaluation>
Accuracy
Relevance
Logical consistent
Factual correctness
Prompt Formatting
Bold -> Emphasize: **
Quotation marks "ABC"
Header: #
Advanced Prompt Engineering
Mitigating model limitations
Prompt ChatGPT with discontinuous tasks
Blending humor with unexpected topics
Encourage creative leaps beyond its training data
Persona-problem-solution framework
Output format
Context
Persona
Examples
Instructions
Training techniques
One-shot
Template
Few-shot
Multiple examples
Zero-shot
Reply on extensive pre-training
Chain of thought (COT) promoting
Break down problems into simpler, understandable steps, leading to more accurate and detailed responses
Understanding ChatGPT
Interacting with ChatGPT
Limitations
Training Data Bias
Context tracking
Knowledge cutoff
Hallucination
Legal and ethical considerations
Write effective prompts
Provide examples if necessary
Keep it consice
Be clear and specific
Necessary information
ChatGPT
Understand the prompt
Generate response
Identify the topic
Generative AI
Training Data = Algorithms + Fine-Tuning
Adopting ChatGPT