1. What can large language models (LLMs) help businesses and teams with?
Language-based tasks
2. To get high-quality output from LLMs, what should you add to your prompts?
Concrete information and clear constraints
3. How can you control the variability of LLMs' responses?
Adjust the temperature settings
4. What is "prompt injection" in generative AI?
A type of attack on LLMs
5. What does "zero data retention" mean in the context of Salesforce and external API-based LLMs?
Not retaining any customer data outside of Salesforce
6. What happens to the prompt and responses once they are sent to OpenAI in the Salesforce context?
OpenAI forgets the data as soon as the response is sent back to Salesforce
7. What is natural language processing (NLP) focused on in AI?
Understanding how words are used together
8. What does NLU stand for in the context of communication between people and machines?
Natural Language Understanding
9. How is NLP different from NLU?
NLP is about understanding what humans mean when they speak naturally, while NLU handles communication between people and machines.
10. What is the key advantage of using Einstein Bots in Salesforce?
They collect and qualify information using natural language understanding (NLU).
11. Why is it important for chatbots to integrate with customer data and business processes?
To provide a seamless experience and escalate to an agent if necessary
12. What is generative AI capable of producing?
Unique text, images and sounds
13. What is the primary role of predictive AI?
Spotting patterns in data
14. What is the primary function of a generator in AI?
To create new content from a request or input
15. What does prompt engineering involve?
Carefully crafting or choosing the input (prompt) for machine learning models
16. Why is context analysis important in natural language understanding?
To make sense of a piece of text based on surrounding information
17. What are the three key analysis techniques used in extracting valuable insights from text and speech data?
Sentiment analysis, intent analysis, and context analysis
18. What is the primary goal of Diagnostic data analytics?
To understand why something happened
19. What does Einstein Activity Capture enable sales reps to do in Salesforce?
Automatically add activities to related records
20. What is the primary purpose of Einstein Lead Scoring?
Analysing lead conversion history
21. What does Einstein Forecasting provide predictions about?
Sales team opportunities
22. How many report rows does Einstein Discovery for Reports analyze?
500,000
23. What is the minimum number of rows needed to train a model for predictions and improvements?
400
24. How should the risk of bias in demographic targeting be mitigated according to the content?
By using interest and intent-based targeting
25. What does a model card provide insights into for users?
AI model characteristics and limitations
26. What is the essence of Human-Centered Design (HCD)?
Resolving customer problems
27. What is the most critical action for successful generative AI implementation according to the content?
Managing Data
28. Which term refers to data that hasn't been processed in any way?
Raw Data
29. What is the primary focus of data literacy?
Data communication and exploration
30. How do discrete variables differ from continuous variables?
Discrete variables have separate and distinct values
31. What type of AI promises to create new content and generate solutions based on the existing content?
Generative AI
32. What principles does Salesforce outline for ensuring trustworthy development of Generative AI?
Accuracy, Safety, Honesty, Empowerment, Sustainability
33. What potential risk is associated with real-time personalization in Marketing content within Salesforce?
Security compromises like Data Breach
34. What role can Generative AI play in assisting Salesforgeek Inc. when developing a new marketing campaign?
Generating ideas based on market trends and company goals
35. What's a significant advantage of using AI for code generation?
Allowing developers to focus on innovative solutions while reducing time spent on repetitive tasks
36. Which AI discipline significantly contributes to Salesforce's predictive text and speech recognition functionalities?
Natural Language Processing
37. For enhancing Sales and customer support functions, which specific AI features should Salesforcegeek Inc. Consider?
Einstein Lead Scoring and Case Classification
38. What strategy can users employ to minimize biases while training an AI system?
Using diverse training data
39. What is the probable effect of utilizing high-quality data on customer relationships?
Enhanced trust and satisfaction
40. What term refers to the process of formulating a question precisely to obtain a specific desired answer?
Prompt engineering #salesforce #ai #generativeai #einstein #testing #llms
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