About Einstein Generative AI
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Questions and Answers

What is the primary function of Einstein in creating marketing content?

  • To analyze past campaign performance data.
  • To generate content such as subject lines and email copy. (correct)
  • To manage email distribution lists.
  • To design visual elements for marketing materials.

    • What functionality does Commerce.Semantic provide to enhance user experience during searches?

  • It offers personalized product recommendations based on previous searches.
  • It reduces the occurrence of 'no results found' by accounting for variations in search terms. (correct)
  • It provides real-time customer support during the search process.
  • It generates product reviews based on customer feedback.

    • How does Commerce.Smart facilitate the creation of promotions?

  • By leveraging natural language instructions and generative AI to draft promotions quickly. (correct)
  • By using a manual process to categorize products.
  • By requiring advanced programming skills to launch promotions.
  • By connecting with external marketing platforms for promotion management.

    • Which component does Einstein draft as part of creating an email campaign?

    <p>Campaign brief and subject line.</p> Signup and view all the answers

    What is a key function of Commerce Concierge for Commerce Stores?

    <p>To guide customers through their entire shopping experience using generative AI.</p> Signup and view all the answers

    In what context can Einstein generate targeted content?

    <p>It can generate content for both standalone emails and SMS messages.</p> Signup and view all the answers

    In what manner does Data Cloud.Einstein enhance audience segmentation?

    <p>By utilizing trusted customer data within Data Cloud for targeted audience segments.</p> Signup and view all the answers

    What type of report can Einstein utilize to provide recommended answers?

    <p>Uploaded disclosure reports.</p> Signup and view all the answers

    What role does Education.Intelligent Question serve in program assessments?

    <p>To aid in drafting assessment questions for program intakes.</p> Signup and view all the answers

    How does Einstein assist in segmenting the audience for a campaign?

    <p>By creating a target segment based on campaign parameters.</p> Signup and view all the answers

    What is the primary goal of prompt engineering?

    <p>To maximize the performance and reliability of models</p> Signup and view all the answers

    What best describes prompt injection?

    <p>A technique to manipulate a model’s output using specific prompts</p> Signup and view all the answers

    Which of the following statements about prompt instructions is true?

    <p>They consist of a verb-noun structure with a defined task.</p> Signup and view all the answers

    What role does a prompt template play in the use of LLMs?

    <p>It includes placeholders that are filled with business data for final instructions.</p> Signup and view all the answers

    How does retrieval-augmented generation (RAG) enhance prompting?

    <p>By enriching prompts with context from an information retrieval system.</p> Signup and view all the answers

    What is the primary function of prompt management tools?

    <p>To effectively build, manage, package, and share prompts.</p> Signup and view all the answers

    Semantic retrieval allows LLMs to utilize what type of data?

    <p>Similar and relevant historical business data from a CRM system.</p> Signup and view all the answers

    What do system cards aim to address in AI systems?

    <p>The integration of multiple AI models within a holistic framework.</p> Signup and view all the answers

    What characterizes model deprecation in AI development?

    <p>It means that a model is still functional but not recommended for use.</p> Signup and view all the answers

    What happens during the rerouting process?

    <p>Requests to a retired model are redirected to a replacement model.</p> Signup and view all the answers

    When should users start migrating their applications according to the guidelines?

    <p>As soon as the deprecation is announced.</p> Signup and view all the answers

    What is one of the first steps when configuring a model in Einstein Studio after deprecation?

    <p>Choose a new foundation model instead of the deprecated one.</p> Signup and view all the answers

    How are model deprecation and rerouting notices communicated to users?

    <p>In the monthly release notes of the Einstein Platform.</p> Signup and view all the answers

    What is the main purpose of vectorization in the context of a search index?

    <p>To create semantic similarities from numeric representations.</p> Signup and view all the answers

    What should users do with testing results from the initial implementation phase?

    <p>Use them for comparison against the results from the new model.</p> Signup and view all the answers

    What can be concluded about the nature of model deprecation and rerouting?

    <p>They are considered temporary and users should adjust accordingly.</p> Signup and view all the answers

    What role do retrievers play in the search index process?

    <p>They serve as the bridge between search indexes and prompt templates.</p> Signup and view all the answers

    What is the recommended action if a model is deprecated?

    <p>Transition to a recommended replacement model as per the announcement.</p> Signup and view all the answers

    Which step directly follows the retrieval of relevant context from the indexed data?

    <p>The original prompt is populated with the retrieved information.</p> Signup and view all the answers

    What advantage does Retrieval Augmented Generation (RAG) provide to prompt template users?

    <p>It enhances generated responses with the latest proprietary data.</p> Signup and view all the answers

    Which of the following statements accurately describes the workflow when a prompt template with a retriever is executed?

    <p>The query created from the prompt template is vectorized before retrieval.</p> Signup and view all the answers

    What is the default rate limit for Large Language Model (LLM) generation requests at the Salesforce Organization ID level?

    <p>300 requests per minute.</p> Signup and view all the answers

    What can custom retrievers in Einstein Studio achieve beyond the default options?

    <p>They provide enhanced search criteria and result relevance.</p> Signup and view all the answers

    What is a significant limitation of many Large Language Models (LLMs) mentioned in the content?

    <p>They are limited to data processed within a specific timeframe.</p> Signup and view all the answers

    What is the primary function of the Field Service.Pre-Work Brief?

    <p>To inform mobile workers about their upcoming work order.</p> Signup and view all the answers

    How does Contracts AI enhance the handling of legal documents?

    <p>By extracting data from PDFs and drafting legal clauses.</p> Signup and view all the answers

    Which feature of the Marketing Cloud is aimed at content creation?

    <p>Einstein Assistant for drafting email content.</p> Signup and view all the answers

    What benefits does Einstein for Loyalty Management provide?

    <p>It summarizes loyalty programs and promotions.</p> Signup and view all the answers

    What capabilities does the Field Service.Dispatcher offer to users?

    <p>It provides an overview of appointments needing attention.</p> Signup and view all the answers

    In what way does Einstein enhance the educational experience?

    <p>By providing personalized skill recommendations.</p> Signup and view all the answers

    How does the Field Service.Post-Work Summary contribute to efficiency?

    <p>By providing a detailed report of their completed tasks.</p> Signup and view all the answers

    What is a function of the Marketing Cloud.Subject Line & Body Copy tool?

    <p>It generates subject lines and body copy for messages.</p> Signup and view all the answers

    Study Notes

    Einstein Generative AI & Trust

    • Data safety is paramount when innovating with new technology
    • Einstein Generative AI prioritizes data security and accuracy
    • Salesforce values trust as its primary principle
    • Agreements with LLM providers (like OpenAI) protect user data
    • Private data isn't retained by LLM providers

    Trusted Generative AI

    • Salesforce's Einstein Generative AI solutions adhere to five principles
      • Accuracy: Model responses backed by explanations and sources
      • Safety: Detects and mitigates bias, toxicity, and harmful content
      • Transparency: Models respect data provenance and grounding
      • Empowerment: Aids users by augmenting their capabilities
      • Sustainability: Prioritizes accuracy and reduces carbon footprint

    Reviewing Generative AI Responses

    • Generative AI is a tool to boost creativity, productivity, and decision-making
    • It's crucial to ensure the accuracy and helpfulness of the content, and aligning with company values.
    • AI can sometimes generate inaccurate responses (hallucinations), avoid this by checking for accuracy and ensuring grounded content (e.g. using up-to-date knowledge articles in customer service).
    • AI responses may contain bias from training data (humans) and should be checked for appropriateness (avoid harmful language)
    • Users can edit or discard responses that don't meet standards or business needs.

    Einstein Generative AI Glossary of Terms

    • Artificial intelligence (AI): Computer systems using data for inference, tasks, and problem-solving resembling human reasoning
    • Bias: Systematic and repeatable errors in AI systems creating unfair outcomes due to inaccurate assumptions during machine learning.
    • Corpus: A large collection of text datasets used to train LLMs
    • Domain adaptation: Adding organization-specific knowledge to a prompt or foundation model
    • Fine-tuning: Adjusting a pre-trained language model for a specific task using smaller, task-related data
    • Generative AI gateway: Provides normalized APIs for interacting with foundation models and services from different vendors.

    Generative Pre-Trained Transformer (GPT)

    • A family of language models trained on vast text data to produce human-like text.

    Grounding

    • Incorporating domain-specific information or customer data into prompts.
    • Improves response accuracy by providing context.

    Hallucination

    • Generating factually incorrect text that may seem semantically correct within a given context.

    Temperature

    • Parameter controlling the predictability and variety of model outputs.
    • High temperature = more diverse responses
    • Low temperature = more consistent responses

    Toxicity

    • Offensive, harmful, or abusive language
    • Models are trained on data including this and may generate this.

    Trusted AI

    • Salesforce's guidelines for responsible AI development and implementation.

    Einstein Requests

    • A usage metric for Generative AI, used for both production and sandbox environments. Using generative Al capabilities consumes Einstein Requests.
    • Data Cloud or other credits might be consumed depending on usage

    Large Language Model (LLM) Support

    • Salesforce offers managed LLM models
    • Using and customizing/integrating your own models is supported (BYOLLM)
    • Using the Models API provides custom solutions for developers.

    Model Deprecation

    • Process of model updates, where an existing model is phased out in favor of a newer version
    • Model providers announce deprecation with a shutdown date.
    • Rerouting of requests occurs if model is retired
    • Deprecation notices are in monthly release notes.
    • Updates should be made as soon as possible.

    Geo-Aware LLM Request Routing

    • LLM requests are routed to servers closest to the Einstein Generative Al platform instance location
    • Supports OpenAI and Anthropic models in relevant regions.

    Proximity and Routing

    • Closest LLM server determined by the Einstein generative AI platform instance location.

    Retrieval Augmented Generation (RAG)

    • A framework for grounding large language models (LLMs) in data.
    • Improves relevance and value of LLM responses by using structured or unstructured data.
      • Retrieve relevant information
      • Augments the prompt
      • Generates a response

    Offline Preparation (RAG)

    • Steps in preparing data for RAG use in Data Cloud. Load, chunk, vectorize, and index data.

    Online Usage (RAG)

    • Steps that use data retrieved from the knowledge store. Query, locate, retrieves/retrieve.

    Rate Limits

    • Customers have default rate limits for LLM generations per minute.

    Record Pages in Lightning App Builder

    • For optimal viewing of generative AI-related data in Salesforce pages, fields shouldn't be positioned in highly constrained spaces, which may obstruct viewing.

    Generative AI-Enabled Fields

    • Icons highlight fields that utilize generative AI for prompt template support

    Commerce Features that use Generative AI

    • Concierge for Commerce Stores
    • Segment Creation
    • Campaign Brief & Campaign
    • Subject Lines, Preheader & Message Copy
    • Emails for Salesforce partners
    • Copilot actions for Fundraising Gift Proposals
    • Generative Al for ESG Reports

    Data Cloud Features that use Generative AI

    • Einstein Segments for commerce
    • Intelligent Question Generation for Education
    • Pre-work briefs, summaries, and dispatcher actions in Field Service

    Other Features that use Generative AI for various Use Cases

    • Report Formula Generation, Return Insights
    • Product Fields
    • Semantic Search for Commerce
    • Smart Promotions for Commerce
    • Contracts Al for Commerce
    • Loyalty Management
    • Marketing Cloud Engagement, Subject Lines & Body Copy, and Body Copy
    • Net Zero
    • Nonprofit & Education Cloud
    • Agentforce for Developers
    • Service Replies for Services; Summarize Records; and Work Summaries

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    Related Documents

    Einstein Generative AI PDF

    Description

    Explore the principles of Salesforce's Einstein Generative AI, focusing on data safety, accuracy, and user trust. This quiz highlights key factors that sustain the integrity and effectiveness of generative AI technologies while ensuring user data remains confidential. > https://help.salesforce.com/s/articleView?id=sf.generative_ai_about.htm&type=5

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