Learning hub

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Pulze Academy: Onboarding Training for AI Platform

Welcome to the Pulze Academy! This documentation serves as your comprehensive guide to the onboarding training for our AI platform. Here, you’ll find detailed agendas, session descriptions, and links to instructional videos to enhance your learning experience.

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Training Overview

Our training is divided into three levels: Beginner, Advanced, and Expert. Each session is designed to help you master the platform’s features and functionalities.

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Beginner Sessions (Total Duration: 1.5 hours)

1. Introduction to Spaces (2 mins)

   • Objective: Understand the concept of “Spaces” and their purpose within the platform.
   • Content: Definition of a Space, explanation of Threads, and an example prompt.
   • Activity: Create a simple “Hello World” Thread.

2. Understanding LLM Models (1 min)

   • Objective: Learn about Large Language Models (LLMs) and model selection.
   • Activity: Explore an example prompt to clarify LLMs.

3. Comparing LLM Answers (2 mins)

   • Objective: Learn to compare responses from different LLMs.
   • Activity: Fetch answers for a specific question and choose the best one.

4. Forking Conversations (1 min)

   • Objective: Understand how to branch off conversations.
   • Activity: Practice forking a conversation based on selected answers.

5. Introduction to Prompt Engineering (1 min)

   • Objective: Learn how different prompts affect outputs.
   • Activity: Modify prompts and observe changes.

6. Data Upload and Summarization (2 mins)

   • Objective: Learn to upload public data and summarize it.
   • Activity: Upload and summarize an article.

7. Creating a New Space (1 min)

   • Objective: Understand space creation and RBAC basics.
   • Activity: Create a space and invite a colleague.

8. Searching and Organizing Spaces (1 min)

   • Objective: Learn how to search and organize spaces.
   • Activity: Search for a specified topic.

9. Introduction to @-Reference System (1 min)

   • Objective: Understand the @-reference system.
   • Activity: Use web-search and labeling.

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Advanced Sessions (Total Duration: 1 hour)

1. System Prompts and Space Settings (3 mins)

   • Objective: Learn about system prompts and their impact.
   • Activity: Configure a system prompt.

2. Assistant Configuration (2 mins)

   • Objective: Explore configuration options for spaces.
   • Activity: Adjust settings for a space.

3. Uploading Data and Labels (3 mins)

   • Objective: Learn to upload data and organize with labels.
   • Activity: Upload a dataset and categorize it.

4. Understanding @-Reference System Differences (7 mins)

   • Objective: Differentiate between file search methods.
   • Activity: Practice both methods with sample files.

5. Adding a Webpage as a Data Source (5 mins)

   • Objective: Learn how to add a webpage as a data source, index its content, and utilize it for analysis.
   • Content:
     • In this session, we will add a technology news article from TechCrunch as a data source to our AI platform.
     • By entering the URL of the article, our platform creates a snapshot of the page as it currently exists.
     • The platform will then index the content, which processes the text and makes it searchable within our system.
     • It’s important to comply with the webpage’s robots.txt file, which dictates whether we can crawl and index the page. This ensures we respect privacy and legal boundaries.
     • After indexing, you can create labels for the data points, such as “AI” for articles related to artificial intelligence, enabling better organization and retrieval.
     • If the content on the webpage updates, you can easily re-index the page to reflect the latest information, which is crucial for maintaining accuracy in research and analysis.
     • You can also analyze the sentiment of the article or extract key insights to inform your strategies.
     • For example, you can ask the platform to summarize the article, saving you time in understanding its content.
     • This feature allows you to build a comprehensive view of relevant articles and news, enhancing your ability to stay informed on topics of interest.
   • Activity: Experiment with adding various technology news articles or documentation pages as data sources, and explore how you can utilize the indexed content for chatbot development or data analysis.

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Expert Sessions (Total Duration: 1 hour)

1. Permission System/RBAC (3 mins)

   • Objective: Understand permission levels and their implications.
   • Activity: Set permissions for a space.

2. Model Whitelisting for Admins (3 mins)

   • Objective: Learn how admins manage model availability.
   • Activity: Demonstrate whitelisting a model.

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Video Resources

Each session is recorded and available for revisiting. Access our training videos through the playlist below:

Watch the Pulze Academy Training Videos

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Conclusion

Thank you for participating in the Pulze Academy onboarding training! We encourage you to explore the platform, practice the concepts discussed, and revisit the video resources as needed. Your journey to mastering the AI platform begins now!