This series of articles is meant to give you a good introduction into LLM world and how you can use GenAI capabilities and embedd them in you Pega solutions. Series is called a cookbook so we aim to provide you a recipe on how you can harness GenAI together with Pega.
While we still work on most of below sections.
1 Foundations
This section establishes the fundamental knowledge that helps understand generative AI technologies, covering both technical concepts and operational considerations. This knowledge is not required but beneficial in order to be fluent with GenAI enabled tools.
1.1 Core Concepts
How LLMs Work
-
What Are Large Language Models (LLMs)? — IBM’s high-level explanation of LLM principles, training, inference, and use cases. IBM: What Are Large Language Models (LLMs)?
-
Microsoft Learn on How GenAI Works — Good for discussing responsible use, limitations, and operational considerations. How Generative AI and LLMs Work (Microsoft Learn)
-
Comprehensive LLM Survey (arXiv) — Deep academic review covering training, evaluation, and advanced concepts in LLM research. A Comprehensive Overview of Large Language Models (arXiv)
-
Google Developer Crash Course (ML & LLM Fundamentals) — Includes neural network basics and how embeddings/tokenization relate to LLMs. Introduction to Large Language Models | Google Developers
LLM Embeddings
Tokens and context window
1.2 Practical Skills & Patterns
-
Prompt Engineering: Prompt Engineering Guide - Intellek
-
Awesome prompts - extensive list of prompts and promting best practices
-
Building Effective Agents: Anthropic’s Building Effective Agents
-
Prompt Engineering Research Survey (arXiv) — Academic deep dive into prompt techniques and applications. A Systematic Survey of Prompt Engineering (arXiv)
-
Prompt Pattern Catalog (arXiv) — Practical patterns you can cite as examples. A Prompt Pattern Catalog to Enhance Prompt Engineering (arXiv)
-
Prompt Design and Engineering (arXiv) — Covers advanced prompting and agent-oriented prompting. Prompt Design and Engineering: Intro & Advanced Methods (arXiv)
-
Agentic Design Patterns - https://github.com/sarwarbeing-ai/Agentic_Design_Patterns/blob/main/Agentic_Design_Patterns.pdf
-
Event Streaming Explained: https://community.pega.com/conversations/user-experience/make-pega-agents-feel-instant%3A-event-streaming-explained
2 GenAI at Pega
Once familiar with GenAI and LLM basics, let’s explore Pega GenAI capabilities.
Pega’s GenAI suite integrates generative AI capabilities throughout the platform to accelerate development and enhance user experiences.
- Pega GenAI Product Suite: Pega Academy Overview
- Pega GenAI in Pega Cloud: Complete Documentation
- Pega GenAI Autopilot: Autopilot Features - Docs
- Pega GenAI Coach: Enabling GenAI Coach
- What’s New in GenAI: Latest Updates - Pega Academy
3 Getting Started with Pega GenAI
This section provides practical guidance for implementing and leveraging Pega’s GenAI capabilities in your applications.
Guide on finding the GenAI Sweet-Spot in your Case Design: https://support.pega.com/discussion/guide-finding-genai-sweet-spot-your-case-design
3.1 Pega GenAI Suite Overview: The Complete Product Landscape
- Implementation Guide: Implementation of Pega GenAI - Pega Academy
- Generative AI in Pega: Pega Academy Topic
- Overview of Pega AI: Pega Cloud Documentation
3.2 GenAI Coach: Your AI Development Assistant Productivity Boost
- Introduction to GenAI Coach for Sales: Pega Academy
- Mastering Pega with GenAI: Socrates, Buddies, and Coach - Community Blog
- Taking a Closer Look at Pega’s GenAI Capabilities: Video Tutorial - Pega Community
3.3 Knowledge Buddy
3.4 Doc AI
4 GenAI Technical Deep Dive
Developer-focused resources for integrating GenAI capabilities into applications through APIs, SDKs, and development tools.
- Pega GenAI API Integration: Integrating with Pega GenAI - Docs
- Pega Knowledge Buddy Implementation: Complete Guide
5 GenAI Recipies
Ready to get hands on experiance with Pega GenAI capabilities? Take a look on a recipes:
GenAI Recipes