Generative AI and LLM Mesh

• Introduction
  • Dataiku Generative AI Capabilities
  • Using the LLM Mesh
• LLM connections
  • Hosted LLM APIs
  • Locally-running HuggingFace models
• Running Hugging Face models
  • Cautions
  • Pre-requisites
  • Configuring a text generation model
  • Test
  • The model cache
• The Prompt Studio
• Adding Knowledge to LLMs
  • Introduction to Knowledge and RAG
  • Initial setup
  • Your first RAG
  • Working with Vector stores
  • Advanced Search
  • Embedding and searching documents
  • RAG guardrails
  • GraphRAG
• Chat UI
  • Overview
  • Going further
• Building Agents
  • Introduction to Agents in Dataiku
  • Visual Agents
  • Code Agents
  • Managed tools
  • Tracing
• Guardrails
  • Introduction to guardrails
  • PII detection
  • Prompt injection detection
  • Toxicity detection
  • Topics Boundaries
  • Bias Detection
  • Custom Guardrails
• LLM Mesh API
• Multimodal capabilities
  • Image input
  • Image output
• Fine-tuning
  • Setup
  • Using the Fine-tuning recipe
  • Using Python code
• Cost Control
  • Concepts
  • Limitations
  • Setup
• Evaluating GenAI use cases