The Dataiku Blog
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Introducing the LLM Mesh
A Common Backbone for Generative AI Applications
The LLM Mesh enables organizations to efficiently build enterprise-grade applications while addressing concerns related to cost management, compliance, and technological dependencies. It also enables choice and flexibility among the growing number of models and providers. In this 30-minute session, get an overview of the challenges organizations face in implementing Generative AI use cases today and how the LLM Mesh — and Dataiku — addresses those challenges.
Bridging the Gap Between the Model and the Business
Use Cases and Design Patterns for Generative AI in the Enterprise
Introducing Dataiku's RAFT Framework for Responsible Generative AI Applications
Choosing an LLM for Your Generative AI Use Case
From Talk to Action: How LLMs Can Act in the Real World
Face Your GenAI Fears With Dataiku
Show & Tell: How to Get 100% Well-Formatted LLM Responses
Understanding the Dataiku LLM Mesh Architecture
Unpack & Simplify Mainstream Generative AI With Dataiku & Snowflake
Build a Secure, Effective Generative AI-Based Chatbot (Fast) With Snowflake & Dataiku
Using LLMs for Enterprise Use Cases: How Much Does It Really Cost? (Featuring TitanML)
An Architecture Paradigm for LLM-Powered Applications: The Why and How of an LLM Mesh
Bringing Enterprise Generative AI to Life With RAG
From Concept to Reality: GenAI With Dataiku
How the JBS Sustainability Group Revolutionized Its Audits Process with Generative AI
From Complexity to Clarity: Akamai Technologies' AI Chatbot for Superior Data Discovery and Stewards
NVIDIA & Dataiku — Better Together
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