How can you measure ROI on GenAI for your team? 🤔
Internal evaluations and intentionality.
We've helped thousands of orgs put LLMs to work and ACTUALLY save time. On today's show, we're dishing the 7 steps you need to follow.
What’s the best LLM for your team? 7 Steps to evaluate and create ROI for AI -- An Everyday AI chat with Jordan Wilson
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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:
- Choosing the Right Large Language Model
- Evaluating LLMs for Business ROI
- Front-End AI Operating Systems Explained
- Common Traps in AI Model Evaluation
- Public Benchmarks for LLM Evaluation
- Seven-Step LLM Evaluation Framework
- Measuring Pre-GenAI Human Baselines
- Building Realistic AI Test Datasets
- Calculating ROI for GenAI Implementation
- Monthly Retesting and AI Model Updates
Timestamps:
00:00 Choosing the Right AI Model
07:02 Adapting Workflows for AI Integration
10:58 "Gemini's Versatile Modes Overview"
14:30 Avoiding AI Shiny Object Syndrome
15:36 AI Evaluation for Reliability and Improvement
20:36 "Data Testing Guide Essentials"
25:15 Realistic and Messy Data Essentials
26:06 "Building Effective AI Workspaces"
31:08 AI Evaluation and ROI Calculation
34:11 Human Oversight in AI Testing
35:52 Evaluating GenAI Use Cases
39:00 "NotebookLM: AI-Powered Idea Organizer"
Keywords:
Large Language Model, LLM, generative AI, AI operating system, front end AI models, AI evaluation, model ROI, model evaluation steps, AI benchmarks, scientific benchmarks, API connection, enterprise AI, ChatGPT, Claude, Gemini, Copilot, team AI adoption, knowledge worker AI, operating system choice, productivity modes, connectors, deep research mode, agent mode, image generation, web search, Canvas mode, advanced voice mode, business process automation, workflow evaluation, change management, AI training,
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