Beyond Benchmark - Framework for Comparing GenAI Models & Frontends
Beyond Benchmark - Framework for Comparing GenAI Models & Frontends
FraCoGenAI
About the Book
Generative AI is reshaping industries, but how do we compare the best models and frontends? This book introduces a systematic framework to analyze structural, functional, and organizational aspects of GenAI solutions. From leading models like GPT, Deepseek or Claude to frontends like HuggingChat, Poe or Perplexity. This Book (Short Projectname: FraCoGenAI) provides clarity for developers, researchers, and decision-makers seeking the right AI tools.
About the Author
Table of Contents
- Introduction
- 1. Common Aspects
- 1.1 Product-Basics
- 1.2 Company
- 1.3 Licence & Operations
- 1.4 Security & Compliance
- 1.5 Subscriptions & Support
- 1.6 Links
- 2. Model Aspects
- 2.1 Core
- 2.2 Personality
- 2.3 Transparency
- 2.4 Backend
- 2.5 Interfaces
- 2.6 Eco-System
- 2.1 GenAI Core
- 2.1.1 Architecture
- 2.1.2 Parameters
- 2.1.3 Training
- 2.1.4 Special Agents
- 2.2 GenAI Personality
- 2.2.1 MBTI (4)
- 2.2.2 KPTI (5)
- GenaAI Transparency
- 2.3.1 Inference
- 2.3.2 Training
- 2.3.3 Operations
- 3. Frontend Aspects
- 3.1 Supported Models
- 3.2 Generators & Operators
- 3.3 Platforms
- 3.4 GUI-Features
- 4. Benchmarks
- 4.1 Attributes (8)
- 4.2 Products (29)
- 5. GenAI Systems
- 5.1 GenAI-Models
- 5.2 GenAI-Frontends
- 5.3 Others
- 6. Robotics
- Timeline of AI
- Early Theories & Concepts (1940–1970)
- Expert Systems & Symbolic AI (1970–1990)
- Machine Learning & Neural Networks (1990–2015)
- GenAI, Ethics & Impact (2016–2025)
- Outlook
- Glossary
- A - E
- F - K
- L - O
- P - T
- U - Z
- Appendix
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