Build vs Buy: Making Smart Decisions About Custom LLM Models
Tom explores the critical decision between building custom LLM models versus using off-the-shelf solutions. Drawing from insights at the AWS Expo, he breaks down the real costs, challenges, and strategic considerations for organizations evaluating domain-specific AI implementations.
Build vs Buy: Making Smart Decisions About Custom LLM Models
Key Topics Covered
When to Build Custom LLM Models
- Domain-specific applications requiring specialized knowledge
- Handling proprietary or confidential information
- Real-world example: AIDoc's experience at AWS Expo
- Understanding your organization's unique requirements
True Costs of Building
- Data Preparation
- Gathering organizational historical knowledge
- Creating validation and training datasets
- Organizing proprietary information
- Training Expenses
- GPU infrastructure costs (billions spent by OpenAI, Anthropic monthly)
- Ongoing computational requirements
- Budget considerations for organizations
- Maintenance & Updates
- Keeping pace with base model improvements
- Avoiding being locked into outdated versions
- Continuous investment requirements
When to Buy Off-the-Shelf
- Non-hyper-specific use cases
- Data collation and comparison tasks
- General analysis and processing needs
- Cost-effective solutions for standard workflows
Optimizing Model Selection
- Using platforms like AWS Bedrock for model diversity
- Balancing accuracy vs. cost vs. performance
- Example: Claude Opus vs. Sonnet vs. Haiku trade-offs
- Avoiding "overkill" with expensive models
- Testing and validation strategies
Key Takeaways
- Don't default to the most expensive model
- Test multiple options before committing
- Understand total cost of ownership for custom builds
- Match model capabilities to actual requirements
- Consider the rapid pace of AI ecosystem changes
Mentioned Companies/Platforms
- AWS (Amazon Web Services)
- AWS Bedrock
- AIDoc
- OpenAI
- Anthropic (Claude models: Opus, Sonnet, Haiku)
Resources
- AWS Expo insights and presentations
- Open source foundation models for custom building
Chapters
- 0:02 - Introduction: The Build vs Buy Debate
- 0:25 - When Building Custom Models Makes Sense
- 2:02 - The Real Costs of Building Your Own Model
- 3:35 - Real-World Example: AIDoc at AWS Expo
- 4:09 - The Case for Off-the-Shelf Solutions
- 5:44 - Optimizing Model Selection and Cost
- 6:46 - Final Recommendations and Wrap-Up
