Upcoming AI Model tierlist!

Key Concepts:

• LLMs (Large Language Models): Powerful AI models used for various tasks.
• Tier List (S to F): A ranking system to evaluate LLMs based on performance.
• Reasoning Models: LLMs specifically designed for complex problem-solving.
• API Pricing: The cost of accessing and using LLMs through their application programming interfaces.
• Business and Automation Tasks: Applications of LLMs in streamlining business processes.

LLM Tier List for Business and Automation

The speaker introduces a tier list evaluation of various Large Language Models (LLMs) based on their performance in business and automation tasks. The ranking system ranges from S tier (best) to F tier (worst). The evaluation covers major LLMs, excluding smaller or less prominent models.

Evaluation Criteria

The evaluation focuses on several key factors:

• Task Suitability: Identifying which LLMs are best suited for specific business and automation tasks.
• Reasoning Capabilities: Assessing the effectiveness of reasoning models in complex problem-solving scenarios.
• API Pricing: Comparing the cost of accessing different LLMs through their APIs, highlighting significant price variations (up to 100x difference).
• Practical Usage: Sharing real-world examples of how the speaker has used these LLMs and providing guidance on how others can implement them.

Reasoning Models

The speaker emphasizes the importance of reasoning models for certain tasks and aims to identify which reasoning model performs better.

API Pricing Considerations

A key point is the often-overlooked aspect of API pricing. The speaker highlights the substantial differences in cost between different LLM APIs, which can significantly impact the overall cost of implementation.

Practical Applications and Guidance

The speaker intends to provide actionable insights by sharing their experiences using these LLMs and offering practical advice on how to leverage them effectively for business and automation purposes.

Conclusion

The episode aims to provide a comprehensive guide to selecting the right LLM for specific business and automation needs, considering factors such as performance, reasoning capabilities, and API pricing. The goal is to empower viewers with the knowledge to make informed decisions and effectively implement LLMs in their workflows.