LLM and AI Model Comparison

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LLM and AI Model Comparison

The world of LLMs is evolving rapidly. This skill systematically covers everything about leveraging LLMs — from comparing the characteristics of Claude, GPT, Gemini, and Llama, to prompt engineering, RAG, fine-tuning, and evaluation methodologies.

Target Audience

• Engineers developing applications powered by LLMs
• Professionals evaluating and comparing AI models
• Those seeking to master prompt engineering

Prerequisites

• Foundational AI/​ML concepts
• Basic knowledge of Web APIs
• Basics of Python or TypeScript

Learning Guide

00-fundamentals — LLM Fundamentals

01-models — Model Comparison

02-techniques — Applied Techniques

03-applications — Applications

04-evaluation — Evaluation and Safety

Quick Reference

LLM Model Comparison (as of late 2024):

  Model           | Strengths              | Cost    | Use Case
  ────────────────┼────────────────────────┼─────────┼─────────────
  Claude Opus     | Reasoning, analysis,   | High    | Complex tasks
                  | coding                 |         |
  Claude Sonnet   | Well-balanced          | Medium  | General purpose
  GPT-4o          | Multimodal             | High    | General purpose
  Gemini Pro      | Long context, search   | Medium  | Google integration
                  | integration            |         |
  Llama 3         | Open, customizable     | Self-   | Self-hosting
                  |                        | hosted  |
  Mistral         | Cost-effective,        | Low-Med | EU projects
                  | EU-based               |         |

References

1. Anthropic. "Claude Documentation." docs.anthropic.com, 2024.
2. OpenAI. "API Documentation." platform.openai.com, 2024.
3. Vaswani, A. et al. "Attention Is All You Need." NeurIPS, 2017.