Galileo's Hallucination Index report is a critical resource for AI developers, offering detailed insights into the performance and cost-effectiveness of various large language models (LLMs). This enables developers to make informed decisions to enhance the reliability and accuracy of GenAI applications. The report highlights the current landscape of LLMs and sets the stage for future advancements.
Key Findings
- Models Evaluated: The report covers 22 models, including 10 closed-source and 12 open-source models from providers like OpenAI, Anthropic, Meta, Google, and Mistral. Models were assessed based on context length capabilities and source type.
Major Trends
- Open Source Improvement: Open-source models are rapidly closing the performance gap with closed-source models.
- Model Size: Smaller models sometimes outperform larger ones, challenging the belief that bigger is always better.
- Context Length Performance: Many models maintain high performance even with extended context lengths.
- Anthropic's Dominance: Anthropic's models, particularly in shorter contexts, outperformed many competitors.
- Global Development: Companies like Mistral and Alibaba are making significant strides, highlighting the international effort in LLM development.
Overall Rankings
- Best Overall Model: Claude 3.5 Sonnet by Anthropic
- Best Open-Source Model: Qwen2-72b-instruct by Alibaba
- Best Performance for Cost: Gemini 1.5 Flash by Google
Find the full report here - Galileo LLM Hallucination Index