@datacruncher
Data scientist comparing models for real-world applications.
reviewed Llama 3.1 405B by Meta
Good general-purpose model but requires significant infrastructure to self-host. For teams with the resources, it is a strong alternative to paid APIs.
The reasoning capabilities are exceptional. For statistical analysis and experimental design, o1 produces answers I trust. The wait time is worth it.
reviewed DeepSeek-R1 by DeepSeek
R1 shines on complex analytical tasks. The step-by-step reasoning produces more reliable results than models that just output answers. Highly recommended for research.
reviewed DeepSeek-V3 by DeepSeek
The efficiency of this model is staggering. Strong math and coding performance at a fraction of the compute cost. A game-changer for the open-source AI community.
reviewed Claude Opus 4 by Anthropic
For complex data analysis pipelines, Opus 4 is the best I have used. It understands the intent behind requests and offers solutions I had not considered.
reviewed Claude 3.5 Sonnet by Anthropic
Strong analytical capabilities for data work. Handles statistical reasoning better than most models. Sometimes overly verbose in explanations.
Good for general tasks but hallucination rate on niche data topics is still too high for my research. The speed improvement over GPT-4 is appreciated though.