In terms of use case, the SeaLLM-7B and Llama2-7B models are used for RAG, NER, and Sentiment analysis. On the other hand, the SQLCoder-34B model is used for Text-to-SQL. The article concludes with a table summarizing the features, prices, and use cases of the three models.
Key takeaways:
- The SeaLLM-7B and Llama2-7B models both cost $0.2 per million tokens.
- The price for the SQLCoder-34B model is yet to be announced.
- All three models have different use cases: SeaLLM-7B and Llama2-7B are used for RAG, NER, and Sentiment analysis, while SQLCoder-34B is used for Text-to-SQL.
- The feature comparison table provides a summary of the price and use case for each model.