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Asking Mistral 8x7b-32768:

** Prompt: Is this classification correct: LLM Providers are { Hugging Face, Open AI, Anthropic }. Think step by step. Be very precise and return with YES or NO only for each Provider in the list.

Response: For each provider in the list:

Hugging Face: No, Hugging Face is not a large language model provider. They are a technology company that provides a platform for NLP and AI, offering a wide range of pre-trained models, including large language models, through their transformers library. OpenAI: Yes, OpenAI is a large language model provider, as they have developed several large language models, like GPT-2 and GPT-3. Anthropic: Yes, Anthropic is a large language model provider, as they have developed large language models, like Claude.

In summary, the classification "LLM Providers are { Hugging Face, Open AI, Anthropic }" is not entirely accurate. A more precise classification would be "NLP organizations/companies { Hugging Face }" and "LLM Providers { OpenAI, Anthropic }". **



If the model outputs “yes” or “no” before giving its CoT explanation then the explanation is worthless for improving the final decision.


There are imperfect correlations in both stream directions, but forward is probably more causal, as you say.




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