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Shoddy_Vegetable_115@alien.topBto LocalLLaMA•NeuralChat 7B: Intel’s Chat Model Trained with DPOEnglish1·1 year agoExactly. It didn’t hallucinate even once in my tests. I used RAG and it gave me perfect to-the-point answers. But I know most people want more verbose outputs it’s just that it’s good for factual retrieval use cases.
It returns a JSON with function name and respective arguments which you can parse later in the program and call the function with those arguments given by the model.
Shoddy_Vegetable_115@alien.topOPBto LocalLLaMA•Which model is best for binary text classification?English1·2 years agoMy classification task is to classify a given essay into AI generated and human generated. And I need the answer to be between 0 and 1(both included) with 1 being AI generated and 0 being human generated.
Few-shot examples is a good idea for most classification tasks but I don’t think Generative LLMs can understand the more intricate semantic patterns to differentiate between the AI and human generated with just a few examples but I’ll try it once and let you know!
Btw do you think fine-tuning would be better?
What’s the correct prompt template for this specific model?