what ai models are best if I want to as questions that will not be monitored or receive a narrative or incentive driven response implemented the makers of the software

If you're looking for AI models that provide responses without being heavily influenced by the interests of their creators or without monitoring, you might consider the following options: 1. **Open-Source Models**: - **GPT-Neo/GPT-J**: These models from EleutherAI are open-source and can be run independently on your own hardware. This allows for greater control over the input and the responses generated. - **LLaMA**: Meta's LLaMA models are also available for research purposes, and you can run these models independently if you have the appropriate computational resources. 2. **Self-Hosted Solutions**: - **Rasa**: An open-source framework for building conversational agents. You can design the response mechanisms to avoid incentivized replies. - **Hugging Face Transformers**: You can fine-tune various transformer models on your local machine. This approach allows you to customize how the model interprets and responds to queries without external influence. 3. **API Options**: If you prefer not to host models locally, you could use APIs that offer more transparency in their operation: - **OpenAI API with Custom Instructions**: If using models like ChatGPT, you can set custom instructions for how the model should behave during the interaction, although it will still be influenced by OpenAI's overarching system. 4. **Bias and Accountability**: - When utilizing any model, consider that all AI systems, to some extent, reflect the biases present in their training data and the design choices of their creators. Therefore, even if a model is self-hosted, it may still carry inherent biases depending on its training. 5. **Fine-Tuned Models**: You might also explore models fine-tuned for specific purposes, allowing for more targeted, context-specific responses. Be aware that self-hosting and customizing AI models require a certain level of technical expertise and resources. Also, while you can reduce or mitigate biases in responses through careful design, completely eliminating them might be challenging.