Bias in training data One of the biggest ethical concerns with ChatGPT is its bias in training data. If the data the model pulls from has any bias, it is reflected in the model's output. ChatGPT also does not understand language that might be offensive or discriminatory. The data needs ...
human feedback (RLHF). In RLHF, the model’s output is given to human reviewers who make a binary positive or negative assessment—thumbs up or down—which is fed back to the model. RLHF was used to fine-tune OpenAI’s GPT 3.5 model to help create the ChatGPT chatbot that went ...
How does one take their first AI steps? Individuals can interface directly with a number of AI tools like ChatGPT and Claude, but when you need to connect AI abilities to another system, you need what’s called an API, or Application Programming Interface. Moodle currently works with Microsof...
Unlike ChatGPT, Google Bard has access to all of the internet. That means it can reference current events and modern context. Thatdoesn’t, however, mean that all its information is 100% correct. As Google admits, Bard is prone to hallucinations. For example, I asked Bard who the editors...
But if we can control or correct this bioelectricity, the implications for our health are remarkable: an undo switch for cancer that could flip malignant cells back into healthy ones; the ability to regenerate cells, organs, even limbs; to slow ageing and so much more. In We Are Electric,...
Thus, while a high log probability may indicate that the output is fluent and coherent, it doesn’t mean it’s accurate or relevant. While careful prompt engineering can help to some extent, we should complement it with robust guardrails that detect and filter/regenerate undesired o...
1. ChatGPT ChatGPT has infiltrated almost every technology sector, and the healthcare field is no exception. This natural language processing tool is being integrated in many aspects of medical technology. Not only are medical practitioners seeing their workday streamlined with ChatGPT, but it can...
Bias in training data One of the biggest ethical concerns with ChatGPT is its bias in training data. If the data the model pulls from has any bias, it is reflected in the model's output. ChatGPT also does not understand language that might be offensive or discriminatory. The data needs ...
human feedback (RLHF). In RLHF, the model’s output is given to human reviewers who make a binary positive or negative assessment—thumbs up or down—which is fed back to the model. RLHF was used to fine-tune OpenAI’s GPT 3.5 model to help create the ChatGPT chatbot that went ...
Thus, while a high log probability may indicate that the output is fluent and coherent, it doesn’t mean it’s accurate or relevant. While careful prompt engineering can help to some extent, we should complement it with robust guardrails that detect and filter/regenerate undesired output. For ...