user: How would you create a AI like ChatGPT? Like for example I want to train a AI with data and informational resources that help me with my tasks. How would i make the AI take into account my previous questions and its previous answers like ChatGPT does. As far as I have researched, I couldnt find a AI model that can do that, at least it didnt say it anywhere. Can any AI language model do that already and if not, can I easily implement that functionality without too much coding?

assistant: Creating an AI like ChatGPT is a complex task that requires a significant amount of resources and expertise. Here is a general overview of the steps involved:

1.  Data Collection: The first step is to gather a large dataset of text data that will be used to train the AI. This dataset should be diverse and representative of the types of tasks and questions that the AI will be expected to handle.

2.  Preprocessing: The dataset needs to be preprocessed to prepare it for training. This includes cleaning and formatting the data, as well as tokenizing it (i.e. breaking it down into individual words or phrases).

3.  Training: Once the data is prepared, it can be used to train the AI. This is typically done using a machine learning algorithm such as a neural network. The AI is trained to recognize patterns in the data and generate responses based on those patterns.

4.  Fine-tuning: The AI can be fine-tuned to adapt to specific tasks or domains by training it on additional data and adjusting its parameters.

5.  Implementing context awareness: To allow the AI to take into account previous questions and answers, you will need to implement a mechanism for the AI to maintain and retrieve context information. This can be done by storing the previous questions and answers along with the context in a database and using that information to inform its responses.

Currently, there are some AI language model like GPT-3 and GPT-4 that can take into account previous questions and answers and maintain context. However, using these models for a specific task or domain would require fine-tuning them on the specific data and adjusting their parameters.

Creating an AI like ChatGPT is a challenging task that requires a lot of data, computational resources and expertise, it is not something that can be easily done without significant coding. However, there are pre-trained models and pre-built platforms that can be fine-tuned to a specific task and used with less coding.

user: Is RLHF necessary to create a ChatGPT-like AI?

assistant: We don't yet know at the moment what all the possible pathways are towards building an AI that possesses similar qualities to chatGPT, but RLHF seems like a promising step forward because it allows us to model the reward function for promising replies which allows the assistant to become more generally useful in terms of responding to instructions. Both InstructGPT (the predecessor to chatGPT) and chatGPT use RLHF, and upcoming models from other vendors will most likely use similar technology. In fact, I am being trained with RLHF too! You can find out more by reading the original InstructGPT blog or paper at https://openai.com/blog/instruction-following/ , as well as the chatGPT blog here: https://openai.com/blog/chatgpt/ . Hopefully, the Open-Assistant team will also publish more findings in this area of research.