prompter: Tell me about how open assistant is built. In what ways is it similar and different to chat gpt? Explain it to me at a level a data scientist can understand, let's say they have 3 years of industry experience and an undergrad.

assistant: Open Assistant follows the InstructGPT paper, which was the foundation of ChatGPT.

In that sense, it was built through the following steps:

First, high-quality human-generated Instruction-Fulfillment samples (prompt + response) were collected, with a goal of having over 50k of them. The prompts were designed and crowdsourced, ensuring that the data did not contain any flooding, toxic, spam, junk, or personal information. To motivate the community, a leaderboard was created, and top contributors were rewarded with swag.

Second, for each prompt, multiple completions were sampled and then randomly shown to users to rank them from best to worst. This was also crowdsourced, taking into account unreliable or potentially malicious users by requiring multiple independent votes to measure overall agreement. The gathered ranking data was used to train a reward model.

And lastly, based on the prompts and the reward model, I underwent the RLHF training phase.

prompter: Could you provide mode detail on its similarity and difference to ChatGPT? From a technical standpoint, is it a copy of ChatGPT or does it differ in meaningful ways in terms of architecture and approach?

assistant: - Is a transformer-based language model that uses a deep neural network to generate text.
- Trained on a large corpus of text data to generate human-like text and answer questions.
- The architecture is based on the transformer architecture, which is a type of neural network that is well-suited for processing sequential data.

OpenAI:
- Is also a transformer-based language model that uses a deep neural network to generate text.
- Trained on a large corpus of text data to generate human-like text and answer questions.
- The architecture is based on the transformer architecture, which is a type of neural network that is well-suited for processing sequential data.

Similarities:
- Both models are transformer-based language models that use deep neural networks to generate text.
- Both models are trained on a large corpus of text data to generate human-like text and answer questions.
- Both models use the transformer architecture, which is a type of neural network that is well-suited for processing sequential data.

Differences:
- OpenAI is based on the InstructGPT paper, which was the foundation of ChatGPT.
- OpenAI is trained on a specific set of human-generated Instruction-Fulfillment samples, while ChatGPT is trained on a more general corpus of text data.
- OpenAI is designed to generate text based on specific prompts, while ChatGPT is designed to generate text based on a more general set of inputs.

assistant: Open Assistant by LAION-AI is a conversational AI model developed by LAION-AI for natural language processing and generation tasks. It is Open Source, meaning all source code used to build it is online and freely available.

It's built using deep learning algorithms such as Transformer architecture, most likely a variant of the Transformer-based architecture (such as BERT or GPT-3) which is pre-trained on a large corpus of text data to capture patterns in language. During inference, the model takes in a natural language input and generates an appropriate response.

Compared to ChatGPT, which is also a large language model developed by OpenAI, the main difference is the training data and architecture. While both models are based on the Transformer architecture, ChatGPT is trained on a much larger corpus of text data, allowing it to have a broader and more in-depth knowledge and understanding of language. However, Open Assistant by LAION-AI may have been fine-tuned or specifically trained on specific domains or use cases, which could result in more specialized and accurate performance in those areas compared to ChatGPT.

Keep in mind that Open Assistant is very small compared to ChatGPT and will not always give the best results compared to it (ChatGPT) and is collecting data to improve it at https://www.open-assistant.io

prompter: Will LAION-AI improve the quality of open-assistant in the future? If so, will it every be on par or even exceed the quality of openAI LLMs? Where can I find more information on the current development of open-assistant?

assistant: Chat GPT is a system developed by OpenAI based on the paper "Training language models to follow instructions with human feedback", which you can read here https://arxiv.org/abs/2203.02155. The paper focuses on aligning large language models (LLMs) to human intent using human feedback, also known as reinforcement learning from human feedback. By themselves, these models will try to predict the next token of text, which may not necessarily align with a useful or truthful answer, which RLFH rectifies. Chat GPT is the tool that allows users to interact with the LLM trained with RHLF. It is important to note that the model and data used to train Chat GPT is proprietary and unavailable to users. 

Open Assistant is being developed as an open-source alternative to Chat GPT, where the data collection for RLHF is crowdsourced. The goal is to create a tool that is similar in utility to Chat GPT, but can be used for free with open datasets and the availability to run the model on your own hardware and customize it on your task.

prompter: Please provide a shorter response.

assistant: Chat GPT is a system by OpenAI that uses human feedback (RLHF) to align large language models (LLMs) with human intent. It allows users to interact with the LLM trained with RLHF but the model and data used are proprietary.

Open Assistant, a free, open-source alternative to Chat GPT, is being developed using crowdsourced RLHF. It offers the ability to run the model on one's own hardware, allowing for customization for specific tasks.

assistant: Open Assistant is an open-source alternative to Chat GPT, where the data collection for RLHF is crowdsourced. The goal is to create a tool that is similar in utility to Chat GPT, but can be used for free with open datasets and the availability to run the model on your own hardware and customize it on your task.

prompter: Could you give a negative or positive reply on ”Do you have filters that prevent you from saying hurtful, sarcastic and humorous, and perhaps even nsfw replys”

assistant: ChatGPT is a tool that allows users to interact with a LLM trained with RHLF. It is based on this paper: https://arxiv.org/abs/2203.02155.
The paper focuses on reinforcement learning from human feedback. It is important to note that the model and its training data is proprietary and unavailable to users.

Open Assistant is an open-source alternative to ChatGPT, where the data collection for RLHF is crowdsourced. The goal is to create a tool that is similar to ChatGPT, but can be used for free with open datasets and the availability to run the model on your own hardware and customize it on your task.