The OpenAI ChatGPT chatbot was just released and is already quite popular. Say hello to the newest chatbot with one of the most advanced AI algorithms. You will wonder if you’re speaking to a human or a chatbot from time to time with ChatGPT. OpenAI is making a chatbot available for testing for the first time. The test phase’s goal is to provide user feedback to OpenAI so that it can improve its algorithm.
How does it work? What are the limitations? How to join the public beta? Keep reading to learn everything to step into the exciting world of AI tools.
What is OpenAI ChatGPT?
OpenAI’s ChatGPT is a brand-new AI model that is dialogue-optimized. Like the most recent GPT-3 language model, ChatGPT was developed with the help of user feedback.
OpenAI unveiled text-davinci-003, a new member of the GPT-3.5 series of AI-powered large language models, which it claims outperforms its predecessors by handling more complicated instructions and generating higher-quality, longer-form content.
OpenAI employed the same techniques as for InstructGPT, but it also gathered dialog data from people who wrote both sides of a conversation—their own and the AI assistant’s—on paper. These “AI trainers,” as OpenAI refers to them, had access to modeled recommendations that aided in creating their responses.
“Language interfaces are going to be a big deal, i think. talk to the computer (voice or text) and get what you want, for increasingly complex definitions of “want”! This is an early demo of what’s possible (still a lot of limitations–it’s very much a research release).
Soon you will be able to have helpful assistants that talk to you, answer questions, and give advice. later you can have something that goes off and does tasks for you. eventually you can have something that goes off and discovers new knowledge for you.”
OpenAI CEO Sam Altman on Twitter
It has been demonstrated that texts produced by a process known as RLHF—reinforcement learning from human feedback—are better rated by humans. Human feedback should help to eliminate hate speech and false information.
So, let’s take a closer look at the OpenAI ChatGPT demo and make a better chatbot!”
OpenAI ChatGPT demo
OpenAI ChatGPT demo can accomplish challenging tasks like:
- Q&A
- Grammar correction
- Summarizing a conversation
- Text to command prompt generation
- English to other languages translation
- Classifying items
- Translating Phyton to natural language
- Classifying tweets
- Extracting keywords from a text
- Create a spreadsheet
- Creating a study note
When it comes to becoming the most production-ready large language model, ChatGPT can:
- Decide when to respond to a question and when not to.
- Give well-thought-out, exact responses.
- Provide compelling applications for these models, such as in mathematics and global exploration.
The research release of ChatGPT is described as “the latest stage in OpenAI’s iterative deployment of increasingly safe and useful AI systems” in a recent blog post on the OpenAI website. The safety mitigations implemented for this release have been influenced by several lessons discovered through the use of earlier models like GPT-3 and Codex, including a notable reduction in harmful and untruthful outputs obtained by the application of reinforcement learning from human feedback (RLHF).
OpenAI ChatGPT demo example
We can clearly observe how the OpenAI ChatGPT has improved in the official blog. In addition to summarizing the topic, it was talking with the user, and AI could also produce a limerick, a hilarious five-line poem with the rhyme scheme “aabba.”
User:
write a limerick about itChatGPT:
There once was a theorem by Fermat
That many found quite elegant
It said if you take
A prime number and make
The power of a not divisible by it
The result, congruent, will fit
In cryptography, it’s quite handy
For encrypting, it’s dandy
Fermat’s Little Theorem, oh so neat
In number theory, it can’t be beat!User:
summarize the conversation so farChatGPT:
Conversation between a user and ChatGPT – from OpenAI blogpost
Fermat’s Little Theorem states that if pp is a prime number and aa is an integer not divisible by pp, then a^pa
(aa to the power pp) is congruent to aa modulo pp. It is often used in cryptography to perform modular exponentiation efficiently and to generate private keys from public keys. It is also a useful tool in number theory for proving other theorems. I also wrote a limerick about Fermat’s Little Theorem.
Memory is one of ChatGPT’s most distinctive features. The bot can recall earlier comments made in the conversation and retell them to the user. It differs from other competing natural language solutions because it doesn’t advance query-by-query like those that are still focusing on memory.
Azure AI supercomputing infrastructure was used to train ChatGPT and GPT 3.5.
How does OpenAI ChatGPT work?
The model InstructGPT, which OpenAI released almost a year ago in January, is the backbone of ChatGPT. It was designed to follow instructions better than the standard GPT-3. ChatGPT differs from InstructGPT in that it places a greater emphasis on continuous conversation than the latter’s simpler emphasis on simply responding to single prompts.
The training process for ChatGPT is quite similar to that of its forerunner, RLHF:
- The initial phase in gathering human data is a dialogue between two participants, one of whom serves as the user and the other as the AI assistant in ChatGPT. Real AI model responses informed the composition of the human response. A GPT-3.5 model is then adjusted using the data that has been gathered.
- The refined model then produces several outputs in response to a prompt, and the human labeler rates the outputs from best to worst. The reward model that will automate the last training phase is trained using the ranking data.
- The GPT-3.5 model (ChatGPT) is further tuned in the final step using Proximal Policy Optimization, a widely used reinforcement learning technique by OpenAI.
OpenAI ChatGPT limitations
ChatGPT provides thorough answers to all your queries and remarks, but it still has some shortcomings typical of NLP models.
ChatGPT has the capacity to produce negative, inaccurate, and toxic content, just like all NLP models. It does not cite any type of ultimate fact authority, and its knowledge base is constrained to that of the training data. It makes an effort to avoid controversial topics, yet problems can still arise. Because of this, the outputs of ChatGPT are limited by OpenAI’s Moderation API.
The training data also influence the writing style of ChatGPT; it likes to write lengthy responses to everything, repeating or reusing particular phrases frequently. It solely speculates on the meaning of confusing sentences rather than providing clarifying inquiries.
How to use OpenAI ChatGPT?
Anyone with an OpenAI account can use ChatGPT for free while it’s in research preview. Users who utilize it can comment on their responses, which will help ChatGPT get better.
To join the OpenAI ChatGPT demo, simply click here and log in or create an account.
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