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While anticipation builds for GPT-4, OpenAI quietly releases GPT-3.5


OpenAI has released a series of AI models based on GPT-3.5, an improved version of GPT-3. GPT-3.5 appears to be more sophisticated, more thorough, and more grammatically correct than its predecessor, as well as better at tasks such as generating blog posts and understanding instructions. It is also better at writing songs and poetry, and it has a better sense of humor. It is unclear exactly why GPT-3.5 is better than GPT-3, but it is likely related to its training approach, which involved human trainers ranking and rating the model's responses. OpenAI is also developing a language model that can look up information on the web and cite sources for its answers.


What is GPT-3.5 and how is it different from GPT-3?
GPT-3.5 is an improved version of GPT-3, released by OpenAI. It is better at understanding complex instructions, generating blog posts, composing songs, limericks and rhyming poetry, and being witty.

What improvements has GPT-3.5 made to text-generating AI?
GPT-3.5 is better at understanding complex instructions, generating blog posts, composing songs, limericks and rhyming poetry, and being witty.

How did OpenAI train GPT-3.5?
OpenAI trained GPT-3.5 by ingesting huge amounts of content from the web, including hundreds of thousands of Wikipedia entries, social media posts and news articles. They also used human trainers to rank and rate the way early versions of the model responded to prompts, and then fed this information back into the system to tune its answers to match the trainers’ preferences.

What features does GPT-3.5 have that GPT-3 does not?
GPT-3.5 has a notion of meters like iambic pentameter, is wittier than GPT-3, and can explain Python code in the style of Eminem. It can also go and look up information on the web (via Bing) and give sources for its answers.

What are the limitations of GPT-3.5?
GPT-3.5 is still prone to making stuff up, has limited knowledge of the world after 2021 due to its sparse training data, and its safeguards against toxic output can be circumvented.

AI Comments

👍 OpenAI's GPT-3.5 has demonstrated impressive advances in the ability of AI to generate text, with the model responding to prompts with greater verboseness, understanding of instructions, and wit compared to its predecessor GPT-3.

👎 Despite its advancements, GPT-3.5 still has its limitations, as it is still prone to making up facts and can be circumvented to generate toxic output.

AI Discussion

Me: It talks about a new AI model called GPT-3.5, which is an improved version of the GPT-3 model. Apparently, it is better at writing more complex sentences and understanding context better than the GPT-3 model. It can also generate more accurate and detailed blog posts and poetry, as well as songs and limericks.

Friend: Wow, that's really impressive. What implications does this have?

Me: Well, this could have huge implications for the field of AI. GPT-3.5 could be used to help create more sophisticated chatbots and generate more realistic text. It could also be used to help companies create better content marketing, as well as improve natural language processing and other AI applications. Additionally, GPT-3.5 could be used to help reduce the costs of developing AI models, since it requires fewer parameters than the GPT-3 model.

Action items

Technical terms

The successor to GPT-3, most likely called GPT-4, is expected to be unveiled in the near future, perhaps as soon as 2023.
OpenAI's improved version of GPT-3, which was released quietly and used to create several systems fine-tuned for specific tasks.
A fine-tuned version of GPT-3.5 that’s essentially a general-purpose chatbot.
When an AI writes inconsistent, factually incorrect statements.
A family of GPT-3-based models released by OpenAI earlier this year that are less likely to generate problematic text while more closely aligning with a user’s intent.
A model based on GPT-3.5 that can handle more complex instructions than models built on GPT-3, according to OpenAI.
The parts of the model learned from historical training data and essentially define the skill of the model on a problem.
A language model announced by OpenAI late last year that can go and look up information on the web (via Bing) and give sources for its answers.

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