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Introduction of ChatGPT
Introduction of ChatGPT
—
Today's Amazon Deals - https://amzn.to/3FeoGyg
–
Introduction of ChatGPT
After redefining and expanding the structure of the existing models around various NLP tasks, openAI structured their GPT - 3.5( referred as sibling model of GPT 3.5) series into a conversational smart AI NLP system which can cater the complex NLP solutions. As the time proceeded, the GPT 3.5 witnessed some feature and optimization wise. OpenAI introduced a set of GPT 3.5 model versions which gives users a better clarity to utilize and experiment with the models according to their use cases.
Turbo: The same model family that underpins ChatGPT is Turbo. As compared to the Davinci model family, it performs similarly well on completions while being optimized for conversational chat input and output. The Turbo model family in the API ought to work well for every use case that can be handled efficiently in ChatGPT. The first model family to get frequent model upgrades like ChatGPT is the Turbo family.
Qualities: Conversation and text generation
Max. request can be made: 4,096 tokens
Trained date: Up to Sep 2021
DaVinci: The Davinci model family is the most competent and can complete any work that the other models (Ada, Curie, and Babbage) can complete, frequently with less training. Davinci will yield the greatest results for tasks requiring a deep grasp of the text, such as summarizing for a particular audience and creating original content. Davinci costs more each API request and is slower than the other models as a result of these expanded capabilities, which ask for more computational resources.
Understanding the purpose of text is another area where Davinci excels. Davinci excels at deducing solutions to various logical conundrums and illuminating character motivations. Some of the most difficult cause-and-effect AI puzzles have been cracked by Davinci.
Qualities: Complex intent, cause and effect, summarization for audience
Max. request can be made: 4,000 tokens
Trained date: Up to June 2021
Curie: Curie is incredibly strong yet moves very quickly. While Curie excels at many complex tasks like sentiment classification and summarization, Davinci is better at processing complex text. Being a general-purpose chatbot, Curie is also fairly adept at doing Q&A and answering queries.
Qualities: Language translation, complex classification, text sentiment, summarization
Babbage: Babbage is capable of simple categorization and other elementary tasks. When assessing how well documents match search queries using semantic search, it is also extremely capable.
Qualities: Moderate classification, semantic search classification
Ada: Ada is often the fastest model and is capable of finishing jobs that don’t call for a lot of detail, such text parsing, address correction, and some types of categorization tasks. The performance of Ada may frequently be enhanced by adding extra context.
Qualities: Parsing text, simple classification, address correction, keywords
ChatGPT has been made to comply with many human valued prototypes and rules. It was trained up to early 2022. The basic version of ChatGPT uses the GPT 3.5 - turbo API as the backend model which is way cheaper than many other GPT 3.5 series models to make it more affordable with users.
Timeline Summary
Date
Milestone
11th June,2018
GPT-1 announced on the OpenAI blog.
14th Feb,2019
GPT-2 announced on the OpenAI blog.
28th May,2020
Initial GPT-3 preprint paper published to arXiv.
11th Jun,2020
GPT-3 API private beta.
22th Sep,2020
GPT-3 licensed to Microsoft.
18th Nov,2021
GPT-3 API opened to the public.
27th Jan,2022
InstructGPT was released as text-davinci-002, now known as GPT-3.5. InstructGPT preprint paper Mar/2022.
28th July,2022
Exploring data-optimal models with FIM, paper on arXiv.
1st Sep,2022
GPT-3 model pricing was cut by 66% for the davinci and curie model.
21st Sep 2022
Whisper (speech recognition) announced on the OpenAI blog.
28st Nov 2022
GPT-3.5 expanded to text-davinci-003, announced via email:
Higher quality writing.
Handles more complex instructions.
3. Better at longer form content generation.
30th Nov 2022
ChatGPT announced on the OpenAI blog.
1st Feb 2023
ChatGPT hits 100 million monthly active unique users (via UBS report).
1st Mar 2023
ChatGPT API announced on the OpenAI blog.
*The timeline was extracted from the GPT blog by Dr Alan D. Thompson
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By AhbarjietMaltaIntroduction of ChatGPT
—
Today's Amazon Deals - https://amzn.to/3FeoGyg
–
Introduction of ChatGPT
After redefining and expanding the structure of the existing models around various NLP tasks, openAI structured their GPT - 3.5( referred as sibling model of GPT 3.5) series into a conversational smart AI NLP system which can cater the complex NLP solutions. As the time proceeded, the GPT 3.5 witnessed some feature and optimization wise. OpenAI introduced a set of GPT 3.5 model versions which gives users a better clarity to utilize and experiment with the models according to their use cases.
Turbo: The same model family that underpins ChatGPT is Turbo. As compared to the Davinci model family, it performs similarly well on completions while being optimized for conversational chat input and output. The Turbo model family in the API ought to work well for every use case that can be handled efficiently in ChatGPT. The first model family to get frequent model upgrades like ChatGPT is the Turbo family.
Qualities: Conversation and text generation
Max. request can be made: 4,096 tokens
Trained date: Up to Sep 2021
DaVinci: The Davinci model family is the most competent and can complete any work that the other models (Ada, Curie, and Babbage) can complete, frequently with less training. Davinci will yield the greatest results for tasks requiring a deep grasp of the text, such as summarizing for a particular audience and creating original content. Davinci costs more each API request and is slower than the other models as a result of these expanded capabilities, which ask for more computational resources.
Understanding the purpose of text is another area where Davinci excels. Davinci excels at deducing solutions to various logical conundrums and illuminating character motivations. Some of the most difficult cause-and-effect AI puzzles have been cracked by Davinci.
Qualities: Complex intent, cause and effect, summarization for audience
Max. request can be made: 4,000 tokens
Trained date: Up to June 2021
Curie: Curie is incredibly strong yet moves very quickly. While Curie excels at many complex tasks like sentiment classification and summarization, Davinci is better at processing complex text. Being a general-purpose chatbot, Curie is also fairly adept at doing Q&A and answering queries.
Qualities: Language translation, complex classification, text sentiment, summarization
Babbage: Babbage is capable of simple categorization and other elementary tasks. When assessing how well documents match search queries using semantic search, it is also extremely capable.
Qualities: Moderate classification, semantic search classification
Ada: Ada is often the fastest model and is capable of finishing jobs that don’t call for a lot of detail, such text parsing, address correction, and some types of categorization tasks. The performance of Ada may frequently be enhanced by adding extra context.
Qualities: Parsing text, simple classification, address correction, keywords
ChatGPT has been made to comply with many human valued prototypes and rules. It was trained up to early 2022. The basic version of ChatGPT uses the GPT 3.5 - turbo API as the backend model which is way cheaper than many other GPT 3.5 series models to make it more affordable with users.
Timeline Summary
Date
Milestone
11th June,2018
GPT-1 announced on the OpenAI blog.
14th Feb,2019
GPT-2 announced on the OpenAI blog.
28th May,2020
Initial GPT-3 preprint paper published to arXiv.
11th Jun,2020
GPT-3 API private beta.
22th Sep,2020
GPT-3 licensed to Microsoft.
18th Nov,2021
GPT-3 API opened to the public.
27th Jan,2022
InstructGPT was released as text-davinci-002, now known as GPT-3.5. InstructGPT preprint paper Mar/2022.
28th July,2022
Exploring data-optimal models with FIM, paper on arXiv.
1st Sep,2022
GPT-3 model pricing was cut by 66% for the davinci and curie model.
21st Sep 2022
Whisper (speech recognition) announced on the OpenAI blog.
28st Nov 2022
GPT-3.5 expanded to text-davinci-003, announced via email:
Higher quality writing.
Handles more complex instructions.
3. Better at longer form content generation.
30th Nov 2022
ChatGPT announced on the OpenAI blog.
1st Feb 2023
ChatGPT hits 100 million monthly active unique users (via UBS report).
1st Mar 2023
ChatGPT API announced on the OpenAI blog.
*The timeline was extracted from the GPT blog by Dr Alan D. Thompson
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