Fine-tune Conditional Field Work For Free with DocHub and make the most of your documents

Aug 6th, 2022
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A brief guide on how to Fine-tune Conditional Field Work For Free

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How to Fine-tune Conditional Field Work For Free

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[Music] today were hosting meetup with todor markov who is a researcher at openai and hes working currently on openai api where hes focusing on safety and monitoring the api and todder will share with us about how they use api to fine-tune gpt3 models and there will be some exciting live demos as well so todder thanks a lot for joining and its were very much looking forward to learning from you today yep thank you sophia for the kind introduction uh hi all as sophia mentioned today i will be talking to you about the open ai fine tuning api this is a new api which we released a bit over a month ago it allows you to fine-tune our gpt-3 family of language models on your own data creating specialized models with much higher performance on their task domain in this talk i will give a broad overview of the ways in which fine tuning can help your concrete use case i will then run through a live demo of how the fine tuning api works and im going to talk a little bit about the challenges

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To try out GPT-3 for free you need three things: an email address, a phone number that can receive SMS messages and to be located in one of this list of supported countries and regions. New accounts get $18 of credit for the API, which expire after three months.
Released two years ago, OpenAIs remarkably capable, if flawed, GPT-3 was perhaps the first to demonstrate that AI can write convincingly if not perfectly like a human. The successor to GPT-3, most likely called GPT-4, is expected to be unveiled in the near future, perhaps as soon as 2023.
GPT-3s highest and the most accurate model Davinci costs 6 cents for every 1000 s.
GPT-3 Is Open to the Public In November 2021 the waitlist was removed for GPT-3, allowing more people to use the OpenAI API for things like app development. What most people dont know is that a simple web version of GPT-3 is accessible through the OpenAI Playground.
To get started, just run a single command in the OpenAI command line tool with a file you provide. Your custom version will start training and then be available immediately in our API. Last year we trained GPT-3 and made it available in our API.
The more expensive models, such as the Da Vinci model, will cost more to fine-tune than the cheaper models, such as the Curie model. Assuming you use a data set of 200,000 examples and training iterations of 10, the cost to fine-tune GPT-3 would be about $200.
Its predecessor GPT-2 (released in Feb 2019) was trained on 40GB of text data and had 1.5 BN parameters. In comparison, GPT-3 has a whopping 175 BN parameters, 10 times more than the next largest LM, the Turing NLG, developed by Microsoft with 17 BN parameters!
Prompt Engineering. GPT-3 is designed to be task agnostic. This means that it can potentially perform any number of tasks, given the specific training prompt. Creating AI solutions has never been easy but with GPT-3 all you need is a sensible training prompt in plain English language.
To try out GPT-3 for free you need three things: an email address, a phone number that can receive SMS messages and to be located in one of this list of supported countries and regions. New accounts get $18 of credit for the API, which expire after three months.
Along with its high dimensions, the cost of training GPT-3 is over 4.6 million dollars using a Tesla V100 cloud instance [source] and training times of up to 9 days.

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