GPT-3 is the recent buzz word. But what is it actually?
Checkout this thread below to get a better picture on the same.
๐งต๐
#GPT3 #chatGPT #gptchat #bugbounty #chatgpt3 #OpenAI #ArtificialIntelligence #MachineLearning #DeepLearning
Checkout this thread below to get a better picture on the same.
๐งต๐
#GPT3 #chatGPT #gptchat #bugbounty #chatgpt3 #OpenAI #ArtificialIntelligence #MachineLearning #DeepLearning
โก๏ธ GPT-3 can be understood by understanding a few concepts such as:
Artificial Intelligence (AI)
Machine learning (ML)
Deep Learning (DL)
Language Model (LM)
Autoregressive (AR) Model
Natural Language Processing (NLP)
OpenAI
Artificial Intelligence (AI)
Machine learning (ML)
Deep Learning (DL)
Language Model (LM)
Autoregressive (AR) Model
Natural Language Processing (NLP)
OpenAI
๐ค AI in GPT-3
When a machine learns something new or solves a problem, this is called artificial intelligence (AI).
When a machine learns something new or solves a problem, this is called artificial intelligence (AI).
๐ง ML in GPT-3
Machine learning is a field of artificial intelligence that is concerned with comprehending and developing "learning" processes. In other words, when more data is collected, the approaches become more effective at doing specific jobs.
Machine learning is a field of artificial intelligence that is concerned with comprehending and developing "learning" processes. In other words, when more data is collected, the approaches become more effective at doing specific jobs.
๐ DL in GPT-3
Deep learning is a type of machine learning where you teach a computer to learn by itself. This type of learning can be supervised, semi-supervised, or unsupervised.
Deep learning is a type of machine learning where you teach a computer to learn by itself. This type of learning can be supervised, semi-supervised, or unsupervised.
๐ช๐บ Language Model (LM) in GPT-3
A language model is a method of predicting verb tenses using probabilities associated with various word combinations.
Probability distributions over a list of words are what language models are.
A language model is a method of predicting verb tenses using probabilities associated with various word combinations.
Probability distributions over a list of words are what language models are.
They are employed in a wide range of processes, including Part of Speech (PoS) Tagging, Machine Translation, Text Classification, Speech Recognition, Information Retrieval, and News Article Generation.
โ๏ธ Autoregressive (AR) Model in GPT-3
A random process can be explained using an AR model. This is used to better understand processes that change over time in the natural world and the economy.
A random process can be explained using an AR model. This is used to better understand processes that change over time in the natural world and the economy.
๐งฌ Natural Language Processing (NLP) in GPT-3
NLP is a technique for aiding computer comprehension of human language. It is a branch of information engineering, computer science, artificial intelligence, and linguistics.
NLP is a technique for aiding computer comprehension of human language. It is a branch of information engineering, computer science, artificial intelligence, and linguistics.
๐คฏ OpenAI in GPT-3
OpenAI is a research lab that studies artificial intelligence. It was founded in 2015 and is funded by donations from people like Elon Musk and Microsoft.
OpenAI is a research lab that studies artificial intelligence. It was founded in 2015 and is funded by donations from people like Elon Musk and Microsoft.
๐จGPT-3 for the layman
GPT stands for Generative Pre-trained Transformer.
GPT-3 is a computer program that ability to produce text that appears to have been authored by a human.
GPT stands for Generative Pre-trained Transformer.
GPT-3 is a computer program that ability to produce text that appears to have been authored by a human.
The fact that this application can also produce code, novels, and poems is helping it gain popularity.
GPT-3 has gained a lot of attraction in the area of natural language processing (NLP).
GPT-3 has gained a lot of attraction in the area of natural language processing (NLP).
โ๏ธ So what's Generative? What's Pre-trained and what's a transformer?
Well, generative models are a type of statistical model that can create new data by forming relationships with different variables.
Well, generative models are a type of statistical model that can create new data by forming relationships with different variables.
Pre-trained models are those models that has been trained well using a large dataset. When's it's tough to train a model in use, we can use pre-trained models.
Transformer models are those that can perform machine translation and text classification. It is designed to handle sequential data, such as text.
๐ค Why is GPT-3
Models prior to GPT-3 were subject to perform one single task such as generating text, summarizing etc. But GPT-3 can perform multiple tasks with equal level of accuracy.
Models prior to GPT-3 were subject to perform one single task such as generating text, summarizing etc. But GPT-3 can perform multiple tasks with equal level of accuracy.
Also, OpenAI have mentioned the use of 175 billion parameters which can produce human-like text which is beyond fascinating.
๐งญ GPT-3's learning is supervised or unsupervised?
Supervised learning in ML is used when you have a lot data that is labelled using which machine can predict output for a certain input.
Supervised learning in ML is used when you have a lot data that is labelled using which machine can predict output for a certain input.
Unsupervised learning is when the machine is exposed to a lot of data but doesn't have any labels.
GPT-3 is an unsupervised learner and it learned how to write by analyzing a lot of unlabeled data, like Reddit posts, Wikipedia articles, and news articles.
You can learn more about GPT-3 here: springboard.com
That's a wrap!
If you enjoyed this thread:
1. Follow me @thebinarybot for more of these
2. RT the tweet below to share this thread with your audience
If you enjoyed this thread:
1. Follow me @thebinarybot for more of these
2. RT the tweet below to share this thread with your audience
Loading suggestions...