Large Language models that is LLM which generates human-like text is actually a GPT which is Generative Pre-trained transformer. Nowadays we are using GPT in its various forms for years now. In this article, we are going to learn basically the three things about the LLM.
1 What is LLM?
Before getting some idea on Large Language models let’s first understand some basics of foundation models first. What that means is that, foundation models are pre-trained on large amount of unlabeled (kind of a raw data) and self-supervised data, that means the model learns from the patterns in the data in a way that results in producing generalizable and adaptable output.
And here the Large Language models are the instances of foundation models which are specifically applied to texts or some text like things. Also, the Large Language models are being trained on literally large datasets of texts, or books, articles and even conversations. When we say “Large” that means such data can be trained in gigabytes or terabytes and even on any enormous amounts of text data.
2 How do the LLM work?:
As we discussed that LLM works on an extremely enormous amount of text data and that of text file can be in gigabytes or even petabytes. For an instance, let’s consider one gigabyte’s actual text size that consists of approximate 178 million words. And it’s a lot of words in just one Gigabyte. And as you may already know that one petabyte consists of 1 million gigabytes. Hence LLMs are considered among the biggest models when it comes to the parameter count.
A parameter in machine learning can be seen as a value that the model can change independently as it learns along the way and the more parameter a model has, the more complex it can be. For example, GPT-3 is pre-trained on a corpus of actually approximately 45 terabytes of data and it uses 175 billion machine learning’ parameters.
Well, Large Language models actually consists of three things:
- Data
- Architecture
- Training
Now that we have already discussed that the enormous amount of data that goes into these things as Data. But as for the Architecture, this actually works on a neural networks and it works as a transformer for GPTs.
Well, the transformer architecture enables the model to handle sequences of data like sentences or lines of codes etc… And the transformers are designed to understand the contextualize meaning of each line of sentences or each line of codes by considering it in relation to every other word. So that the respective LLM model such as GPT-3 can produce the output for the given instructions accordingly. As it allows the model to build a comprehensive understanding of the sentence structure as well as the meaning of the words that the sentence holds.
And then this architecture is trained on all of its given large amount of data. And it’s actually the training phase where the model learns to predict the next word in a sentence. Also, It takes multiple iterations for a model to predict the most accurate results. As with each iteration, the model adjusts its internal parameters to reduce the difference between its predictions and the actual outcomes. And when the model keeps doing these iterations, this gradually improves their words or results predictions until it can reliably generate coherent sentences using the transformer architecture.
3 Business Applications of LLM:
Nowadays, businesses are using Large Language Models to create intelligent and interactive chatbots that can handle a variety of customer queries. Another very vast application of LLM models are being used in content creation, that can help to generate articles, emails, social media posts or caption and even YouTube videos’ scripts. Not only this but LLMs are also contributing in writing and reviewing codes for the software development.
As Large Language models are continue to evolve, we tend to witness multiple applications of LLMs. As openAI has already shocked the world through the release of its DALL-E model which can produce high quality images using just texts as inputs. Not only this but Openai has also released Sora, a text to video generator which can help to generate one minute high quality long video based on the given relevant instructions. You can read more about Sora in this below article.
Also read: Sora by Openai – a next level technology.
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