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ChatGPT In Video Editing
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ChatGPT: The Most Popular AI Chatbot Explained

Caroline Laurent
Caroline Laurent Originally published Sep 11, 23, updated Jan 17, 24

OpenAI released its AI chatbot GPT in November, and this marked a point of revolution in the world of artificial intelligence. Hundreds of millions of people have experimented with the tool, and changed how they interact with the internet. At the same time, major competitors have developed their own AI tools, offering unique experiences to their customers. While GPT 3 chatbot completes a wide range of things from writing texts to developing codes, the recent development provides an array of endless opportunities. This article explores the OpenAI chatbot GPT in detail, including how it works and the most recent updates.

In this article
  1. Part 1. What is ChatGPT: Features and Recent Updates
  2. Part 2. How ChatGPT Works: Training and Human Interactions
  3. Part 3. Discover How to Use ChatGPT in Filmora
  4. Conclusion
ChatGPT In Video Editing
The best editor incorporated ChatGPT and other stunning AI features in services.
Wondershare Filmora 12

Part 1. What is ChatGPT: Features and Recent Updates

ChatGPT is an artificial intelligence (AI), which uses natural language processing (NLP) to produce humanlike conversational language. The acronym GPT stands for “Generative Pre-trained Transformer” and it’s a language model that allows chatbots to respond to questions and compose written content. Some of the most common content that you can generate with ChatGPT include articles, essays, social media posts, emails, and code. The chatbot is trained with reinforcement learning based on human feedback and reward that ranks the best responses.

chatgpt

So, what’s so special about ChatGPT? The ChatGPT AI chatbot is powered by a large language model (LLM), which means it is programmed to understand human language and generate relevant responses based on large quantities of data. The chatbot’s LLM is GPT-3.5, an upgrade to the earlier GPT-3 version. As one of the largest and most powerful LLMs, chatbot GPT 3 can:

  1. Produce human-like responses based on vast amounts of data it is trained on
  2. Log context from users’ early messages in the thread, and use them as the basis for later responses
  3. Be applied across industries from school homework to legal briefs
  4. Learn a language and become a personal favorite assistant
  5. Create personalized plans

With the introduction of GPT-4, the chatbot can do a lot more. The major developments include improved language understanding, enhanced context handling, and an expanded knowledge base. The new model can react to images, process up to 25,000 words, and current information from the internet. This has made AI chatbot OpenAI more reliable, with increased use cases.

Part 2. How ChatGPT Works: Training and Human Interactions

 

AI chatbot ChatGPT works by attempting to understand a prompt and then spits out a series of words to predict the best answer to your question based on the data it has been trained on. This is made through its Generative Pre-trained Transformer which uses specialized algorithms to identify patterns within data sequences. Initially, ChatGPT used the GPT-3 large language model. This is a neural network machine learning model that pulls information from a significant amount of data to formulate a response.

ChatGPT Training

Before GPT, AI models used supervised learning to develop their algorithms. This approach involved training them with manually labeled data, such as a database with photos and a text description written by humans. Although the process was effective in most circumstances, it was incredibly expensive. This is what led to the development of GPT, which employs generative pre-training. The GPT is given a few ground rules, fed vast amounts of unlabeled data, and then left unsupervised to crunch the information and develop its own understanding of the rules.

chatgpt training

The current version of OpenAI ChatGPT uses the GPT-3.5 model, and relies on deep learning, a subset of machine learning. The model allows it to produce humanlike text through transformer neural networks.

Transformer Architecture

The transformer predicts text based on the training it has received in a typical sequence of data. Typically, all the data fed to the GPT creates a deep-learning neural network that allows it to learn patterns and relationships in the text data. This becomes the foundation for the GPT to create human-like responses by predicting the text that should come next in any given sentence. In other words, the GPT is able to predict the sequence of data in the next word, sentence, and paragraph.

transformer architecture

ChatGPT training starts with generic data before moving to more tailored data that can be used to complete a specific task. The chatbot was first trained with online text to learn the human language. It then used transcripts to learn the basics of conversations. Since it is a generative model, the chatbot keeps on learning through human interactions. This transformer model allows for the computation of language to be done at the same time, significantly reducing the training times.

Importance of Tokens

Another important aspect of ChatGPT operation is how text is understood by the AI model. Before its launch, 500 billion tokens were used to train GPT-3  to make it more effective in predicting the next text. It would do this by mapping the text in vector space. These tokens came from a massive corpus of data that has been written by humans, including articles, books, and other documents across different topics, genres, and styles.

gpt token

Reinforcement Learning From Human Feedback (RLHF)

The initial neural network of the GPT was unsuitable for public release. Essentially, the robot was trained on the open internet without any guidance from humans. To refine its ability to respond to prompts safely, human trainers are used to provide conversation and rank ChatGPT responses. The process, which is known as RLHF optimized the GPT’s ability to hold dialogues and interactions with humans.

rlhf

The reward models help ChatGPT to determine the best answers for future interactions. Users are also allowed to upvote to downvote their responses by clicking either the thumbs-up or thumb-down icons in the responses. This allows the chatbot to keep learning and produce more relevant responses. Another way ChatGPT trains is by allowing users to provide additional written feedback, which helps in fine-tuning future dialogue.

Part 3. Discover How to Use ChatGPT in Wondershare Filmora

To offer users a seamless experience, Wondershare Filmora has incorporated ChatGPT and other AI features in its services. The versatile video editing software now allows you to explore the power of AI in your projects, automating certain processes. With the ChatGPT plug-in, users now automatically generate texts for their captions, video scripts, and descriptions. This new feature reduces the need to switch between tools while enhancing the video editing speed.

Free Download
Free Download

Explore ChatGPT in Filmora With AI Copywriting

Filmora has integrated the ChatGPT API for its AI copywriting feature. This feature will help you generate AI copywriting for text during video editing, generate YouTube Titles, get inspiration for scripts, and come up with automatic descriptions. The feature simplifies the process of creating videos on Fillmora by utilizing AI to generate content. Here are some of the ways you can use ChatGPT on Filmora using AI Copywriting:

Step 1Launch ChatGPT

The latest version of Filmora has been connected to ChatGPT, and all you have to do is launch the AI Copywriting feature.

launch chatgpt
Step 2Generate the Video Script

Using the AI Copywriting, prompt the GPT to write a script for your video. This will result in an instant generation of relevant content for your script.

write script
Step 3Generate the Title and Description

Once you have edited your video and it’s time to export it, use the AI copywrite feature to automatically generate the title and description 

titles and description

Other AI Features in Filmora

In addition to AI copywriting, Filmora offers a whole range of AI features to make your editing work easier and more efficient:

  • AI PortraitAutomatically remove background in your clips and images with high accuracy, and use over 70+ AI portrait effects.
  • Speech to Text – Automatically transcript video speech to text with the one-click STT feature.
  • Silence Detection – Automatically detect and remove moments of silence in your video based on your designated criteria to avoid annoying pauses.
  • Auto Reframe – Automatically resize your videos with no additional skills.

Conclusion

As we have highlighted in this article, ChatGPT has revolutionized almost every industry. With the recent developments and advancements, the possibilities of using this AI technology are almost endless. For video editors and enthusiasts, we recommend utilizing the power of ChatGPT with Wondershare Filmora.  The AI copywriting feature allows you to incorporate the benefits of ChatGPT in your videos without leaving the Filmora software.

FAQ

  • Is a chatbot the same as ChatGPT?
    No, a chatbot AI is not necessarily ChatGPT. While the chatbot is any system that can hold dialogue with you, ChatGPT is powered by AI and uses LLM technology to generate text after a prompt.
  • What is the best chatbot for ChatGPT?
    The best chatbot for ChatGPT at the moment is ChatGPT-4. Powered by GPT-4, this version offers users a wider range of things to do including describing images.
  • Can ChatGPT be used for Chatbots?
    Yes, you can make your own chatbots using ChatGPT API. This allows you to integrate advanced NLP models into your website or application, enabling human-like and dynamic conversations with users.
Caroline Laurent
Caroline Laurent Jan 17, 24
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