Technology is constantly advancing. However, some recent accomplishments will have massive impacts on how we use technology in the future.
Artificial intelligence has been a hot topic of discussion even before predictive text made it easier to write emails. As a society, we’ve been fascinated by the idea of machine learning. As a result, countless books, movies, and television shows have centered around AI.
ChatGPT, or Chat Generative Pre-trained Transformer, is the most recent example of artificial intelligence that has made massive waves in the news. And soon, Google will publicly release their answer to ChatGPT called Bard. These chatbots go far above anything you’re used to interacting with on a retail website. These bots have been relatively rudimentary in the past, leaving them unable to answer anything beyond basic questions. ChatGPT caused quite a stir when users saw an incredibly advanced ability to respond to questions.
These tools are fun to mess around with, but at the same time, be very powerful. They can have massive implications for how we approach essential industries like customer service, healthcare, scientific research, and even search results. Let’s explore what these tools are and how they work.
Open AI: ChatGPT
ChatGPT is a chatbot developed by OpenAI. It is trained on a massive amount of text data and uses deep learning techniques to generate human-like responses.
The model can be used for various tasks such as text completion, conversation generation, language translation, and more. ChatGPT works by using a type of deep learning called Transformer-based architecture. Transformer is an open-sourced neural network that Google open-sourced in 2017.
The model is trained on an extensive collection of text data to learn patterns and relationships between words and phrases.
Users write text in a chatbox and give directions on how they would like the response formatted. ChatGPT then generates an answer based on available information. Internal rules restrict these responses to avoid offensive topics and materials.
The output is generated word by word, where each word is selected based on the training data and the context of the prompt. The model uses an attention mechanism to weigh the importance of different input parts and generate a more coherent output.
The results are awe-inspiring. Users can ask ChatGPT to expand on previous points, reword the responses, and even include sources.
Google: Bard Chatbot
Bard is Google’s answer to ChatGPT. It is a conversational AI service that their Language Model powers for Dialogue Applications (LaMDA) language generation technology. LaMDA was designed to be versatile and can be fine-tuned for a variety of language generation tasks. It can also generate text in multiple modalities, such as text, images, and sound—making it a powerful tool for creating dialogue-based applications.
Bard was released on a limited scale to testers on February 6th, 2023. It is expected to be released to the general public within a month. It builds its responses from information gathered from the internet.
The initial release will be powered by a lightweight version of LaMDA to save on computing power. Bard’s responses will be assessed for quality through user feedback as well as internal testing.
Bard functions much like ChatGPT in that the user enters a prompt into a chat window, and the AI answers instantaneously.
It’s still unknown how Bard will measure up to ChatGPT, as it is in the very early stages of release. We expect a large amount of feedback to be used to improve the service over time, but we won’t honestly know its potential until Bard is made public.
What Does All This Mean?
The ways ChatGPT and Bard will be used aren’t fully known. They are still very new to the market, and users are in the early phases of learning how to maximize their potential.
However, we know that AI has the potential to bring about significant changes in many areas of society. For instance, healthcare services could be revolutionized by enabling earlier and more accurate diagnoses of illnesses. In addition, customer service can be improved with 24/7 support that provides much better answers to questions/problems. Efficiency can also be enhanced for many industries, including manufacturing, transportation, and finance.
However, not all of the implications of AI are considered to be positive. It has the potential to automate many tasks and jobs, which could lead to individuals being replaced in their positions. While these improvements will help maximize the returns of a business, they might not necessarily be suitable in all circumstances. The efficiency capabilities of AI could lead to the automation of many tasks and jobs, which could result in job displacement and economic restructuring.
However, ChatGPT and Bard are used; they represent a massive step forward in technological capabilities.