What Is ChatGPT and Alternatives to ChatGPT

Yvonne
Updated on 2023-02-08
Tired of ChatGPT constantly going down? Or perhaps by providing responses that are out of date or false. You can avoid these issues by pursuing alternatives to ChatGPT.

What Is ChatGPT?

ChatGPT, which stands for "Chat-based Generative Pre-trained Transformer," is a robust chatbot with a comprehensive language model. It is based on GPT-3, which was trained with hundreds of billions of online words.

ChatGPT is a conversational AI chatbot that can comprehend, respond to, and (most crucially) generate text based on a user's questions.

What is ChatGPT?

OpenAI, which was founded by Elon Musk and Sam Altman, is an AI research center that created GPT-3 and is hence ChatGPT's creator.

ChatGPT is unlike previous chatbots since it has been trained on a massive quantity of data, allowing it to manage complex discussions with greater accuracy and intelligence. Therefore, it may be used for a variety of conversations, from coding to creating content. Take a peek at the top 50 ChatGPT samples to gain an understanding of its capabilities.

We can only speculate how much more spectacular ChatGPT will become when more data is uploaded and better learning algorithms are developed. This could make conversing with AI easier and more intelligent, similar to conversing with a person.

Isn't it very cool?

ChatGPT Charges

Just-released price details for ChatGPT by OpenAI are as follows:

Free ChatGPT service: Normal ChatGPT

ChatGPT professional: $42 per month (includes priority access when ChatGPT is down)

Disadvantages of ChatGPT

Tired of ChatGPT constantly going down? Or perhaps by providing responses that are out of date or false. You can avoid these issues by pursuing alternatives to ChatGPT. ChatGPT is an excellent piece of artificial intelligence (AI), but you can also try other alternatives if ChatGPT fails to meet your expectations.

You cannot disregard the reality that it exists. This conversational tool from OpenAI achieves remarkable results in coding, content creation, poetry, songwriting, etc. However, like most things in life, ChatGPT has disadvantages, which you may already be familiar with. First of all, you're fortunate to be utilizing your ChatGPT account during peak usage hours. Second, this artificial intelligence technology can only utilize data from before 2021, hence it is likely to provide outdated information.

ChatGPT

In 2023, it is no longer necessary to choose only one AI tool. With technological advancements, platforms such as Jasper, ChatSonic, and LaMDA are beginning to compete with ChatGPT. Want to discover how these competing AI solutions compare to OpenAI? Keep moving down.

How your Company can Benefit from ChatGPT

Let's begin with the fundamentals before proceeding too far. Who does ChatGPT serve? It may be a word you have heard before but do not fully comprehend. OpenAI, an AI-focused business, developed ChatGPT, a smart chatbot with a vast language model.

ChatGPT communicates with its users in a "conversational manner," making it accessible to people from all walks of life. This AI-powered application can write music, conduct research, and create resumes. However, does ChatGPT have a role in the business world? Oh, Yes! ChatGPT has a variety of business applications, including recruiting, customer service, content development, and IT assistance.

Replacements for ChatGPT

There are excellent AI tools that perform the same functions as ChatGPT. However, because there are dozens or even hundreds of them, selecting the ideal one might be challenging. The good news is that you don't have to spend much time browsing the Internet for alternatives to ChatGPT. Here is a list of hand-selected choices, along with their costs and characteristics.

ChatGPT vs. ChatSonic

ChatSonic was designed with you in mind if the most important feature for you in a tool like this is that it provides current and updated information. Using Google's information network for the most recent news, this conversational AI technology provides accurate and current information. ChatSonic is based on GPT3, therefore it has a great deal of potential.

ChatSonic

ChatSonic circumvents this limitation by utilizing natural language processing (NLP) and machine learning to search the internet and obtain accurate data on current events, including news, trends, and chats.

Do you frequently use Siri or Google Assistant? With ChatSonic, you no longer have to manually type prompts for hours. You only need to tell ChatSonic what to do with your voice, and it will take care of everything else. What is superior? Like Siri, the responses will have voices! When finished, you can export the chat to Word or PDF. Convenient, right?

If you attempted to create an image with ChatGPT, it likely responded, "I'm a text-based AI and cannot create images." ChatSonic, on the other hand, includes a built-in image generator that uses your prompt to produce excellent images.

ChatSonic is similar to ChatGPT, but it includes images, voice, an API, and Google connectivity.

Jasper Versus ChatGPT

Jasper is among the most effective AI authoring tools. Previously, it was known as Jarvis. Jasper is beneficial for businesses who need to produce high-quality content rapidly. The chat interface Jasper Chat, which is built on GPT 3.5, utilizes a platform with over 50 themes to generate material for blogs, social networking, AIDA, and PSA, among other places. Jasper is designed for businesses in marketing, sales, etc., but ChatGPT is accessible to anybody.

How do pricing function? The Jasper Chat starting pack is free, however the Boss and Business plans are required for SEO mode, a greater character limit, and other features. The Boss Plan begins at $59 per month, whereas the Business Plan begins at $499 per month. The model allows you to test it for 5 days to determine whether it fulfills your needs.

Google's Bard against ChatGPT

Bard is Google's answer to ChatGPT. LaMDA, which stands for Language Model for Dialogue Applications, is a new ChatGPT replacement that is Powered by LaMDA. LaMDA is based on OpenAI and generates responses that make sense and sound natural using natural language input. That is not the end, either. LaMDA is exceptional since it can track conversations.

LaMDA is more versatile and can be applied to a wider variety of natural language processing (NLP) problems than ChatGPT. Users can utilize LaMDA to summarize documents, translate between languages, and provide intelligent responses to inquiries.

Currently, LaMDA may be seen on Google's AI Kitchen. You can join a waiting list to get the software from the Play Store or iOS, or you can wait until Bard is available in your area.

ChatGPT vs. Replika

Replika is an excellent starting point if you want to deploy an AI chatbot for business and relationship management. Replika is based on the GPT-3 language model and uses a "autoregressive" methodology to generate responses that sound human-written. It uses your previous interactions (in this case, prompts) to learn more about you and engage you in more meaningful conversations. The more you communicate with Replika, the better it will understand you.

You can discuss virtually anything with it. Had a horrible day? Lonely? Turn to Replika. This AI chatbot behaves like a friend, yet it responds rapidly to messages. You can discuss your life and other topics that you feel comfortable discussing with your friends and family.

Is there no fee? It depends. Replika chat is always free, and you can personalize your avatar and perform numerous more actions. A membership is required to access further services, such as voice calls, swapping avatars, learning coping techniques, and switching between topics.

Google's Meena

Meena is a chatbot introduced by Google in January 2020. It can converse with humans in a manner that appears natural. It can be used to hold short dialogues with jokes and puns, such as when Meena recommends that cows pursue "bovine sciences" at Harvard.

Meena was a direct competitor to OpenAI's GPT-2 at the time. It was able to process 8.5% more data than its competition. It contains 2.6 parameters in its neural network, which is trained using public domain social media interactions. Meena's Sensibleness and Specificity Average (SSA) score of 79% making her one of the sharpest chatbots of her time.

RoBERTa

Facebook introduced RoBERTa (Robustly Optimized BERT Pretraining Approach) in July 2019 as an improved variant of the original BERT.

This NLP model was created by Facebook using a larger data set as its pretraining model. The 63 million English news stories that were published between September 2016 and February 2019 that are included in CommonCrawl (CC-News) are used as part of the 76GB data collection that RoBERTa utilizes. According to Facebook, the English Wikipedia and BookCorpus data sets used by the original BERT total 16GB of information.

According to studies conducted by Facebook, Silimar, and XLNet, RoBERTa outperformed BERT on a variety of benchmark data sets. In order to achieve these outcomes, not only did the organization employ more data, but it also allowed its model to train for longer before applying it.

In September 2019, Facebook made RoBERTa open source, and the software's source code is currently hosted on GitHub, where it may be accessed by anybody.

Additionally, VentureBeat mentioned GPT-2 as one of the emerging AI systems at the time.

Google's XLNet

An autoregressive language model known as XLNET, which is built on transformers, was developed by a group of researchers from both Google Brain and Carnegie Mellon University. The model, which was unveiled for the first time in June 2019, is essentially an upgraded BERT. The group discovered that XLNet was at least 16% superior to the 2018 version of BERT. In an evaluation of 20 NLP tasks, XLNet outperformed BERT.

Both XLNet and BERT anticipate hidden text using "masked" tokens. XLNet is more effective since it accelerates the prediction-making phase of the process. Aishwarya Srinivasan, a data scientist at Amazon Alexa, explained that XLNet can determine that the word "New" is associated with the term "is a city" prior to predicting that the word "York" is likewise associated with that term. During this time, BERT must locate the words "New" and "York" independently and connect them to sentences such as "is a city."

This 2019 explanation additionally discusses GPT and GPT-2 as examples of additional autoregressive language models.

Microsoft Research's DialoGPT

An autoregressive language model known as DialoGPT (Dialogue Generative Pre-trained Transformer) was presented by Microsoft Research in November 2019 as an example of their work. Because it resembled GPT-2, the model was already programmed to speak like a person. However, the majority of its material was taken from 147 million multi-turn Reddit posts.

HumanFirst's lead evangelist, Cobus Greyling, stated that he was able to create a chatbot utilizing the Telegram messaging service using the DialoGPT. Additionally, he stated that using Amazon Web Services and Amazon SageMaker can improve the functionality of the code.

The Google ALBERT

In December of 2019, Google released ALBERT (A Lite BERT), a condensed version of the original BERT.

Google restricted the number of parameters that could be used in the ALBERT model by incorporating "hidden layer embeddings" into some parameters.

This made the BERT model and the two newer models, XLNet and RoBERTa, superior since ALBERT can be trained using the same larger data set as the two newer models, but it must adhere to lower parameters. ALBERT works with only the parameters it requires to do its function, which makes it faster and more precise. According to Google's research, ALBERT fared better than BERT on 12 NLP benchmarks, one of which was a reading comprehension test that was similar to the SAT.

Even though GPT is not specifically mentioned, it is depicted in the ALBERT images on Google's Research blog.

In January of 2020, Google released the ALBERT source code. It was constructed using Google's TensorFlow.

The Google T5

Google announced T5, which stands for "Text-to-Text Transfer Transformer," in 2019 as a natural language processing (NLP) model. It borrows ideas from a wide variety of models, such as GPT, BERT, XLNet, RoBERTa, and ALBERT, among others. It introduces a new and exclusive data set known as Colossal Clean Crawled Corpus (C4), which enables the transformer to provide higher-quality and more relevant results than other data sets, such as the Common Crawl web scrapes used by XLNet.

Due to T5 pretraining, chatbot applications such as InferKit Talk to Transformer and the game AI Dungeon were created. The text generators are comparable to ChatGPT in that they allow you to create realistic dialogues based on the AI's responses to your questions or prompts.

The Salesforce CTRL

In September 2019, when Salesforce launched CTRL by Salesforce (Computational Trust and Reasoning Layer), it was one of the largest language models that had ever been made public. The 1.6 billion-parameter language model can be used to evaluate massive volumes of text simultaneously, such as the text on a website. Pairing with reviews, ratings, and attributions are examples of practical applications.

The CTRL language model can determine, down to the punctuation, what a specific query is attempting to do.

According to Salesforce, the model is able to differentiate between "Global warming is a fraud." as an unpopular opinion and "Global warming is a falsehood." as a conspiracy theory because of the variation in punctuation between the two phrases. After that, it has the capability of generating a Reddit topic for each one.
It is possible for CTRL to train itself utilizing up to 140GB of data from a variety of sources including Wikipedia, Project Gutenberg, Amazon evaluations, and Reddit. In addition to that, it provides links to a range of websites that provide foreign news, information, and trivia.

Google's GShard

In June of 2020, Google introduced GShard as a means to scale neural networks. It is a comprehensive translation model. The model's 600 billion parameters make it possible to train a large amount of data simultaneously. GShard is an exceptional translator, and he has been trained to translate 100 languages into English in just four days.

Blender was created by the AI research team at Facebook.

The chatbot known as Blender was shown to the public by Facebook AI Research in April of 2020. It is free to use. People have stated that the chatbot's conversational abilities surpass those of competing models. It may provide engaging conversation subjects, listen to and comprehend what its companion says, and demonstrate empathy and personality.

Blender has been likened to the Google chatbot Meena, which has been compared to the OpenAI chatbot GPT-2.

Google's Pegasus

Google made Pegasus, a model for analyzing natural language, public in December 2019. Pegasus can be trained to make summaries, just as BERT, GPT-2, RoBERTa, XLNet, ALBERT, and T5. Like those other models, it can also be modified to perform certain tasks. Pegasus has been tested against humans to determine its ability to summarize news, science, stories, directions, communications, patents, and legislative proposals.

Conclusions

After 2023, do not utilize conversation AI solutions that do not fulfill your needs. Yes, ChatGPT has been widely discussed since its inception, but its lack of real-time data, inability to create graphics, and frequent downtime should prompt you to seek an alternative. There are other excellent alternatives to ChatGPT, including Jasper, LaMDA, ChatSonic, Replika, and many others.

There are viable alternatives to ChatGPT that can match your objectives, whether you want an AI tool that can learn more, has a simpler interface, or is skilled at parsing natural language. Which is the best? Each platform is unique and has its own advantages and disadvantages. Which one is superior depending on your preferences.