OpenAI’s GPT-4 vs. Google’s PaLM 2
Get ready for the ultimate language model showdown! OpenAI's GPT-4 has been ruling the roost for two months, but now Google has thrown their hat into the ring with their own language model, PaLM 2. These two powerhouses are the most advanced language models out there, boasting massive amounts of trained data and millions of parameters. But which one will come out on top? If you're itching to know the ins and outs of GPT-4 and PaLM 2, look no further!
- OpenAI's GPT-4 and Google's PaLM 2 are the two most advanced language models available, both boasting large amounts of data and millions of parameters
- The GPT-4 language model is an advanced tool that can complete various creative writing tasks, such as creating emails and short stories
- The PaLM 2 language model is trained with much more data than its predecessor and has higher performance.
- The PaLM 2 language model is more successful than the GPT-4 in some tests, and both have an equal success rate overall.
- If you are looking for an AI tool for more personalized needs and not a generic one, we recommend you try TextCortex.
What is GPT-4?
The Generative Pre-trained Transformer (GPT) 4 language model is the next-gen large language model developed by OpenAI and released in March 2023. The GPT-4 language model is already used to improve the performance of various advanced AI tools such as ChatGPT, Bing AI, TextCortex, and Perplexity. In addition, as individual users, you can access the GPT-4 model and use its advanced features.
Capabilities of GPT-4
The GPT-4 language model is a remarkable tool that utilizes cutting-edge technologies such as deep learning, machine learning, and natural language processing to produce human-like output. This versatile language model can perform a wide range of tasks, including answering questions, generating pages of text from just a few words, summarizing lengthy texts, translating texts into multiple languages, and even generating code.
The GPT-4 language model can complete creative writing tasks such as emails, stories, poems, monologues, scripts, universe designs, character stories, acrostic poems, and conversations with high quality. The main reason for this is that the GPT-4 language model is trained with a large amount of text data. In addition, the GPT-4 language model can generate output of up to 25000 words.
The feature that makes GPT-4 one of the most advanced language models is that it has up to 1 trillion parameters. Parameters are the determining factors that language models use when creating sentences and paragraphs. For example, to predict the next word in a sentence, the parameters measure each word by values and select the word with the highest probability.
In this context, it is possible to call the parameters the decision-making mechanism of the machines. The more parameters a language model has, the more accurate output it can generate.
The amount and quality of data used to train a language model are crucial in enabling it to understand the intricacies of sentence structure and sequence in both spoken and programming languages. In the case of the GPT-4 language model, it has been trained with an astounding 825TB of data, which includes texts from diverse sources such as Wikipedia, books, articles, Reddit, and GitHub.
This massive dataset provides the model with greater insight into the nuances of language and helps it generate more accurate and natural-sounding output. As a general rule, the more data a language model is trained with, the better its understanding of sentence structures and the more effective it is in generating high-quality output.
What is PaLM 2?
At the I/O 2023 conference, Google dropped a bombshell with the announcement of their latest and greatest language model - PaLM 2. With an astonishing number of parameters and an even larger dataset than its predecessor, this next-generation model is the pinnacle of Google's language generation technology. But PaLM 2 isn't just a lab experiment - it's already powering real-world applications like Bard AI, demonstrating its impressive capabilities. Get ready to be blown away by the innovative performance of Google's PaLM 2 language model!
Capabilities of PaLM 2
The PaLM 2 language model is a game-changer in the world of AI, boasting advanced reasoning and arithmetic calculation capabilities. With its powerful algorithmic abilities, PaLM 2 enables AI tools to perform complex calculations and make ethical judgments that were once beyond the realm of possibility. If you're seeking to dive into advanced arithmetic problems, leveraging an AI tool that utilizes the PaLM 2 language model could be a valuable asset.
PaLM 2 language model can complete various tasks such as human-like conversation, translation, summarizing, text creation, code generation, and question & answering with high quality that only an advanced language model can do. Since the PaLM 2 language model is already integrated with Bard AI, it is possible to try and evaluate it. In addition, according to Google's report, the PaLM 2 language model is also trained to not generate toxic output.
PaLM 2: Parameter Size
According to Google's official data, we do not know the parameter size of the PaLM 2 language model. However, we know that the previous language model, the PaLM model, has 540 billion parameters. Although we do not have clear information about how many parameters are used in the PaLM 2 language model, we are sure that it is a more advanced language model than its predecessor.
PaLM 2: Data
At the Google conference, it was claimed that AI tools using the PaLM 2 language model will generate less toxic output. This is because PaLM 2 is trained with fewer data, specifically avoiding websites likely to contain hate speech such as racism. As a result, large textual data sources like Reddit are not included in its training, leading to a decrease in toxicity in the generated output.
PaLM 2 vs GPT-4
PaLM 2 and GPT-4 large language models are the two largest and most advanced language models currently dominating the market. Since OpenAI's GPT-4 was released two months ago, it has been used in advanced AI tools such as Bing AI, TextCortex, ChatGPT, and Khan Academy. However, as the PaLM 2 language model is new, it is currently only being used in Google products such as Bard AI. It seems that we will have to wait a while to see the differences and similarities between the two language models.
When comparing the PaLM 2 and GPT-4 language models, the most noticeable difference is the size of their respective training datasets. While GPT-4 has been trained on a significantly larger dataset than PaLM 2, it is important to note that this means GPT-4 has more knowledge than PaLM 2. In other words, the sheer volume of data that GPT-4 has been trained on gives it a distinct advantage in terms of its understanding of language nuances and its ability to generate high-quality output.
The PaLM 2 language model can generate less toxic output, as it does not use sources that may contain hate speech as trained data. The GPT-4 language model sometimes generates ethically incorrect output; however, Google states that the PaLM 2 language model will not generate toxic output.
In the technical report of PaLM 2, it is possible to see the tests in which it is compared with the GPT-4 language model. PaLM 2 is more successful in some of these tests, while GPT-4 is more successful in others. Proportionally, both language models have an equal success rate. For this reason, it is possible to say that the two language models are similar performance.
The PaLM 2 language model is currently only available in Bard AI. Bard AI is freely available to everyone in 180 countries. For this reason, users who want to try the PaLM 2 language model can try it without encountering any barriers.
Besides, users must make a payment to use the GPT-4 model. If you want to use GPT-n models for free, you can only use up to GPT-3.5. However, you don't have to worry because using ZenoChat, you can use GPT-4 for free. If you want to experience GPT-4 for free, you can read our related post by clicking here.
TextCortex AI: More than an AI Assistant
If you are looking for an AI tool that has its own language models in addition to the GPT-4 language model, you should try TextCortex. TextCortex is an AI assistant that aims to meet the different needs of users with its various features. TextCortex is available as a web application and browser extension. Its browser extension is integrated with 4000+ websites. Thus, you can continue to use TextCortex at every moment of your internet adventure.
Looking for a conversational AI that can keep up with the nuances of human communication? Look no further than TextCortex's ZenoChat. With a customizable persona and access to both the GPT-4 and Sophos language models, ZenoChat can generate responses that are not only highly accurate but also creative and human-like.