When Meta AI announced their latest language model, Llama 2, they also released documentation that compared it to ChatGPT (GPT-3.5 model) in various areas. It's worth noting that GPT-3.5 is ChatGPT's default language model. Therefore, we'll be using this comparison and pitting Llama 2 against OpenAI's ChatGPT in this article. We'll delve into the details of both models and highlight their advantages to determine which one comes out on top.
So, buckle up and get ready to witness a battle of the language models!
- ChatGPT is highly creative and trained with over 570 GB of data, offering three parameter variations for maximum performance while reducing harmful output generation rates.
- Llama 2 is a new large language model released by Meta AI aimed at generating family-friendly output through reinforcement learning from human input and reward modeling.
- The Llama 2 language model is recommended for generating output on current topics, but it may produce less creative content than the ChatGPT when used to write stories or poems.
- Llama 2 outperforms ChatGPT in most benchmarks including generating safer outputs with a higher performance level on a test without coding or math reasoning prompts according to Meta AI's document.
- TextCortex is an advanced AI assistant that uses both GPT-4 and Sophos 2 language models. It offers a web application and browser extension, which are integrated with over 4000 websites.
What is GPT-3.5?
If you are using ChatGPT in its free version, we would like to point out that you are using GPT-3.5, not GPT-4. ChatGPT works with the GPT-3.5 model by default, unless you have a Plus subscription, you generate output using this model. Although GPT-3.5 is more advanced than most open-source language models, it drags behind Llama-2 70B in benchmarks and tests.
Although the GPT-3.5 model does not have as high performance as the GPT-4, it is capable of completing most daily tasks. Since the GPT-3.5 model is trained with internet data until June 2021, it does not have enough information on current issues. For this reason, it is not able to generate output about the latest topics.
It is possible to say that the GPT-3.5 language model does not have any shortcomings in creativity and can even generate high-quality output most of the time. If you want to design an FRP game using ChatGPT, or if you want to write a novel, manga script, you can do it.
GPT-3.5 Data Size and Parameters
The GPT-3.5 model has been trained with over 570GB of data, allowing it to complete various tasks with high quality. This training data includes books, Wikipedia, academic papers, and WordPress-based websites. GPT-3.5 offers three parameter variations - 1.3B, 6B, and 175B - to provide users with maximum performance. As a result, its harmful output-generating rate has been reduced, making it more family-friendly.
What is Llama 2?
Llama 2 is the newest large language model released by Meta AI on July 18, 2023. This model aims to generate family-friendly output for users. For this reason, it has been trained with Reinforcement Learning from Human Input (RL) and reward modelling. In summary, these models allow the Llama 2 language model to become familiar with human choices and generate non-toxic output.
Llama 2 Performance
The Llama 2 is a language model with slightly higher performance than the GPT-3.5 language model. Since up-to-date Google information is used while training the Llama 2 language model, we recommend that you use the Llama 2 language model if you need to generate output on current topics.
Llama 2 Creativity
Although Llama 2 generates family-friendly content, this reduces its creativity. If you want to generate a story or poem using this language model, you will get a piece with lower creativity compared to the GPT-3.5 model.
Llama 2 Data Size and Parameters
Although we do not know the data size of Llama 2, we do know that it was trained using a mix of publicly available online sources. Another thing we know is that its trained data does not include private and personal information from Meta products and services. The Llama 2 language model is released with three different parameter sizes: 7B, 13B, and 70B.
OpenAI’s GPT-3.5 vs Llama 2
When comparing two language models, both have their own advantages and disadvantages. As a user, it is up to you to decide which language model to use. To assist you in making a decision, we have provided a list of the differences between the two language models.
While there are usually minor differences between the Llama 2 and OpenAI's GPT-3.5 language models, there are also major differences that take precedence over the others depending on your intended use.
• The trained data of the GPT-3.5 language model is higher than that of Llama 2.
• The parameter size of the GPT-3.5 language model is larger than Llama 2.
• Llama 2 language model generates safer output than GPT-3.5.
• Llama 2 language model offer more up-to-date data than OpenAI's GPT-3.5.
• GPT-3.5 is more accessible than Llama 2.
• Llama 2's performance is higher than ChatGPT.
When we examine the document published by Meta AI, it is possible to see that the Llama 2 language model surpasses the GPT-3.5 language model in most benchmarks. For example, in the safety tests using the 2000 prompt, the Llama 2 language model generated a far safer output.
To compare the performance of the two language models, Meta AI used a 4000-prompt test without coding, math, and reasoning. According to these test results, the Llama 2 language model has slightly higher performance.
Considering all the benchmarks and differences, it is possible to say that the Llama 2 language model is slightly more intelligent and helpful than the GPT-3.5. But when it comes to use cases, its possible to say that using ChatGPT is easier. If you are looking for an AI tool with better performance than two language models, TextCortex is the way to go.
Better Alternative for Both: TextCortex
TextCortex is an advanced AI assistant that uses both the GPT-4 and Sophos 2 language models. And what's better is that you can tailor it to your needs however you like with your inputs and style! It is available as a web application and browser extension. The TextCortex browser extension is integrated with over 10.000 websites and apps, including Facebook, Instagram, Gmail, YouTube, and more. Therefore, TextCortex can always support you in your internet adventures.
TextCortex comes with the best conversational AI called ZenoChat. ZenoChat is a customizable conversational AI with features that you can use for various purposes. It comes with 12 different personas. Moreover, you can build your own AI persona using TextCortex's "Individual Personas" feature.
ZenoChat offers the "Knowledge Bases" feature, allowing users to chat with their documents and translate them into over 25 languages. This feature also allows you to modify ZenoChat's data source as you wish.
Are you excited about a conversational AI that you can customize and use as your personal assistant? Click here to create your free TextCortex account and try its unique capabilities.