Llama 2, the latest version of Meta AI's language models, is set to revolutionize the field of artificial intelligence.

With its improved capabilities and increased efficiency, Llama 2 promises to be a powerful open-source large language model for individual and professional users. But what are its capabilities and use cases? What can it do for you? If you are wondering for answers, keep reading.

In this article, we will examine the Llama 2 language model's capabilities and its use cases.


  • Llama 2 is a new language model by Meta AI that promises to revolutionize artificial intelligence.
  • It has improved capabilities and efficiency, making it useful for both individual and professional users.
  • Llama 2 is a language model that can generate safe and helpful text for various purposes such as blog posts, articles, stories, poems, or social media content.
  • It's also effective in summarizing English texts quickly without losing critical information.
  • If you are looking for an AI assistant with which you can complete all your text-based tasks more effectively and efficiently in 25+ languages than Llama 2, then TextCortex is designed for you.
  • TextCortex offers over 100 templates for different tasks including paraphrasing in multiple languages, changing tone of voice, fixing grammar mistakes, and translating documents quickly.
  • TextCortex offers a customizable conversational AI called ZenoChat.

Llama 2 Overview

Llama 2 is the newest large language model developed and released by Meta AI and an advanced version of Llama 1, its predecessor.

It comes with a lot of improvements and innovations that make it a powerful and useful AI tool for both individual and professional users.

LLAMA 2 Use cases

What does it do?

While the Llama 2 language model generates output, it uses its trained data to understand the meaning and intent of words and decide how to use them.

One of the most impressive features of Llama 2 is its ability to generate safe and non-toxic text without any additional prompt or guidance from users. Meta AI has specifically ensured that it does not generate harmful content while training the Llama 2 language model.


The Llama 2 language model is more advanced than its predecessor when it comes to accuracy and performance. Thus, the Llama 2 language model is successful and effective in generating the output users want.

One of the major improvements of Llama 2 is its use of the Reinforcement Learning from Human Feedback (RLHF) model. This model works by scoring the outputs generated by the language model and selecting the most useful one for humans. In other words, the Llama 2 language model is trained to generate helpful content for people.

Reward Modeling

The Llama 2 language model has been trained with two different reward models to provide users with high-quality and effective output. The first reward model scores the usefulness of generated output for the user. The second reward model calculates the safety scores of all generated output to ensure it does not include harmful content. If an output has a low score in either helpfulness or safety, it will not be provided as a response.

how to use llama 2

Llama 2 Use Cases

Llama 2 is designed to facilitate the tasks of users in daily and professional life, as it is a large language model. Like every large language model, Llama 2 is a tool with great potential for users. Let's take a look at some potential use cases of Llama 2.

Text Generation

Llama 2 can be used to generate text that is safe and non-harmful.

llama 2 for text generation

It could be useful when creating blog posts, articles, stories, poems, creative writings, novels, and even YouTube scripts or social media posts. By providing a few words or sentences as input, Llama 2 will generate new and unique text based on its parameters and what it learns from its trained data.

LLaMa 2 Summarization

Llama 2 language model is an effective model to summarize provided texts without losing any critical information. But if we consider the benchmarks of Meta AI, we can notice that it is only effective in English output generation. If you have English texts that you want to summarize, you can sum them up in a few seconds using the Llama 2 language model. Simply copy-paste your existing texts and, enter an input like “Summarize following paragraph: [Your Text]” in Llama 2.

llama 2 summarization

Text Extender

If you want to improve the quality of your existing sentences or paragraphs and add more sentences or words to them, Llama 2, which utilizes natural language processing technology, is designed for you. Because the Llama 2 language model works with prompting like ChatGPT, you can check our ChatGPT prompt guide. The same prompts will allow you to get similar outputs in Llama 2 Chatbots.

TextCortex AI: All-in-One AI Assistant to Summarize Text (and do much more.)

When it comes to text generation, summarization, and text expansion, TextCortex is the way to go. TextCortex is an AI assistant designed to complete any text-based task of users with its various features. It is available as a web application and browser extension which integrated with 4000+ websites and apps. Thus, you can complete your text-based tasks with ease using TextCortex no matter which webpage you are on.

What TextCortex Capable of?

TextCortex offers its users 100+ templates designed for different tasks. Using these templates, you can summarize your existing texts, expand your sentences and paragraphs, generate text, and complete much more tasks. The most popular TextCortex templates are:

ZenoChat – Multifunctional Conversational AI

TextCortex comes with the conversational AI of your dreams called ZenoChat. You can summarize, expand, rewrite, and change the tone of voice of your existing texts or generate human-like and unique texts using ZenoChat. Moreover, by using ZenoChat's web search toggle, you can limit the datasets that ZenoChat will use while generating output to one of the Internet, Scholar, News, YouTube, Reddit, Twitter, and Wikipedia options.

ZenoChat comes with 12 different personas to effectively complete your specific tasks. Among these personas, you can find various personas from “Lisa, the language tandem partner”, which you can use for language tasks, to “Sally, the sales manager”, which you can use in your ecommerce tasks. If these personas are not enough for you, you can build your own digital persona using the "Individual Personas" feature of TextCortex.

ZenoChat comes with a feature called “Knowledge Bases” to provide maximum benefit to its users. Using this feature, you can upload any document file and chat with them via ZenoChat or translate them into 25+ languages. Moreover, with this feature, you can connect your datasets such as Google Drive, GitHub, and Notion.

How to Start Using TextCortex?

You need to create an account to experience TextCortex freely. Simply head to the TextCortex webpage and click the sign-up button. Then you can start using all the features of TextCortex by using our web application or by installing our browser extension.