Llama 2 is an advanced large language model that has been gaining a lot of attention in the technology world.

Presented as safer and more family-friendly than its competitors, it was released on July 18, 2023, and has the potential to become the preferred language model for individuals and professionals. From processing more safe and helpful content to generating complex texts, Llama 2 has many exciting use cases.

In this blog post, we will examine Llama 2 and delve into its capabilities.


  • Llama 2 by Meta AI is a new language model that was released on July 18, 2023.
  • It has gained attention in the technology world for its safety and family-friendly output generation.
  • Llama 2 language model uses reinforcement learning and reward modeling to improve decision-making and generate helpful and safe output.
  • Llama 2 is a language model that can be used for various applications such as text generation, summarization and question answering.
  • If you are looking for an AI tool that develops its own language model, TextCortex, which offers 100+ templates, is the way to go.
  • TextCortex comes with ZenoChat, the ultimate conversational AI that you can use on 4000+ websites and 25+ languages.

Overview of Llama 2

Llama 2 (Large Language Model Meta AI 2) is the next-gen natural language processing technology released with 3 model sizes. You can generate text, summarize, or rewrite your existing texts, and experience human-like conversations using the Llama 2 language model. Let's take a closer look at Meta AI's Llama 2.

LLaMa-2 Parameters

Llama 2 is a large language model released with three different data sizes: 7B, 13B, and 70B. Although each model has a different generation time and token spend, they are all useful for completing your daily tasks.

llama 2 parameters

To use the Llama 2 language model, you can complete the necessary steps from Meta AI's official website or use online tools such as Perplexity.

How was Llama 2 trained?

The Llama 2 language model is trained using two innovative technologies. The first of these technologies is Reinforcement Learning from Human Feedback (RLHF), which strengthens the decision-making of the language model. Thanks to this technology, Llama 2 can easily generate the output users need.

llama 2 vs chatgpt

The second technology used to train the Llama 2 language model is reward modeling. The Llama 2 language model has been trained with two different reward models. The first reward model focuses on increasing the helpfulness of the language model, while the second focuses on increasing its safety. These two reward modeling scores generated texts by Llama 2 and send the output with the highest score to the users as a response.

Is Llama 2 better than ChatGPT?

According to Meta AI's benchmarks, the Llama 2 language model is more effective and efficient than the default ChatGPT model, GPT-3.5. If you are using ChatGPT in its default model, we can say that the Llama 2 language model is a better option for text generation in terms of accuracy and safety. However, when it comes to math, reasoning, and code generation, ChatGPT is still better.

what is llama 2 used for

Capabilities of Llama 2 / Use Cases

Llama 2 is an incredibly powerful tool for creating non-harmful content such as blog posts, articles, academic papers, stories, and poems.

Llama 2 has many applications including writing emails, generating summaries, expanding sentences, and answering questions. It can also be used for automated customer service bots, helping reduce the need for human input.

Text Generation

Llama 2 leverages reinforcement learning from human feedback and natural language processing to generate text based on given prompts and commands. That means you can quickly create high-quality and non-toxic written content without spending hours at the keyboard. However, like every language model, Llama 2 doesn't give you completed text, it gives you a piece to work on.


Three sizes of the Llama 2 language model are capable of summarizing any written text in seconds. Simply copy and paste your existing text and give a prompt to Llama 2. It will quickly generate a summary of your text without losing any critical information.

Question & Answering

Like every language model, Llama 2 is successful in answering users' questions, analysing their commands and prompts, and generating output. The feature that distinguishes Llama 2 from other large language models is that it can generate safe output. According to Meta AI's benchmark, the Llama 2 language model generates lower violation output than its competitors.

how to access llama 2

TextCortex: All in One AI Assistant

If you are looking for an AI tool that develops its language model, TextCortex, which utilizes Sophos 2 and GPT-4 models, is the perfect solution for you. TextCortex is an AI assistant that you can use in various fields such as education, e-commerce, social media management, blog post, and emails. It is available as a web application and browser extension, which is integrated with 4000+ websites and apps. Let's take a closer look at TextCortex features.

Capabilities of TextCortex

TextCortex is the ultimate AI assistant that can help you complete various text-based tasks, as well as code generation tasks. TextCortex offers 100+ templates with various categories from ecommerce to education, from blogging to business. Some of the most popular TextCortex templates include:

and so much more. Click here to discover and try all of TextCortex templates.

ZenoChat – Fully Customizable AI Companion

ZenoChat is a conversational AI designed to support you on 4000+ websites. Using ZenoChat, you can easily complete various tasks, from text generation to code generation. All you need to use ZenoChat effectively is high-quality and accurate prompting.

ZenoChat comes with 12 different personas that you can use for various tasks. With ZenoChat's persona library, you can access various personas. From Linus, who can be used for code generation tasks, to Theresa, who is designed as a therapist. If you want to create your own AI persona for your specific tasks, you can use the "Individual Personas" feature.

ZenoChat offers its users the "Knowledge Bases" feature, where you can upload any document file or connect your datasets, such as Google Drive. Using this feature, you can chat with your documents or translate them into 25+ languages.

Automation with TextCortex

You can automate a wide range of tasks using TextCortex's Zapier and Make.com integrations. Thus, you can save labour and time, focus on the critical aspects of your business, and maximize your productivity and profit.