AI war: Open AI VS META VS Google

1) ChatGPT 


ChatGPT is an AI chatbot developed by OpenAI and launched on November 30, 2022. It is notable for enabling users to refine and steer a conversation towards a desired length, format, style, level of detail, and language used.

ChatGPT is trained on a massive dataset of text and code, and can be used for a variety of tasks, including:

  • Answering questions
  • Generating text
  • Translating languages
  • Writing different kinds of creative content
  • Completing requests thoughtfully

In March 2023, a ChatGPT bug was discovered that exposed titles, the first message of new conversations, and payment information from ChatGPT Plus users. This bug has since been fixed, but it raises concerns about the security of ChatGPT.

As a result of this bug, it is not recommended to use ChatGPT for work-related tasks that involve sensitive information. However, ChatGPT can still be used for a variety of other tasks, such as generating creative content or answering questions.

Here are some tips for using ChatGPT safely at work:

  • Do not share sensitive information with ChatGPT.
  • Be aware of the limitations of ChatGPT. It is not a perfect language model, and it can sometimes make mistakes.
  • Use ChatGPT for tasks that do not involve sensitive information.

If you are unsure whether or not it is safe to use ChatGPT for a particular task, it is best to consult with a security professional.



2) BARD


Bard is a large language model (LLM) chatbot developed by Google AI. It is trained on a massive dataset of text and code, and can be used for a variety of tasks, including:

  • Answering questions in an informative way, even if they are open ended, challenging, or strange.
  • Generating different creative text formats of text content, like poems, code, scripts, musical pieces, email, letters, etc.
  • Translating languages
  • Writing different kinds of creative content
  • Following your instructions and completing your requests thoughtfully.

Bard is still under development, but it has learned to perform many kinds of tasks. It is still learning and improving, and it is always looking for new ways to help people.

Here are some examples of what Bard can do:

  • It can answer your questions about a variety of topics, including science, history, literature, and current events.
  • It can generate different creative text formats, such as poems, code, scripts, musical pieces, email, and letters.
  • It can translate languages.
  • It can write different kinds of creative content, such as stories, poems, scripts, and email.
  • It can follow your instructions and complete your requests thoughtfully.

If you have any questions or requests, please feel free to ask Bard. It is always happy to help.



3) Llama2 


 Llama 2 is a large language model (LLM) chatbot developed by Meta AI. It is trained on a massive dataset of text and code, and can be used for a variety of tasks, including:

  • Answering questions
  • Generating text
  • Translating languages
  • Writing different kinds of creative content
  • Completing requests thoughtfully

Llama 2 is a successor to Llama, Meta AI's first-generation LLM chatbot. Llama 2 was trained on a dataset that is twice as large as the dataset used to train Llama, and it includes over 1 million new human annotations. This makes Llama 2 more capable of generating accurate and informative responses to a wider range of prompts and questions.

Here are some of the key features of Llama 2:

  • It is trained on a massive dataset of text and code, which makes it more capable of generating accurate and informative responses to a wider range of prompts and questions.
  • It includes over 1 million new human annotations, which helps to improve the accuracy and quality of its responses.
  • It is more efficient than Llama, which means that it can generate responses faster and with less computational resources.
  • It is open source, which means that anyone can use it to build new models or applications.

Llama 2 is a powerful tool that can be used for a variety of tasks. It is still under development, but it has the potential to revolutionize the way we interact with computers.



Comparison



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