Home Technology Meta takes on ChatGPT by open-sourcing its AI for a fierce competition

Meta takes on ChatGPT by open-sourcing its AI for a fierce competition

TL;DR

  • Meta announced it’s open-sourcing its large language model Llama 2.
  • Meta says the decision was made to give businesses, startups, and researchers access to more AI tools.
  • Llama 2 will be available through Microsoft Azure, AWS, Hugging Face, and other providers.

Today, at Microsoft’s Inspire event, the company unveiled various AI-related products and partnerships. During the event, Meta disclosed its collaboration with Microsoft, which will allow the public and researchers to use Meta’s large language model (LLM) free of charge.

As stated in Meta’s blog, the partnership with Microsoft expands, designating Microsoft as the preferred partner for Meta’s LLM, known as Llama 2. According to Microsoft’s blog, Llama 2 will be supported on Azure and Windows. Additionally, Meta and Qualcomm are collaborating to bring Llama 2 to mobile phones, laptops, and headsets starting in 2024 for AI-powered apps that do not rely on cloud services.

According to Meta, the decision to open-source Llama 2 is aimed at providing businesses, startups, entrepreneurs, and researchers with access to more AI tools. The availability of these tools will create opportunities for experimentation, innovation, and economic and social benefits.

Meta believes that by opening up access to its AI, it enhances safety. Developers and researchers will have the ability to stress test the LLM, enabling faster identification and resolution of any issues.

The company further explains that Llama 2 has undergone rigorous testing and fine-tuning for safety, including “red-teaming” where internal and external teams generated adversarial prompts. Meta emphasizes its commitment to ongoing safety improvements through fine-tuning and benchmarking the model.

Starting today, Llama 2 is available in the Azure AI model catalog and optimized for local use on Windows. It can also be accessed through Amazon Web Services (AWS), Hugging Face, and other providers.

 

Reference

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