Meta AI introduced its groundbreaking Llama 2 learning language model back in September 2023. Now, nearly a year later, the company has unveiled a host of new features for its AI assistant, along with the debut of Llama 3.1 to support these updates.
One of the most significant developments is the expansion of Meta AI’s accessibility. With the inclusion of countries like Argentina, Chile, Colombia, Ecuador, Mexico, Peru, and Cameroon, the AI assistant can now be utilized in a total of 22 countries. Moreover, Meta AI is now available in additional languages, including French, German, Hindi, Hindi-Romanized Script, Italian, Portuguese, and Spanish. However, some of the new features are currently limited to specific locations or languages.
A notable addition to Meta’s repertoire is the beta tool known as “Imagine me,” which is being rolled out across the United States. This tool enables users to generate creative prompts such as “Imagine me surfing” or “Imagine me as a surrealist painting.” The AI assistant then uses an individual’s photo to bring these concepts to life. Additionally, users can now manipulate images by removing, altering, or editing their content. For instance, one can create an image of a duck using the “Imagine me” feature and then command Meta AI to transform the duck into a cat. In the near future, a new “Edit with AI” button will be introduced, allowing for further refinement of images. Furthermore, users will soon have the ability to create images using Meta AI across various platforms like Facebook, Instagram, WhatsApp, and Messenger, whether in a feed, comment, story, or message. Although this feature is set to launch this week, it will initially only be available in English.
Another exciting development is the unveiling of Llama 3.1 405B, Meta’s latest open-source AI model. This new model can be utilized on platforms such as WhatsApp and meta.ai for tasks like solving math problems and coding. Meta has committed to updating its AI technology every two weeks, promising users that they can look forward to a constant stream of new features and languages in the pipeline.
