AI Stickers on WhatsApp and Ethically Using AI for Business
TL;DR
- Meta has recently announced that they will be introducing AI functionalities that will allow you to create custom stickers from prompts
- These will be generated by Emu (Meta’s image generation model) and Llama 2 (Meta’s Large Language Model)
- They represent a trend towards transparency and are setting industry standards in the field of AI content generation
- They have also released papers and guides on the ethical use of AI models
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Millions of stickers are sent on WhatsApp every month and are a creative way for people to express themselves. Meta recently announced that they are introducing AI-based stickers that enable you to generate custom stickers in a single click. This is one of the new AI-based innovations that are being introduced and integrated with several of Meta’s platforms over the next few months. A few of these have been discussed in previous blogs, including AI avatars and image generation. In this blog, we will be talking about AI stickers and the safeguards that Meta has put in place to ensure the ethical use of their software.
AI-stickers are created by using Emu, Meta’s image generation model in tandem with Llama 2, their LLM available to the public. They interpret your prompts and turn them into unique, high-quality stickers in seconds. It also provides you with multiple variations of the stickers so you can choose one that suits your ideals. It is rolling out over the next month on WhatsApp and other Meta platforms in select regions and provides a multitude of options to convey how you’re feeling.
What is Llama 2?
Llama 2 is the latest iteration of Llama, Meta’s Large Language Model (LLM) that they have made available for research and commercial purposes for free. This is a part of their efforts towards making a collaborative community innovating together in the field of AI. They have partnered with Microsoft to provide Llama 2 through Azure, with Amazon through Amazon Web Services, and with several other providers.
They have also made significant strides towards the responsible use of AI. All their models that are available to the public are red-teamed, which means they have been repeatedly tested for security reasons. This is done by their internal teams as well as third-party agents that are commissioned to identify lags or gaps in performance. Any issues are remedied and the updated models are released to the public. They have also implemented a policy that prevents the use of their models for certain purposes. This ensures fair use and lets developers responsibly utilize these models.
Their efforts towards transparency are also commendable. They have published a paper that highlights this endeavor in a transparency schematic. This identifies challenges that the developers have come across while perfecting Llama and provides insights into how to mitigate or remedy them. It also provides additional notes on potential strategies that can be adopted later in the future.
Meta also provides a guide that acts as a resource for those struggling to understand how to responsibly use LLM software. It contains safety regulations, and best practices and is essentially a manual for the responsible use of generative AI. This guide is built in collaboration with industry specialists as well as the AI research community as a whole. This ensures that it is up-to-date and accurately reflects the current state of AI research and development.
This is one of the new AI-based innovations that are being introduced and integrated with several of Meta’s platforms over the next few months. AI is becoming increasingly prevalent in our world and adopting it for business is a safe option for future-proofing your organization. Stay tuned to this blog to stay updated on the latest developments in AI and WhatsApp.
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