Abstract
- The more AI we have, the happier we are? Meta introduces updated Llama large-scale language models for AI development.
- Google exploring OpenAI. For the first time, Llama has been added to MetaAI, providing users with an AI prompt and response experience similar to ChatGPT and Gemini.
- Meta roadmap. The combination of Llama 3 and Meta AI brings exciting new enhancements to Instagram, WhatsApp, Facebook Messenger, and Facebook, as well as new challenges.
Last year, Facebook’s parent company Meta entered the AI development race with the announcement of Llama 2. This week, Meta announced his updated Llama (Llama 3), adding the latest large-scale language models to his up-and-coming AI assistant, Meta AI.
Meta’s release of Llama 3 and its integration into Meta AI represents a significant leap forward in AI-driven capabilities across the company’s social media platforms, specifically Instagram, WhatsApp, Facebook Messenger, and Faceook. This update enables more interactive and personalized content creation, including image generation and AI assistance directly within the platform’s interface, enhancing user engagement.
For marketers, this development opens new avenues for innovative content strategies that leverage AI to create engaging visuals and responsive communication tools.
Meta didn’t waste the opportunity to establish itself among the AI giants with its latest advancements, particularly OpenAI’s veiled shot at ChatGPT. “Thanks to the latest advancements with Meta Llama 3,” his Meta folks wrote in his April 18 blog. “We believe Meta AI is the most intelligent AI assistant available for free today, and now available in more countries through our app, it lets you plan your dinner based on what’s in your fridge. It’s useful for studying and studying for tests.
Let’s take a look at what’s new in Llama 3 and how image creation looks with Meta AI.
Introducing Llama 3: New variations and advanced features of Meta
Meta launched Llama 3 in two open source variants: Llama 3 8B model and 70B model. This model features improved pre-training and training. Meta claims the new improvements provide more accurate responses and a broader knowledge base that can be queried within large language models.
Among the touted developer features is enhanced integration with Torchtune, a PyTorch extension library designed to allow programmers to fine-tune LLM parameters. PyTorch is a popular machine learning library used by R programming and Python developers (Llama 2 mentioned in his post that Microsoft and Meta are responsible for the development of his Pytorch). Therefore, additional integrations will likely encourage more developers to invest in learning and using it. Llama 3.
Even more appealing to developers is the wide range of applications available in a variety of development environments. Llama 3 models are available on various LLM development platforms such as AWS, Databricks, and Hugging Face. Support is also provided from hardware platforms such as AMD, Dell, Intel, NVIDIA, and Qualcomm.
Over the coming months, Meta will be introducing additional model performance features, including the ability to handle longer context windows and additional model sizes. The size of the model is noteworthy. In my post about Llama 2, I mentioned that one of the aspects being researched among AI developers is reducing the size of models. Increased interest in studying model performance at smaller sizes will allow AI to be better designed for devices and smaller program applications. Performance outcomes will be detailed in future research papers behind the Llama 3 development.
Related article: How Meta’s Llama 2 will change the relationship between marketing and AI
Meta AI: Improve user experience with on-demand AI tools
The big news in the launch of Llama 3 is the addition of Meta AI, an AI assistant that can be accessed online via a free dedicated website or the search text box on the Meta social media platform.
Meta AI’s website presents users with an interface that is very similar to that of other generative AI assistants such as Propexity and ChatGPT. Users interested in creating images will be directed to the image creation page using her second button on the left. Users can prompt Meta AI to create an image. Image suggestions appear as you type the prompt. This is very different from ChatGPT or Propensity’s DALL-E, where users have to wait for suggested images to appear.
There is also an option to animate the image. However, the results produced are reduced to a 1-2 second loop.
Meta AI can handle a variety of assistant queries, such as creating a travel packing list or suggesting game ideas. This was also a waste, as was OpenAI’s ChatGPT and Google’s Gemini.
Meta AI is accessible through the search box on WhatsApp, Instagram, Facebook, and Messenger, allowing users to access support within their favorite social media platforms.
Related article: Zuckerberg announces new top-level team focused on generative AI
What does this mean for marketers?
What will be most interesting is how these latest innovations will be positioned for the benefit of ordinary social media users. His Llama 2 announcement last year was aimed at developers looking to develop their own AI.
Bringing Llama 3 to social media via Meta AI allows influencers to experiment with image creation and explore ideas for support. The overall result should be deeper engagement among even the most casual platform users, allowing them to use the platform longer and more productively. His current Facebook, Whatsapp, and Instagram viewers will experience AI delivered in the same way OpenAI is delivered through his ChatGPT.
Additionally, each platform has a vast amount of content sources, allowing Meta AI to create recommendations that are more relevant to specific social media users.
Marketers should see this as an exciting opportunity to consider AI-powered content creation. We also need to pay attention to how the public adopts this feature. The ability to create cute images and share them through a platform designed for rapid communication accelerates the way people communicate with engaging images.
Meta’s AI safety measures: Fighting misinformation and increasing user trust
Incorporating advanced AI into its social media features will test Meta’s ability to protect users from deepfake images and the spread of misinformation on the platform. While accusations against meth over misinformation are not new, many issues that have arisen in the past have created an ongoing negative brand image regarding safety of use.
Meta points out that Llama 3 includes safety mechanisms to detect harmful, offensive, or inappropriate words in prompts that can produce problematic results. Since this includes access via Messenger and WhatsApp, Meta will also have to step up its efforts to prevent fake users from leveraging her AI to present false messages and scams.
Ultimately, the introduction of AI image generation on two of the most popular social media platforms, Facebook and Instagram, will further increase social media platform responsiveness and the public’s appetite for AI content creation and support. There will be ripples.
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