What You Need to Know About Meta’s Llama AI Before It Changes Everything - Get ahead and learn how this AI will transform your business and content.
In a recent interview, Mark Zuckerberg discussed Meta's latest AI release - Llama 3.1, and its implications for the AI landscape. Here are the key points from the interview and what it means for you as a creator, business, or user.
Meta’s Llama 3.1 has 405 billion parameters (brainpower) compared to OpenAI’s GPT-4, which has 175 billion. Think of parameters as tiny decision-makers inside the AI model.
More parameters mean the #AI can handle more complex tasks and provide more accurate and smarter AI applications. For instance, with Llama 3.1, chatbots might understand and respond more naturally, improving customer support and reducing costs since you'll need fewer humans to intervene.
Video recommendations and ad targeting will be more precise, since Meta’s vast user data from WhatsApp, Instagram, Facebook, Threads, etc., can be used to train and fine-tune Llama 3.1, making the model more relevant, effective and natural sounding for in real-world applications.
It will be easy to use for everyone, even with minimal technical expertise. For example, creators can easily interact with their audience through AI agents or chatbots. These bots can even be trained to look and sound like the creator in video form, not just text, to have natural conversations.
For marketers, a user shopping for a car, for example, will see your ad based on their intent, interactions, conversations and preferences, rather than generic ones. Ads can be more precisely targeted to those most likely to buy your product or service.
Zuckerberg emphasized that AI should be open source – meaning free for developers to use and build upon. This approach could make AI technology more widely available, like how Linux became a standard in the tech world and accelerate the growth of app development.
Businesses and governments can create custom models using Llama 3.1 for tailored AI solutions. This includes predictive analytics for government services, AI-driven research tools in academia, and custom chatbots for businesses.
Meta envisions democratizing access to advanced AI, will allow small businesses to compete on a global scale and drive innovation. Monetization for those using Llama 3.1 can come from offering AI-powered services, creating AI agents, and developing custom solutions for clients.
The release of Llama 3.1 and Meta’s commitment to open-source AI is crucial for Meta’s future. An estimated 75% of Meta’s advertisers are small businesses, who use Meta’s precise targeting and cost-effective solutions to reach their audiences. With the growth of AI, it’s important that Meta provides a solution that will empower its customers, or risk losing them to competitors like Microsoft, who is reportedly training on TikTok’s AI.
Providing a highly capable and customizable model for free to enable a diverse range of contributors to advance AI technology sets Meta apart, potentially reshaping the future of AI development and application. This is a natural progression for Meta given their data trough from their applications, they do not need to depend on anyone, they can train llama internally. Helping their users become more efficient and ads better targeted ultimately ensuring their future success and income.
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