Meta is pouring enormous resources into Artificial General Intelligence (AGI), AI models designed to think, reason, and learn ...

But Meta also makes the claim that the larger-parameter-count Llama 3 model, Llama 3 70B, is competitive with flagship generative AI models, including Gemini 1.5 Pro, the latest in Google's Gemini ...

Meta’s top executives have reportedly considered “de-investing” in the company’s Llama generative AI, according to a New York Times report on Friday. Instead, the Facebook parent may turn to AI models ...

Professional Research Consultants, Inc. (PRC), a leader in the experience improvement space, announced today a major ...

So, while Meta may have given Llama eyes, what it really needs is a brain. But since vision is apparently a much easier problem to solve than artificial general intelligence, we guess we can ...

In addition to its Llama 3 announcement on Thursday, Meta said that it's getting serious about Meta AI. For one, Meta AI will now live on a standalone site, where users can input queries for free.

Today, Meta announced a new family of AI models, Llama 2, designed to drive apps such as OpenAI's ChatGPT, Bing Chat and other modern chatbots. Trained on a mix of publicly available data, Meta ...

Llama 3 is Meta's answer to OpenAI's GPT-4, Anthropic's Claude 3, Google's Gemini, and other LLMs. Meta launched Llama 2 in July 2023 as an open-source platform, letting anyone use it as they see fit.

Meta has largely taken a very cautious approach with AI, but that hasn’t gone over well with the public, with previous versions of Llama criticized as too limited.

Meta tells Fast Company that the Llama 2 models were trained on 40% more tokens (words or word parts) than the original Llama 1 models, and can read and remember far longer prompts—up to 4,000 ...

Since Meta released Llama 2 as a (mostly) open-source project in July, the AI model has become a huge hit. So much so, that some experts are worried this powerful tool might be misused by bad actors.

Meta touts that Llama 2 was trained on 40% more data than the first model and announced that it will be available on Microsoft’s cloud computing platform Azure.