Revolutionizing AI: Meta Unveils New 8B and 70B Parameter Llama 3 Models, Driving Innovation Across Industries

Meta has recently unveiled the latest iteration of its open-source large language model, Llama 3. These models have been trained with 8B and 70B parameters, making them the best-in-class open source models in the industry. Integrated into the Meta AI assistant, these models aim to drive innovation in AI across various applications, development tools, and inference optimizations.

While the release of the models was initially anticipated in May, Meta has launched the first two models of the new Llama 3 generation earlier. These text-based models have been trained and fine-tuned with 8 billion and 70 billion parameters, showcasing advancements in reasoning, code generation, and instruction capabilities. They offer state-of-the-art performance across industry benchmarks and represent a significant improvement over the previous Llama 2 model.

In a comparative analysis with other models of similar parameter scales, such as Google’s Gemini and Anthropic’s Claude, Llama 3 has outperformed in the MMLU benchmark, demonstrating superior overall knowledge. Meta has conducted evaluations to showcase the model’s capabilities in various use cases, highlighting its effectiveness in tasks like advice-giving, brainstorming, topic classification, and coding skills, among others.

To train the Llama 3 model