# Meta

Koast.ai is an AI-powered tool designed to simplify ad management and launch processes for Meta advertisers. Through direct integration with Meta, it enables users to quickly launch ads in bulk and offers features like multi-account management, a creative library, and AI-generated reports. Its primary advantage lies in boosting ad launch efficiency and effectiveness, reducing manual time, and optimizing ad campaigns through data analysis. It's positioned as an efficient, intelligent ad management solution for brands and ad agencies, helping them stand out in a competitive market. The product offers tiered paid plans, including Pro and Agency options, to cater to the needs of different user segments.

MobileLLM-600M is an autoregressive language model developed by Meta, employing an optimized Transformer architecture specifically designed for resource-constrained device applications. This model incorporates key technologies such as the SwiGLU activation function, a deep and thin architecture, shared embeddings, and grouped query attention. MobileLLM-600M has shown a significant performance increase in zero-shot common sense reasoning tasks, achieving accuracy improvements of 2.7% and 4.3% compared to previous state-of-the-art models with 125M and 350M parameters, respectively. The design philosophy behind this model can be scaled to larger models, such as MobileLLM-1B and 1.5B, both of which have achieved state-of-the-art results.

Meta Llama 3.1 is a large language model released by Meta, featuring 70 billion parameters and supporting text generation in eight languages. It employs an optimized Transformer architecture and is further refined through supervised fine-tuning and reinforcement learning from human feedback to align with human preferences for helpfulness and safety. The model excels in multilingual conversation use cases, outperforming many existing open-source and closed chatbot models.

Meta Llama 3.1-405B is a series of large multilingual pre-trained language models developed by Meta, including models with sizes of 8B, 70B, and 405B. These models feature an optimized transformer architecture, tuned through supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) to align with human preferences for helpfulness and safety. The Llama 3.1 model supports several languages, including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. It excels in various natural language generation tasks and outperforms many existing open-source and closed chat models in industry benchmarking tests.