Introducing Llama 4
The Llama 4 models mark the beginning of a new era for the Llama ecosystem, delivering the most scalable generation of Llama. With native multimodality, mixture-of-experts architecture, expanded context windows, significant performance improvements, and optimized computational efficiency, Llama 4 is engineered to address diverse application requirements. The Llama 4 models come in easy-to-deploy sizes, making them adaptable for various use cases.
Benefits
Meet Llama
For over the past decade, Meta has been focused on putting tools into the hands of developers and fostering collaboration and advancements among developers, researchers, and organizations. Llama models are available in a range of parameter sizes, enabling developers to select the model that best fits their needs and inference budget. Llama models in Amazon Bedrock open up a world of possibilities because developers don't need to worry about scalability or managing infrastructure. Amazon Bedrock is a turnkey way for developers to get started using Llama.
Use cases
Llama models excel at image understanding and visual reasoning, language nuances, contextual understanding, and complex tasks, such as visual data analysis, image captioning, dialogue generation, and translation, and can handle multistep tasks seamlessly. Additional use cases Llama models are a great fit for include sophisticated visual reasoning and understanding, image-text-retrieval, visual grounding, document visual question answering, text summarization and accuracy, text classification, sentiment analysis and nuance reasoning, language modeling, dialog systems, code generation, and following instructions.
Model versions
Nomura uses Llama models from Meta in Amazon Bedrock to democratize generative AI
Aniruddh Singh, Nomura's Executive Director and Enterprise Architect, outlines the financial institution’s journey to democratize generative AI firm-wide using Amazon Bedrock and Llama models from Meta. Amazon Bedrock provides critical access to leading foundation models like Llama, enabling seamless integration. Llama offers key benefits to Nomura, including faster innovation, transparency, bias guardrails, and robust performance across text summarization, code generation, log analysis, and document processing.
TaskUs revolutionizes customer experiences using Llama models from Meta in Amazon Bedrock
TaskUs, a leading provider of outsourced digital services and next-generation customer experience to the world’s most innovative companies, helps its clients represent, protect, and grow their brands. Its innovative TaskGPT platform, powered by Amazon Bedrock and Llama models from Meta, empowers teammates to deliver exceptional service. TaskUs builds tools on TaskGPT that leverage Amazon Bedrock and Llama for cost-effective paraphrasing, content generation, comprehension, and complex task handling.