Llama is an open-source AI foundation model platform providing powerful language (and multimodal) capabilities. It enables developers and organisations to deploy, fine-tune, and integrate large-language-model functionality (text, images, tool-calling) with flexibility, while also supporting advanced features like large context windows and multilingual processing.
Llama AI by Meta offers cutting-edge, open-source large language models with sizes ranging from 1 billion to over 400 billion parameters. Key features include native multimodal understanding (text, images, code), extended context windows up to millions of tokens, and advanced architectures like Mixture-of-Experts for efficient processing. It supports multilingual tasks, fine-tuning, and fast inference.
Moreover, the platform markets support for handling long documents (large context windows), making it suitable for applications like document analysis, business-report summarisation, visual Q&A over images/charts, and domain-specific AI assistants.
1. Highly flexible and fine-tunable architecture.
2. Faster responses (35% improvement) via optimized algorithms
3. Includes tool-calling/integration capabilities for external workflows.
4. Deployment options allow cost control and infrastructure ownership.
5. Multilingual and global-ready modelling for diverse use-cases.
1. High computational/resource demands for large models.
2. Setup and integration complexity may be significant.
3. Less “plug-and-play” than fully proprietary turnkey solutions
4. Domain-specific fine-tuning still required for high-quality business-use outputs.
5. You must manage infrastructure, maintenance, safety/alignment yourself
