Llama 2 is a family of open-source large language models designed for text generation, code assistance, and natural language understanding across various applications.
Llama 2 is an open-source large language model family designed for building AI-powered applications across research and production environments. Available in multiple parameter sizes and optimized for both CPU and GPU deployment, Llama 2 supports text generation, summarization, classification, translation, and conversational agents. The models are trained on a diverse corpus and fine-tuned for dialogue, enabling them to follow instructions, answer questions, and maintain context over extended interactions.
Key capabilities include code generation in several programming languages, content drafting for documentation or reports, data extraction from unstructured text, and support for knowledge retrieval when integrated with external tools or vector databases. Llama 2 can be run locally, in private clouds, or integrated into existing infrastructure via APIs, providing flexibility for organizations with strict data governance or latency requirements.
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