Build the Future of AI with Meta Llama 3

Open-source AI projects have democratized access to cutting-edge AI technologies, fostering collaboration and driving rapid progress in the field. Meta's announcement of the release of Meta Llama 3 models marks a significant advancement in the open-source AI foundation model space. Llama 3 is an accessible, open large language model (LLM) designed for developers, researchers and businesses to build, experiment and responsibly scale their generative AI ideas. These latest generation LLMs build upon the success of the Meta Llama 2 models, offering improvements in performance, accuracy and capabilities.

Key advancements in Llama 3 include enhancements in post-training procedures, aimed at improving capabilities such as reasoning, code generation and following instructions. Additionally, improvements in the model architecture, such as an increased vocabulary size and a greatly improved tokenizer, enable more efficient language encoding. The input token context size has also been increased from 4K to 8K, benefiting use cases with large input tokens, such as RAG (retrieval-augmented generation).

Use Cases

Currently, four variants of Llama 3 models are available, including 8B and 70B parameter size models in pre-trained and instruction-tuned versions. Enterprises can leverage the open distribution and commercially permissive license of Llama models to deploy these models on-premises for a wide range of use cases, including chatbots, customer assistance, code generation and document creation.

Model Size	Recommendation	Use Cases
8B	Ideal for limited computational power and resources Faster inference times Edge devices	Text summarization Retrieval Augmented Generation Sentiment analysis Language Translation
70B	Content creation Conversational AI Language understanding Research and development	Text summarization + accuracy Text classification + accuracy and nuance Sentiment analysis + nuances reasoning Language modeling Code generation

Dell PowerEdge and Meta Llama models: A Powerhouse Solution for Generative AI

Dell's engineers have been actively working with Meta to deploy the Llama 3 models on Dell's compute platforms, including the PowerEdge XE9680, XE8640 and R760XA, leveraging a mix of GPU models. Since Llama 3 models are based on a standard decoder-only transformer architecture, they can be seamlessly integrated into customers' existing software infrastructure, including inference frameworks such as TGI, vLLM or TensorRT-LLM.

Get Started with the Dell Accelerator Workshop for Generative AI

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