// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
LLaMA
LLaMA is a family of large language models developed by Meta, designed to be efficient and accessible for researchers.
TECHNICAL DEFINITION
LLaMA (Large Language Model Meta AI) is a collection of foundational large language models released by Meta AI, characterized by their smaller parameter counts compared to some contemporaries, making them more efficient for research and fine-tuning.
BACKGROUND
Generative artificial intelligence (GenAI) is a subfield of artificial intelligence (AI) that uses generative models to generate text, images, videos, audio, software code or other forms of data. These models learn the underlying patterns and structures of their training data, and use them to generate new data in response to input, which often takes the form of natural language prompts.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Large Language Model Meta AI
- Meta LLaMA
USAGE NOTE
Popular among researchers for fine-tuning and developing new language applications due to its open availability.
DEVELOPERS
Organizations developing technology related to LLaMA.
The research lab at Meta (formerly Facebook) that created and developed the LLaMA (Large Language Model Meta AI) family of open-source large language models, including Llama 2 and Llama 3.
A central platform in the AI ecosystem that hosts LLaMA models and provides essential tools like the 'transformers' library for downloading, fine-tuning, and deploying them. They are a key enabler for the community built around LLaMA.
An enterprise data and AI company that provides a platform for fine-tuning, managing, and deploying LLMs like LLaMA for business use cases. They acquired MosaicML, a company specializing in efficient LLM training.
A cloud platform specializing in providing high-performance inference and fine-tuning services for open-source models, with a strong focus on the LLaMA family. They build infrastructure to run these models faster and more cost-effectively.
Founded by the creators of the Ray framework, Anyscale provides a platform for scaling AI applications. They develop technology like Ray Serve for the efficient, large-scale deployment and serving of open-source models including LLaMA.
As the primary provider of GPUs used to train and run large models, NVIDIA develops critical software like CUDA, cuDNN, and TensorRT-LLM, which directly optimize the performance of LLaMA models on their hardware.
A semiconductor company that develops technology to run generative AI models, including LLaMA, efficiently on-device. Their work focuses on optimizing LLMs for low-power execution on Snapdragon mobile and PC chipsets.
An AI search company that leverages and fine-tunes open-source large language models, including models from the LLaMA family, to power its conversational answer engine. They develop application-specific versions of these models.