The world of artificial intelligence is constantly evolving, and one promising advancement has the potential to revolutionize the way we interact with computers. LLaMA v2 is an excellent family of artificial intelligence language models developed by Meta. With its open source availability and commercial licensing options, LLaMA v2 is expected to create paradigm shifts in various fields, from chatbots and question answering systems to code generation and text summarization.
How to deploy locally
"ChatGPT is a thing of the past, run Llama 2 on your laptop for free (source code with model)"
https://blog.csdn.net/iCloudEnd/article/details/131841426
The Power of LLaMA v2
Imagine a future where chatbots hold conversations that are indistinguishable from human interactions, where question answering systems can handle whatever queries they ask, and where code generators can write code as efficiently and elegantly as experienced human engineers. LLaMA v2 promises to deliver on these fronts, setting a new benchmark for the capabilities of AI language models.
Size and training data
LLaMA v2 is the smallest of the three models, with a parameter range of 7 to 70 billion. Its competitors, Google AI's Bard and OpenAI's ChatGPT, have 137 billion and 175 billion parameters, respectively. Despite its relatively small size, LLaMA v2 still packs a punch, thanks to its training on an extensive dataset that includes both text and code.
Bard vs. ChatGPT vs. LLaMA v2
On benchmarks, LLaMA v2 outperforms both Bard and ChatGPT on various tasks. Its unique ability to generate more creative text formatting puts it ahead of Chat