FYI - #llama is NOT#opensource. The license is categorically not open source. Among other things, the llama 2 and 3 licenses explicitly violate Field of Endeavor.
I see all sorts of blogs and marketing materials claiming things are "open source" because they used llama somewhere. Please do not take these claims at face value.
"There has been a shift in the #AI space: some models, like #ChatGPT & #Gemini, have evolved into entire web platforms spanning multiple use cases & access points. Other large language models like #LLaMa or #OLMo, though technically speaking they share a basic architecture, don’t actually fill the same role. They are intended to live in the background as a service or component, not in the foreground as a name brand." https://techcrunch.com/2024/04/19/too-many-models/
With all the valid concern around #llm and #genai power and water usage, I thought I'd start a blog series on tiny LLMs. Let's see what they can do on real tasks on very power efficient hardware.
The impact from smaller opensource LLMs like Llama3-8B and Phi-3 could be large. They are not necessarily the best and smartest models but can be easily integrated in software on every device and platform. Also they can be finetuned, improved with RAG to function better for specific tasks and in specific contexts. Exciting times ahead. #opensource#LLM#AI#Llama#Phi