Blog
Company Updates & Technology Articles
July 23, 2024
Meta and Scale Partner to Drive Enterprise Adoption of Llama 3.1 405B Using Scale GenAI Platform
![](/_next/image?url=https%3A%2F%2Fsite-assets.plasmic.app%2Febc0b90574d494cab1ce41839d30cdac.png&w=1920&q=100)
Scale is proud to be a Llama 3.1 Launch Partner! Llama 3.1 405B is the largest openly available foundation model with capabilities that rival the best closed-source models. Scale Data Engine provided a large amount of data for supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) to help make Llama 3.1 the leading open-source LLM. Now, Meta and Scale also partnered to help businesses customize, evaluate, and deploy Llama 3.1 405B for enterprise use cases using Scale GenAI Platform.
March 27, 2024
Essential Elements to Ensure Effective AI Adoption in the U.S. Government
![](/_next/image?url=https%3A%2F%2Fsite-assets.plasmic.app%2Fe13e1bc04fe8123b5fc15100d39091ef.png&w=1920&q=100)
It is no secret that the world is heavily investing in Artificial Intelligence (AI) because of the economic and societal benefits that it has the potential to deliver. Last year, President Biden proposed roughly $5.5 billion in government spending and his most recent budget proposal once again prioritized AI investment to ensure the United States’ global leadership in the government’s adoption of AI. Congress has also done its part by funding critical elements, such as the National Institute of Standards and Technology’s (NIST) recently announced AI Safety Institute Consortium that will bring industry together to develop essential AI safety benchmarks, frameworks and techniques.
March 18, 2024
Optimizing Open-Source Model Hosting with LLM Engine
![](/_next/image?url=https%3A%2F%2Fsite-assets.plasmic.app%2Fa54da5d13ce6832202604e3e17b9ebcb.png&w=1920&q=100)
In July 2023 we announced the launch of LLM Engine, our open-source platform for customizing and serving large language models (LLMs). We decided to open-source this platform to give all enterprises the opportunity to accelerate their ability to host and fine-tune LLMs.