FARSITE vs. Lightning AI
FARSITE
far.site/Government contractors encounter dozens of FAR clauses in every solicitation, contract and task order. Some clauses are simple, but many require action by various functions across an organization. FARSITE uses powerful AI & ML engines to help legal, contracts and compliance teams assess FAR clause obligations in advance, communicate specific compliance requirements to each team, and ensure accountability for future contracts. So, imagine taking a government contract solicitation or award document and simply dragging it into FARSITE. Yes, it’s that easy. Drag the document into FARSITE and our AI & Machine Learning engine will instantly extract clauses and execute our proprietary ClauseCheck algorithm. Key Features: FARSITE makes it easy for organizations to understand clause compliance obligations. Our simple and easy-to-follow compliance instructions have been prepared (and are continuously updated) by one of the nation’s most trusted law firms for U.S. Government contracting an...
Lightning AI
lightning.ai/Lightning AI is the company behind PyTorch Lightning, the deep learning framework for training, finetuning and serving AI models (80+ million downloads). PyTorch Lightning started in 2015 by Lightning founder William Falcon while working on computational neuroscience research at Columbia University scaling Generative Adversarial Networks and Autoencoders in the context of neural decoding working under Liam Paninski. He open sourced it in 2019 while pursuing a PhD in self-supervised learning (SSL) at NYU and Facebook AI Research (FAIR) supervised by Kyunghyun Cho and Yann Lecun. SSL techniques are at the heart of models like Chat GPT (next word prediction). In 2019 PyTorch Lightning started to be used to train huge models on 1024+ GPUs inside Facebook AI. Today, it’s used by over 10,000 companies and 1+ million developers to train, finetune and deploy the world’s largest models. Lightning AI started in 2020 as a platform to train models on the cloud across 1000s of GPUs. Today,...
Rankings
Pros
Cons
Pros
- You can build e2e AI solutions× 1
- Scale your models to dozens of GPUs in a few clicks× 1
- You can collaborate with your team on the cloud× 1
