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BIGGER IS NOT ALWAYS BETTER
In the ever-evolving landscape of Natural Language Processing, a new frontier is emerging: Small Language Models. These compact yet powerful models are poised to revolutionize the way we approach language understanding and generation. Small Language Models represent a paradigm shift, challenging the notion that bigger is always better in the world of language models, most of the exuberance isn’t due to any sort of revenue growth, but rather due to the rush to build ever larger models based on dreams about future business. We believe that smaller more targeted models are the future the smaller model sizes allow small language models to be more efficient, economical, and customizable than their largest counterparts and are the right solution for small to medium-sized organizations looking to adopt Gen AI
Introducing Sugriv: Your Secure Self-Hosted Solution for Small Language Models
In a world where data privacy concerns loom large and the cost of traditional machine learning solutions skyrockets with extensive labeling requirements, enterprises need a reliable and cost-effective alternative. Enter Sugriv a game-changing platform offering secure self-hosted GPTs tailored for your business needs our solution is a language model that can live on-prem or in the cloud and can be accessed from a browser via a URL, get complete control over your large language model and convert that to your competitive advantage
SUGRIV
Building from scratch | Buying (Commercial) | Using Open Source | |
Pros | complete data ownership , privacy,control and potentioal competitive advantage | Easy to use prototype and explore , quick to get started | save on training time and budget |
Cons | Expensive,risky and requires technical expertiese | Limited visiblity and explainablity and no data ownership | hosting and deployment costs , requires technical experties lack of configurablity , no competitive advantage |
SAFE AND RESPONSIBLE
While large language models can automate many tasks, human oversight remains essential, especially in safety-critical domains. Humans provide critical judgment, context, and intervention when necessary to prevent unintended consequences or errors. By incorporating these principles into the development and deployment of large language models, we can enhance their safety and contribute to the responsible use of artificial intelligence technology for the benefit of society.
OUR RESEARCH
OPTIMIZATION METHODS FOR SMALL LANGUAGE MODELS
FEDERATED LEARNING FOR TRANSFORMER NETWORKS
DISTRIBUTED REINFORCEMENT LEARNING WITH HUMAN FEEDBACK
SMALL LANGUAGE MODELS AND EMBODIED AI
OUR MISSION AT MONKEYPATCHED
Here are some aspects Monkeypatched focuses on :
- Cutting-Edge Research: Monkeypatched invests heavily in research to develop novel algorithms, models, and techniques.
- Product Development: Beyond research, Monkeypatched translates its findings into practical applications. This involves developing AI-powered products and solutions for various industries, such as healthcare, finance, manufacturing, or entertainment.
- Cross-Disciplinary Collaboration: Monkeypatched fosters collaboration between AI experts, domain specialists, and industry professionals. By combining expertise from diverse fields, we can tackle complex problems and create impactful solutions.
- Ethical and Responsible AI: Given the potential societal impact of AI technologies, Monkeypatched prioritizes ethical considerations. They may actively work to ensure their AI systems are transparent, fair, and respectful of privacy and human rights.
- Community Engagement: Monkeypatched contributes to the broader AI community through publications, open-source projects, and participation in conferences and events. This helps to share knowledge, collaborate with peers, and advance the field as a whole.
- Impactful Solutions: Ultimately, Monkeypatched aims to deliver impactful AI solutions that address real-world challenges and improve people's lives. Whether it's revolutionizing healthcare diagnostics, optimizing supply chains, or enhancing customer experiences, We strive to make a positive difference.
