Jan 7, 2023
Introducing Eclipse: Our Enterprise LLM Framework
Artificial intelligence is advancing rapidly, with new large language models (LLM) emerging that are bigger, better, and more capable than ever before. Enterprises need AI solutions that can keep pace with this innovation and adapt to leverage new models as they are developed. Eclipse is a new large language model framework designed to meet this need.
Eclipse works seamlessly with all the latest models, from GPT-3.5 and GPT-4 to Claude 2 to LLaMa and more. The flexible architecture allows easy integration of new models and capabilities as AI continues its exponential growth. Enterprises using Eclipse can upgrade their AI applications to take advantage of cutting-edge innovations in natural language processing with minimal effort.
The framework is custom-built for enterprise needs, allowing companies to create tailored LLM solutions for their specific industry. Use cases span text applications like summarization, classification and answering questions to multimodal applications leveraging images, video and data. Eclipse also enables code completion, natural language to code, and integration with internal and external data sources.
Privacy, Security and Control for Enterprise AI
Many enterprises have held back from deploying AI due to concerns around data privacy, security risks, and loss of control. Eclipse resolves these barriers through its architecture and design.
Data privacy is ensured as companies can opt for no data to be retained when using Eclipse, making it compliant with internal governance & external data privacy regulations, such as GDPR. All processing is encrypted and Eclipse implements access controls, auditing, data anonymisation and more to protect confidential data.
Eclipse enables data sovereignty, allowing enterprises to retain complete ownership and control of their data. Companies get to choose where data is stored and processed using Eclipse's flexible deployment options including on-premise, hybrid and cloud-based implementations.
Tailored models are able to be trained using an organisation's own datasets, allowing proprietary data to remain completely secure and creating AI customised for their needs. This avoids reliance on external providers and reduces risks related to external data usage.
The Future of Enterprise AI
Eclipse represents the next evolution in enterprise AI. Its flexible architecture stands ready to leverage ongoing AI advancements from emerging models like GPT-4. Eclipse allows businesses to build custom solutions tailored to their specific needs and verticals across industries like:
Legal - Quick discovery, contract review and analysis
Healthcare - Improved decision making and personalised medicine
Retail - Recommendation engines and demand forecasting
Finance - Risk modeling, fraud detection and trading strategies
Manufacturing - Predictive maintenance and optimised production
With configurable UI and deployment options, Eclipse makes enterprise AI accessible and easy to integrate. Privacy and control are baked into the core design. Eclipse establishes a force multiplier for business productivity as AI capabilities grow exponentially. The future of AI is bright, and with Eclipse, enterprises have a framework ready to harness it.