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Description
Lamini is an AI-powered LLM platform designed specifically for enterprise software development. It harnesses the power of generative AI and machine learning to automate workflows, streamline the software development process, and increase productivity. The platform offers unique features such as the ability to build customized, private models that use task-specific data generation based on private data. It goes beyond prompt-tuning and fine-tuning, offering 10x fewer training iterations with automatic base model selection, retrieval-augmented training, parameter-efficient fine-tuning, data generation, and auto-evaluation. The Lamini library allows software engineers to easily train new LLMs and rapidly ship new versions with an API call. The platform provides control over data privacy, ownership, flexibility, cost, latency, and throughput compared to using off-the-shelf APIs from a single provider. Lamini works with various LLMs, including those from HuggingFace and OpenAI, tailoring the selection based on specific use cases and data constraints. Users can export the trained model and run it on their own infrastructure if desired. The platform offers a free tier for small LLMs and provides enterprise options for larger models with customizable throughput and latency. Overall, Lamini empowers developers with the tools and capabilities to build and deploy their own AI models using their private data.
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