About This Site
Enterprise LLM platform for developing and controlling custom LLMs with high accuracy. Lamini is an enterprise LLM platform designed for software teams to develop and control their own LLMs. It offers built-in best practices for specializing LLMs on proprietary documents, improving performance, reducing hallucinations, offering citations, and ensuring safety. Lamini can be installed on-premise or on clouds securely and is the only platform for running LLMs on AMD GPUs and scaling to thousands with confidence.
Alternatives
Upstage AI
AI for LLMs and document processing to transform business workflows.
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LM Studio
LM Studio: Run and download LLMs locally, supporting LLaMa, MPT, and Gemma.
LM Studio offers fast and secure local LLM running and download services, supporting various models like LLaMa, MPT, and Gemma. It allows users to run LLMs on their laptop entirely offline, use models through the in-app Chat UI or an OpenAI compatible local server, download compatible model files from Hugging Face repositories, and discover new & noteworthy LLMs in the app's home page. It simplifies the use of open-source large language models (LLMs) without needing programming skills.
Laguna by Poolside
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Poolside is a foundation model company dedicated to bringing artificial intelligence to everywhere work gets done, with the ultimate mission of creating artificial general intelligence (AGI) to drive abundance for humanity. The company has chosen software engineering as its strategic beachhead, believing that software development mirrors human reasoning through its requirements for multi-step complex reasoning, world understanding, and long-horizon planning. Poolside builds capable foundation models, developer surfaces (such as TUI, IDE extensions, and binaries), and single or multi-agent orchestration systems that can plan, use tools, and execute within sandboxed environments. Focused on high-consequence enterprise and government environments, Poolside's stack is designed to be battle-tested and deployed entirely within a customer's secure boundary, including on-prem, VPC, and air-gapped networks, ensuring private data never leaves their control.
Key Features AI
Core Features
LLM fine-tuning
Hallucination reduction
Memory RAG
Classifier Agent Toolkit
Text-to-SQL agent building
Function calling
Secure deployment (on-premise, VPC, air-gapped)
Advantages
Reduces LLM hallucinations significantly (up to 95%)
Enables building smaller, faster LLMs and agents
Supports secure deployment in various environments
Offers high accuracy for content classification and text-to-SQL
Reduces engineering time for fine-tuning models
Provides tools for evaluating LLM performance
缺点:Pricing is not transparent and requires contacting for details for some plans
缺点:May require some machine learning expertise to fully leverage the platform
缺点:Reliance on AMD GPUs for optimal performance
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