Lamini Alternatives

Rapidly develop and manage custom LLMs on proprietary data, optimizing performance and ensuring safety, with flexible deployment options and high-throughput inference.
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Vellum

If you're looking for a different alternative to Lamini, Vellum is another top option. Vellum offers a full suite of tools to manage the life cycle of large language model (LLM) applications, including prompt engineering, semantic search, prompt chaining, evaluation and monitoring. It can be used for a variety of use cases, including workflow automation and chatbots, and is designed for enterprise-level security, privacy and scalability.

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ClearGPT

Another option is ClearGPT, which is geared for internal enterprise use. ClearGPT is designed to address security, performance, cost and data governance concerns, with features including role-based access, data governance and continuous fresh data for adaptive AI. It has zero data and IP leakage since it runs on a private network, so it's a good option for companies that want to deploy AI models internally.

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Humanloop

For those who want a collaborative environment to develop and optimize LLM applications, Humanloop offers a sandbox environment for developers, product managers and domain experts. It includes a collaborative prompt management system, an evaluation and monitoring suite and tools for customization and optimization. Humanloop supports popular LLM providers and integrates with Python and TypeScript, so it's a good option for teams.

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Prem

Last, Prem is an AI platform that lets companies use personalized LLMs with data sovereignty and independence from third-party providers. It offers a user-friendly development environment for prompt engineering, evaluation and deployment, with on-premise deployment options to keep sensitive data in-house. Prem lets companies customize and fine-tune for their specific business needs, and it's a modernized approach to AI operations.

More Alternatives to Lamini

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Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Dayzero

Hyper-personalized enterprise AI applications automate workflows, increase productivity, and speed time to market with custom Large Language Models and secure deployment.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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GradientJ

Automates complex back office tasks, such as medical billing and data onboarding, by training computers to process and integrate unstructured data from various sources.

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Zerve

Securely deploy and run GenAI and Large Language Models within your own architecture, with fine-grained GPU control and accelerated data science workflows.

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Dify

Build and run generative AI apps with a graphical interface, custom agents, and advanced tools for secure, efficient, and autonomous AI development.

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LangChain

Create and deploy context-aware, reasoning applications using company data and APIs, with tools for building, monitoring, and deploying LLM-based applications.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

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SuperAnnotate

Streamlines dataset creation, curation, and model evaluation, enabling users to build, fine-tune, and deploy high-performing AI models faster and more accurately.

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Openlayer

Build and deploy high-quality AI models with robust testing, evaluation, and observability tools, ensuring reliable performance and trustworthiness in production.

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Freeplay

Streamline large language model product development with a unified platform for experimentation, testing, monitoring, and optimization, accelerating development velocity and improving quality.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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Langbase

Accelerate AI development with a fast inference engine, deploying hyper-personalized models quickly and efficiently, ideal for streamlined and trusted applications.

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MonsterGPT

Fine-tune and deploy large language models with a chat interface, simplifying the process and reducing technical setup requirements for developers.

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HoneyHive

Collaborative LLMOps environment for testing, evaluating, and deploying GenAI applications, with features for observability, dataset management, and prompt optimization.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Langfuse

Debug, analyze, and experiment with large language models through tracing, prompt management, evaluation, analytics, and a playground for testing and optimization.

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Parea

Confidently deploy large language model applications to production with experiment tracking, observability, and human annotation tools.

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AnythingLLM

Unlock flexible AI-driven document processing and analysis with customizable LLM integration, ensuring 100% data privacy and control.