Question: Is there a platform that provides a no-code environment for querying, comparing, and fine-tuning large language models, and also offers community support and tutorials?

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Airtrain AI

If you're looking for a no-code environment for querying, comparing and fine-tuning large language models, Airtrain AI is a great choice. The service has an LLM Playground where you can experiment with more than 27 open-source and proprietary models, a Dataset Explorer for visualizing and curating data, and a lot of fine-tuning options. It also has AI Scoring for assessing models and a strong Community Support system with Slack and YouTube channels. Pricing options include a free Starter plan, a Pro plan at $200/month and an Enterprise plan with custom pricing.

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PROMPTMETHEUS

Another powerful option is PROMPTMETHEUS, which lets you write, test, optimize and deploy one-shot prompts for more than 80 large language models from multiple sources. It includes a prompt toolbox, performance testing and deployment to custom endpoints. The service also integrates with services like Notion, Zapier and Airtable so you can easily fit your AI models into your existing workflow. Pricing options include a free Playground plan and a PRO plan at $99/user/month, making PROMPTMETHEUS a good option for AI model management.

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Humanloop

If you need a collaborative environment for optimizing AI applications, Humanloop offers a shared playground for developers, product managers and domain experts. It includes a collaborative prompt management system, evaluation and monitoring tools and options for plugging in private data and fine-tuning models. Humanloop supports several LLM providers and offers SDKs in Python and TypeScript for easy integration. It's geared for product teams and developers who want to increase efficiency and collaboration.

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Langtail

Langtail also offers a no-code playground for building AI-powered apps with tools for debugging, testing and deploying LLM prompts. It includes features like fine-tuning prompts with variables, running tests to avoid app behavior issues and monitoring performance with rich metrics. Langtail's adjustable parameters, test suites and detailed logging enable teams to develop reliable and effective AI products. The service is available in a free tier for small businesses and solopreneurs, a Pro tier at $99/month, and an Enterprise tier with custom pricing.

Additional AI Projects

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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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Prompt Studio

Collaborative workspace for prompt engineering, combining AI behaviors, customizable templates, and testing to streamline LLM-based feature development.

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MindStudio

Create custom AI applications and automations without coding, combining models from various sources to boost productivity and efficiency.

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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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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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HoneyHive

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

Build sophisticated AI applications by chaining multiple large language models, importing diverse data types, and leveraging no-code development.

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Vellum

Manage the full lifecycle of LLM-powered apps, from selecting prompts and models to deploying and iterating on them in production, with a suite of integrated tools.

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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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TeamAI

Collaborative AI workspaces unite teams with shared prompts, folders, and chat histories, streamlining workflows and amplifying productivity.

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Prem

Accelerate personalized Large Language Model deployment with a developer-friendly environment, fine-tuning, and on-premise control, ensuring data sovereignty and customization.

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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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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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GPTBots

Build and train AI bots without coding, leveraging a unified enterprise knowledge base and multimodal dialogue support for enhanced business applications.

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Deepchecks

Automates LLM app evaluation, identifying issues like hallucinations and bias, and provides in-depth monitoring and debugging to ensure high-quality applications.

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Lamini

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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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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Promptitude

Manage and refine GPT prompts in one place, ensuring personalized, high-quality results that meet your business needs while maintaining security and control.

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AirOps

Create sophisticated LLM workflows combining custom data with 40+ AI models, scalable to thousands of jobs, with integrations and human oversight.