Question: I'm looking for a platform that allows me to experiment with multiple large language models without requiring extensive coding knowledge.

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Airtrain AI

If you want a platform to try out a variety of large language models without having to know how to code, Airtrain AI is worth a look. The no-code compute platform has an LLM Playground where you can try more than 27 open-source and proprietary models. It also has a Dataset Explorer for visualizing and curating data, AI Scoring for evaluating models, and several pricing plans to accommodate different needs.

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MindStudio

Another good option is MindStudio, a no-code AI application development platform. You can build your own custom AI tools and assistants without writing any code. You can mix and match models to create job-specific assistants, integrate with multiple data sources, and use a variety of pricing plans for flexibility and affordability.

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TeamAI

If you're looking for a collaborative environment, check out TeamAI. It's geared for teams and supports multiple LLMs like Gemini, GPT-4 and LLaMA. It has centralized AI workspaces, shared libraries of prompts, and the ability to create custom plugins to build your own AI assistants. You can automate processes and generate ideas without having to write any code.

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LLMStack

LLMStack is another open-source platform for building AI apps with pre-trained language models. It includes a no-code builder for connecting models to data and business processes, with support for a variety of data imports and multi-tenancy features. That makes it useful for building chatbots, AI assistants and automating workflows even if you don't know how to program.

Additional AI Projects

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Humanloop

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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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LM Studio

Run any Hugging Face-compatible model with a simple, powerful interface, leveraging your GPU for better performance, and discover new models offline.

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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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Cubeo AI

Create and train AI Agents without coding, automating repetitive tasks in various areas, with an intuitive interface for customization and integration.

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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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Prompt Studio

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

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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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PlugBear

Seamlessly integrate Large Language Models into workflow tools like Slack and Teams, automating mundane tasks and freeing teams to focus on high-leverage work.

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Kolank

Access multiple Large Language Models through a single API and browser interface, with smart routing and resilience for high-quality results and cost savings.

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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.

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LLM Explorer

Discover and compare 35,809 open-source language models by filtering parameters, benchmark scores, and memory usage, and explore categorized lists and model details.

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NuMind

Build custom machine learning models for text processing tasks like sentiment analysis and entity recognition without requiring programming skills.

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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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Meta Llama

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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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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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Metatext

Build and manage custom NLP models fine-tuned for your specific use case, automating workflows through text classification, tagging, and generation.