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The best alternatives to 2000 Large Language Models (LLM) Prompts are Giskard, Sibyl AI, and Arbor. If these 3 options don't work for you, we've listed over 10 alternatives below.
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AssemblyAI — Speech-to-Text API with superhuman accuracy
PromotedBest alternatives to 2000 Large Language Models (LLM) Prompts
- Fast LLM & ML testing at scale 🛡️ Detect hallucinations & biases automatically 🔍 Enterprise Testing Hub ☁️ Self-hosted / cloud 🤝 Integrated with 🤗, MLFlow, W&B From tabular models to LLMs, Giskard handles everything! https://github.com/Giskard-AI/giskard
- The world's first spiritual AI for Neophytes, Adepts, and Holistic Practitioners trained on volumes of rare metaphysical knowledge and experience. Freemium Plan, AI-to-AI Conversations, Chat Visualization, Speech Enabled, Multilingual support in 99 Languages.
- Arbor is a platform that provides aggregated summaries by clustering, deduplicating, and summarizing content, sentence by sentence, from various sources on the same topic. Arbor's mission is to reindex the internet and save it from AI-generated SEO articles.
- Dify.AI is an open-source platform for LLMOpsIt offers visual management of prompts, operations, and datasets. Create an AI app in minutes or integrate LLM into your app for continuous improvement.
- Run Llama 2 and other models on macOS, with Windows and Linux coming soon. Customize and create your own.
- This is the base model weights and network architecture of Grok-1, xAI's large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI.
- A new type of multimodal large language model (MLLM) from Apple that excels in both image understanding and language processing, particularly demonstrating significant advantages in understanding spatial references.
- Superpowered AI is an end-to-end knowledge retrieval solution that makes it easy to build production-ready LLM applications with access to external knowledge.
- mypapers.ai is simple tool for visualizing daily LLM-related papers and their references.
- AiPrice allows anyone using any HTTP client to calculate how much a prompt to the OpenAI API will cost and how many tokens are included. All models and types are supported and pricing is up to date.
- Ludwig, open-sourced at Uber, makes it easy for any developer to build state-of-the-art ML models with its declarative interface. Ludwig v0.8 is the first low-code open-source framework optimized for efficiently building custom LLMs with your private data.
- Metaphor is the only tool you need to connect your LLM to the internet. Using our fully neural search and instantly getting back clean parsed HTML is as easy as `resp = metaphor.search("").get_contents(). Free 1000 requests/month!
- With Boogie, you can build NLP applications in minutes using automated workflows. Experiment with LLM prompts, upload proprietary data, regression test in production, tune your application and more.
- Mold/Train multiple LLMs to automate ANYTHING you want and export as API, TelegramBot, or WhatsApp. Our LLM infrastructure is embedded with most of the web data in real time. Context and sources are not limited by context length.
- Prompt Playground lets you test 2 LLM prompts, models, or configs side-by-side against many inputs, in real time. This makes testing prompts and models super fast, and comes with a generous free allowance. Built by Context.ai
- Generate high-quality episodic content for IP's (Intellectual Property) using large language models (LLMs), custom state-of-the art diffusion models and our multi-agent simulation for contextualization, story progression and behavioral control.
- Similar to traditional code notebooks like Jupyter Notebooks, but with a seamless integration with large-language models. Code when you want, skip when you don't. Export notebooks for portability.
