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That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology | Use e4tools’ free online paraphrasing tool to quickly rewrite sentences, paragraphs, and articles with AI for clarity, readability, and originality. |
Notion-style editor, Mobile-friendly design, Multiple text variants, AI-generated content transformation, Human-like text output, Freemium pricing model, Priority support (Pro plan), Custom AI models (Pro plan). | AI-powered text rewriting, Free online paraphrasing, Improve readability, Avoid plagiarism, Rewrite paragraphs & sentences, Fast and accurate results |
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It is a fast, open source text processor and publishing toolchain for converting AsciiDoc content to HTML5, DocBook, PDF, and other formats. Asciidoctor is written in Ruby and runs on all major operating systems

It is the base model weights and network architecture of Grok-1, the large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI.

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It is Google’s largest and most capable AI model. It is built to be multimodal, it can generalize, understand, operate across, and combine different types of info — like text, images, audio, video, and code.

It allows you to run open-source large language models, such as Llama 2, locally.

It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.