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Creating safe artificial general intelligence that benefits all of humanity. Our work to create safe and beneficial AI requires a deep understanding of the potential risks and benefits, as well as careful consideration of the impact.

It is a next-generation AI assistant. It is accessible through chat interface and API. It is capable of a wide variety of conversational and text-processing tasks while maintaining a high degree of reliability and predictability.

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 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 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 large multimodal model (accepting text inputs and emitting text outputs today, with image inputs coming in the future) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities.

It offers an API to add cutting-edge language processing to any system. Through training, users can create massive models customized to their use case and trained on their data.

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 small, yet powerful model adaptable to many use cases. It is better than Llama 2 13B on all benchmarks, has natural coding abilities, and 8k sequence length. We made it easy to deploy on any cloud.

It is an advanced language model comprising 67 billion parameters. It has been trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese.

It is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language. There are various sizes of the code model, ranging from 1B to 33B versions.

It is a text analyser in Python, can help make your text more clear, simple and useful for your readers. It provides information on an overall text as well as on individual paragraphs. It gives insights into readability, length of paragraphs, length of sentences, average sentences per paragraph, average words in a sentence, etc. It also tries to identify certain kind of vague words.

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 an open-source library for fast LLM inference and serving. It delivers up to 24x higher throughput than HuggingFace Transformers, without requiring any model architecture changes.

It is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. It is able to generate text in 46 natural languages and 13 programming languages.

It is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. It is built on top of Llama 2 and is available for free.

It is a set of models that improve on GPT-3 and can understand as well as generate natural language or code.

Try Grok 4 on GPT Proto. Access xAI’s most advanced 1.7T LLM with 130K context, multimodal support, and real-time data integration for dynamic analysis.

It is an open-source language model. It is trained with 1.5 trillion tokens of content. The richness of dataset gives StableLM surprisingly high performance in conversational and coding tasks.

It is a collection of open-source models for generating various types of media.

The most advanced, consistent, and effective AI humanizer on the market. Instantly transform AI-generated text into undetectable, human-like writing in one click.

It is a foundational large language model (LLM) with 40 billion parameters trained on one trillion tokens.

It is an open-source project that has released a 7 billion parameter base model, a chat model tailored for practical scenarios, and a training system.

It represents a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding, achieving impressive chat capabilities mimicking spirits of the multimodal GPT-4 and setting a new state-of-the-art accuracy on Science QA.

It is a state-of-the-art LLM for converting natural language questions to SQL queries. It has been fine-tuned on hand-crafted SQL queries in increasing orders of difficulty. It significantly outperforms all major open-source models and slightly outperforms gpt-3.5-turbo.

It is a next-generation large language model that excels at advanced reasoning tasks, including code and math, classification, question answering, translation, multilingual proficiency, and natural language generation.

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

Transform your ideas into professional content with 30+ AI-powered tools. Generate articles, business plans, code, social media posts, and more in seconds. Trusted by creators worldwide.

Free online JSON formatter, validator, and beautifier tool. Format, validate, minify JSON data instantly. 100% secure, no installation required. Best JSON editor for developers with tree viewer and schema generator.

Your AI-based shortcut to Instant research paper perfection The world’s #1 essay & research paper writer Start writing — it's free Blainy is the go-to research assistant for academic research and writing. Write better, faster, and with confidence Blainy offers instant research support, helping you create high-quality papers effortlessly. Learn More About This Feature Search

PlagiarismRemover.AI is a free AI plagiarism remover SaaS platform which rewrites text into original, human-like content while preserving meaning and formatting. It helps content pass plagiarism and AI detection without sounding rewritten.

The best free TXT to SRT converter. Instantly convert plain text or timecoded scripts to standard SRT subtitle files online. No signup, privacy-focused.

Free to transcribe, translate, and summarize audio/video with ScreenApp AI. Get instant highlighted notes and save time with accurate AI tools.

Dechecker's AI Checker and AI Detector tool checks whether text is generated by AI models, such as ChatGPT, GPT-5, Claude, Gemini, LLaMa, etc.

Build n8n workflows with AI and deploy in 30 seconds. Free hosting, workflow analyzer, and 100+ LLM models included.

NoteGPT is an AI-powered note-taking app that turns any lecture, meeting, or voice memo into clear, structured notes in seconds. It records and transcribes audio, then automatically creates concise summaries, flashcards, and study guides so you can revise faster and remember more. Built for students and busy professionals, NoteGPT keeps all your notes organised and easy to review whenever you need them.

VibeMusicing is an AI music tool that creates original songs, lyrics, and beats instantly—fast, customizable, and royalty-free for all types of creators.

It is an open-source, uncensored, and commercially licensed dataset and series of instruct-tuned language models based on Microsoft's Orca paper.

It aims to make large models accessible to everyone by co-development of open models, datasets, systems, and evaluation tools.

It is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models.

It is a 1.2B parameter base model trained on 100K hours of speech for TTS (text-to-speech). It empowers developers and businesses to better connect with their audiences at scale.

It is an open-source code completion engine that utilizes a large language model. It runs directly on your CPU, providing a self-hosted copilot experience.

It is an open-source self-aligned language model trained with minimal human supervision.

It is a project to create leading, fully open-source large language models.

It is an open-source financial large language model designed based on the GPT-4 architecture. It has started to spark interest in the global financial landscape, owing to its unique and innovative capabilities.

It is an LLM that is trained on NASA’s satellite data. It is a foundation model that can be used for various downstream applications, such as classification, object detection, time-series segmentation, and similarity search.

It is a large language model capable of handling long contexts of 256k tokens or even more. It is built upon the foundation of OpenLLaMA and fine-tuned using the Focused Transformer (FoT) method.

It aims to pre-train a 1.1 billion parameter language model on 3 trillion tokens of text data. It is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.

It is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B.

It is an instruction-following large language model trained on the Databricks machine learning platform. It is cheap to build and exhibits a surprising degree of instruction following capabilities exhibited by ChatGPT.