Cohere is a company that specializes in artificial intelligence. Their mission is to help businesses harness the power of AI to improve their operations. Cohere offers a suite of AI-powered tools that can be used to automate tasks, improve customer service, and boost sales. Their products are designed to be easy to use and integrate with existing business systems. The Cohere natural language processing platform makes it easier for developers to build natural language processing models into applications and helps companies infuse natural language processing capabilities into their business using tools like chatbots, without requiring AI expertise of their own. Useful links: Cohere website, Co:here platform, Co:here Docs
Discover Co:here API SDK's to help you get started
This package provides functionality developed to simplify interfacing with the cohere.ai natural language API in Go.GoCohere Python
This package provides functionality developed to simplify interfacing with the Cohere API in Python 3.PythonCohere Ruby
This package provides functionality developed to simplify interfacing with the cohere.ai NLP API in Ruby.Ruby
Boilerplates to help you get started
Hashtag generator Boilerplate for Co:here, Streamlit, Streamlit Cloud.PythonReplit Boilerplate
Generate an email on command with Co:here and Replit.Python
Sandbox is a collection of experimental, open-source GitHub repositories that make building applications using large language models fast and easy with Cohere
Sandbox aims to help build and strengthen language AI communities while enabling contributors to build more robust applications and services faster than ever.Sandbox Conversant - Github repository
Conversational AI tooling & personas built on Cohere's LLMsPythonSandbox Conversant - PyPi repository
Conversational AI tooling & personas built on Cohere's LLMsPythonSandbox Conversant Streamlit Demo
Conversational Personas using Cohere and StreamlitPython
Language models give computers the ability to search by meaning and go beyond searching by matching keywords. This capability is called semantic search.
Article for building a simple semantic search engine.Collab Notebook - Basic Semantic Search
In this notebook, we'll build a simple semantic search enginePythonSemantic Search with Cohere Sandbox
A demonstration of how a semantic search engine can be quickly built using Cohere's platform.Python
Explore the coding tutorials and how-to guides available on our website to help you get started and learn to build with Cohere artificial intelligence technology
In this tutorial you will find out how to combine the power of Cohere AI and FastAPI for creating a dog's breed recognition API.
In this tutorial we will show you how to use Cohere AI to extract entities from text.
In this tutorial we will show you how to use Cohere to moderate content in your app
This tutorial is describing how you can build a text classifier with Cohere
In this tutorial you will build your own product description generator API with cohere.
Find out how to create AI powered Chrome extension for you medium.com posts!
Solutions built with Cohere that have been created during our hackathons by the members of our community
Smarty quiets the noise around you so you can work peacefully to get things done. It is a personalized task planner that evaluates the importance and urgency of your tasks, then prioritizes and batches them rigorously so you can focus on accomplishing what matters the most.
Prompt Tune Generation is a prototype model which has ability to generate music using Cohere prompt by understanding the user input. Using Prompt Tune user can play with different set of Genre as input prompt to the model which will generate music notes followed by a short music clip tuned using custom virtual Keyboard which has single octave. This is one step closer diffusion based model where Generative AI plays a vital role in generating contents on its own.
Zo:diac is an interactive web app that provides unique, personalized horoscopes on-demand to users. It prompts the user for their information, including their birth date, and then returns a horoscope specific to their astrological information. It then allows the user to specify a topic, which zo:diac will then return additional horoscope content for. This process can be repeated, allowing the user to delve deeper into their astrology by generating new content. Both the initial horoscope reading and followup topic-based horoscopes are created using co:here’s generate endpoint, by modifying the input prefix to get the appropriate output. The application is created using react, and hosted by cloudflare. It can be accessed either on a desktop or mobile browser. The app is available at: https://zodiac.tarinyoom.io/
vidSummarizer helps you to analyze sentiment & summarize of your audio & video files into simple text within few seconds. It also increase accessibility for users who are deaf.
This application can convert any given text into a visualization. We use LLMs to convert the text into a structured format, and then we use existing visualization libraries to generate infographics from the structured data. Right now in the demo we have built this end to end workflow for Graphs and Timelines but potentially this same tech can be used to power any infographic generation from raw text.
storytime.ai is a innovative, creative application of stable diffusion model (dreamstudio.ai) paired with transformer model(cohere.ai). We leverage powerful features of those models in attempt to solve vital problem: storytelling. It's important to recognize crucial drive of humans to create stories. Now, with help of artificial intelligence our stories could get even more creative and picturesque. Think of all the possible aplications of on-demand stories generator. Batteries (and stylish ilustrations) included! Our solution allows parents to tell brand-new fairy tales to their children. Writters, marketing specialists, basically any proffesion or bussines that deals with creating stories would also benefit from storytime.ai
Baskful is a tool to ease mass asset liquidation. The tool is meant to document items that are to be sold on sites such as Amazon and Ebay. Target users include estate sales, moving companies, and company closings. AI is used to generate copy for the products.
"Virtual AI Patient" is a new way dedicated to medical students in order to help them practice on their virtual patient so that they can act more professional and much faster when they face a similar cases in the reality.
We first tried to push the dataset to the API and train the model through Python script but couldn't find any documentations on that. So trained on web platform and also provided dataset as prompts.
I-Rene Provides CBT for the lovely user using Cohere Conversant AI tool. The NFT is minted for free by the lovely user to track the CBT sessions and be proud of their healing process. It is a free, open-source, specific & effective mental health therapy needed by everyone, anywhere at anytime. The mental health AI chatbot will be developed as a standalone application that users can download and install on their mobile devices or access through a web-based platform. The chatbot will collect and use user feedback to improve its performance and effectiveness. This will involve monitoring user interactions and responses, and using machine learning algorithms to continuously adapt and improve the chatbot's responses and support. The mental health AI chatbot will use sentiment analysis to understand the emotional state of users and react accordingly. For example, if a user is feeling sad or anxious, the chatbot can provide appropriate support and resources to help the user manage their emotions and feelings. The mental health AI chatbot will use entity extraction to provide context-dependent answers and support, rather than just generic responses. This will involve analyzing the user's messages and extracting relevant entities and information, such as the user's goals, concerns, and challenges. The chatbot can then use this information to provide personalized and tailored support. The mental health AI chatbot will be integrated with a decentralized autonomous organization (DAO) and the Metaverse, which is a virtual shared space for communities and organizations. This will enable the chatbot to access and use decentralized resources and data to provide more accurate, relevant, and engaging support to users.
Join one of our AI hackathons to build modern artificial intelligence together with talented members of our lablab community
Greetings and welcome to the AI21 Labs Hackathon! Our collaboration with A21 Labs gives Lablab.ai community members access to state of the art language models that can process any language comprehension or generation task. Join us in building scalable & efficient applications! Be a part of the innovation!
🗓️ This will be a 7-day virtual hackathon from 16-23 December 💻 Build AI application with the latest large language model-powered technology by Cohere 💡 Get the chance to work with the best AI professionals in the industry and learn from them ✔️Entry level = 0. You’ve just started with AI? Are you an experienced Data Scientist? Or maybe you are a Designer or Business Developer? Join us! We need your domain knowledge! 🐱💻 Register now and let's get started! It’s free!
🗓️ This will be a 7-days of hacking and fun from 9-16 December 💻 Build with the latest AI tools from OpenAI to create innovative new apps 💡 Work with top AI professionals and learn from them ⚒️ Create your AI app by combining GPT-3, Codex, Dalle-2, and Whisper 🐱💻 Register now and let's get started!