Cohere Team

TL;DR In this talk, Dr. Rachael Tatman introduced us to Cohere LLMs and walked us through the reasons behind using them for data augmentation. She explained several strategies and the problems that we may face while augmenting our models. She also offered advice and recommendations for performing data augmentation

TL;DR: This NLP Jumpstart Series outlines how startups can use natural language processing (NLP) to build a competitive moat. This article’s title and TL;DR have been generated with Cohere. Get started with text generation [https://os.cohere.ai/playground/xlarge/generate] Startups need all the advantages they

Hackathons are a great place to get hands-on with new tools and technologies. At Cohere, we encourage developers to learn more about natural language processing (NLP), explore its potential, and get to know the Cohere Platform. That’s why we’re partnering with lablab.ai [https://lablab.ai/] to host

TL;DR: * This tutorial teaches you how to use large language models (LLMs) to generate product descriptions for ads quickly and at scale. This article's title and TL;DR have been generated with Cohere. Get started with text generation [https://os.cohere.ai/playground/xlarge/generate]. Marketing and advertising are

Explore, test, and experiment with LLMs via open-source: Cohere Sandbox is now available! We invite developers excited about large language models to use our new Sandbox to build and deploy advanced natural language processing (NLP) projects, fast. Recent advances in large language models (LLMs) have fueled state-of-the-art performance for NLP

TL;DR: * Use LLMs to summarize user reviews and analyze their overall sentiment. This article's title and TL;DR have been generated with Cohere. Get started with text generation [https://os.cohere.ai/playground/xlarge/generate]. Natural language processing (NLP) is invaluable, whether you're moderating member-posted content, quickly summarizing news

TL;DR: - Use an invoice scanning application to scan invoices and extract data for use in their accounting processes. - Use your company’s own dataset to train and use a pre-trained model to extract data from invoices. This article’s title and TL;DR have been generated with

Today, we’re thrilled to announce an entirely reimagined platform pricing structure designed to provide more flexibility, control, and value to every developer and business building on the Cohere Platform. Our new pricing opens up the platform to allow you greater access and a simpler experience when choosing the right

We are thrilled to announce the first event in the  “Talking Language AI,” series hosted by Cohere Engineering Fellow Jay Alammar. Jay will be hosting a series of talks, panels, and discussions focused on applied natural language processing topics and tools. For our first talk, we are honored to invite

Monitoring product feedback on social media is challenging—even for businesses with a smaller product portfolio or market share. There can be countless messages sent at all hours of the day, with lots of text to review, and little time to analyze and sort them manually. In this project tutorial,

The petabytes of data held by global online communities, such as Twitter, make them valuable sources during data collection. You can use the data to study your target audience to gain insight into what people are tweeting about — as well as the sentiment of those tweets. Twitter records over 500

Forums like Reddit contain vast amounts of text. In this demo, we should you how to summarize that automatically and get valuable insights.

Aidan was featured on stage at the Elevate Festival in Toronto, joined by essayist Stephen Marche to discuss large language models and what’s next for the emerging technology.

By combining Next.js with Cohere, you can rapidly build AI apps that perform a variety of NLP and Language tasks. In this demo, we show you how.

FastAPI provides an easy way to create APIs. By combining this with Cohere's LLMs, we can build custom API endpoints to access state-of-the-art NLP

If you work in AI, it's important to keep up to date with the latest research. In this post, we look at some of the top papers on text classification over the years.

Adding language AI to your product? Let's explore whether it makes more sense to build it in-house or use a pre-trained LLM.

AWS developers — we have some exciting news! Cohere is now available through AWS Marketplace [https://aws.amazon.com/marketplace/pp/prodview-rd5biwtarpd2y], making it even more accessible to developers and businesses of all kinds. Being a part of Amazon’s online store makes it easy for you to discover and explore

Topic modeling is a great way to find clusters and trends in large volumes of text data. In this demo, we apply it to AI Papers and uncover 5 broad trends.