Guide Generative AI with Cohere: Part 1 In this multi-part guide, we will go through everything that you need to know about generative AI with Cohere’s large language models (LLMs). In Part 1, we talk about model prompting.
Augmenting Personal Knowledge Management with Language AI We’ll explore how developers can build the next generation of digital note-taking tools, powered by language AI.
Guide Three Ways to Build a Text Classifier with the Cohere API With LLMs, you can build a text classifier quickly with just a handful of examples. But you probably want more options and greater control over speed and customizability. This article will help you decide the best option for your task.
Build Deploy a Language AI App Easily with Cohere and Streamlit So you have an idea for a language AI app using Cohere. But how do you deploy it and share it with the world? You can do that with Streamlit. In this article, we’ll look at how we can quickly prototype a Startup Idea Generator web app.
Build Hello, World! Meet Language AI: Part 2 This article is the Hello, World! of language AI — a hands-on tour of what’s possible, written for developers with little or no background in Artificial Intelligence (AI). In fact, we’ll do that by exploring the Hello, World! phrase itself. This is part two of a two-part series.
Guide Hello, World! Meet Language AI: Part 1 This article is the Hello, World! of language AI — a hands-on tour of what’s possible, written for developers with little or no background in Artificial Intelligence (AI). In fact, we’ll do that by exploring the Hello, World! phrase itself. This is part one of a two-part series.
NLP Large Language Models and Where to Use Them: Part 2 Over the past few years, large language models (LLMs) have evolved from emerging to mainstream technology. In this blog post, we'll explore some of the most common natural language processing (NLP) use cases that they can address. This is part two of a two-part series.
NLP Large Language Models and Where to Use Them: Part 1 Over the past few years, large language models (LLMs) have evolved from emerging to mainstream technology. In this blog post, we'll explore some of the most common natural language processing (NLP) use cases that they can address. This is part one of a two-part series.
NLP Text Embeddings Visually Explained We take a visual approach to gain an intuition behind text embeddings, what use cases they are good for, and how they can be customized using finetuning.
Guide Article Recommender with Text Embedding, Classification, and Extraction A simple demonstration of how we can stack multiple NLP models together to get an output as close as possible to our desired outcome.
NLP Classification Evaluation Metrics: Accuracy, Precision, Recall, and F1 Visually Explained How do you evaluate the performance of a Classifier? These are the four most commonly used classification evaluation metrics.
Content Moderation Content Moderation with Classify The internet is dominated by user-generated content. While it provides an avenue for online platforms to grow, it is a bane for content moderators managing them. It is impossible for humans to manually moderate all the user content that is created. There must be a more scalable way.
