Generative AI AI is Eating The World Part 2 of “Generative AI is … Not Enough?” Over a decade ago, the phrase “software is eating the world” described how software was rapidly becoming the center of many industries beyond the technology sector. The leading book retailers, video services providers, music companies, entertainment companies, and even movie production companies
Generative AI Generative AI with Cohere: Part 5 - Chaining Prompts We conclude this series by exploring practical implementations in text generation. In particular, we’ll look at prompt chaining.
Generative AI What's the big deal with Generative AI? Is it the future or the present? Part 1 of "Generative AI is.. Not Enough?" It is almost impossible to ignore the astounding progress in artificial intelligence these days. From the new generation of generative chatbots, to the models that can generate (almost) any picture (or very soon, video), the pace of development in the AI field
Talk EMNLP 2022 Conference Recap - Talking Language AI Ep#4 Empirical Methods in Natural Language Processing (EMNLP) is one of the leading annual research conferences for language processing, and it’s also a great place to see some cutting-edge developments in AI. This past December, I attended EMNLP 2022 and brought my camera with me. I wanted to record my
Talk Sentence Transformers and Embedding Evaluation - Talking Language AI Ep#3 Dive into the world of Sentence Transformers with Nils Reimers, creator of Sentence-BERT and expert in NLP. Join the conversation as he shares his experience in developing this popular tool and his insights on evaluating embeddings through works like MTEB & BEIR.
Talk Tools to Improve Training Data - Talking Language AI Ep#2 In the second episode in our series on applied NLP, I sat down with Vincent Warmerdam [https://twitter.com/fishnets88], a machine learning engineer at Explosion, the company behind spaCY and Prodigy for data labeling. Vincent builds a lot of NLP tools [https://github.com/koaning], many of which target
Talk Topic Modeling with BERTopic - Talking Language AI Ep#1 In the first episode of the Talking Language AI series, I spoke with Maarten Grootendorst, author and maintainer of the BERTopic open source package (over 3,000 stars on Github). BERTopic is used to explore collections of text to spot trends and identify the topics in these texts. This is
Build Building a Search-Based Discord Bot with Language Models In the #grounded-qa-bot channel in the Cohere co:mmunity on Discord [https://discord.gg/co-mmunity], there’s a bot that will answer your questions. Ask any question in the chat, add the question mark emoji, and the co_search bot will attempt to answer the question. This answer, however, is
Running Large Language Models in Production: A look at The Inference Framework (TIF) Language models keep growing in size. This is driven by the fact that model quality scales extremely well alongside model size. As a result, delivering these models to end users is becoming increasingly challenging. It’s a constant question of how to make serving these models faster and more cost-effective.
Article Text Classification Intuition for Software Developers Large language models are used to solve all kinds of language tasks. Text classification is one of the leading tasks these models are often deployed to solve. Let's look at two examples: Customer service and content moderation.
Build Combing For Insight in 10,000 Hacker News Posts With Text Clustering Hacker News is one of the leading online communities to discuss software and startup topics. I’ve frequented the site for over ten years and constantly admire the quality of its signal vs. noise ratio. It houses a wealth of knowledge and insightful discussions accumulated over the years. That invaluable
