The role of technical writers in the age of RAG and agentic LLM solutionsGood news: They’re gonna need us more than ever, fellow writers!1d ago1d ago
Trying to fully automate evaluation of deployed RAG solutions is riskyYou need humans in the lead to monitor and evaluate your production RAG solutions, with AI helping to streamline some of the work.Jan 1Jan 1
Using lotteries to mitigate bias in hiring and promotionsTo reduce the negative effects of bias, we must rethink the fundamentals of our processes.Dec 26, 2024Dec 26, 2024
Is your data RAG ready?To get value from productivity-enhancing or customer-support RAG solutions, you’ll need to update your data management practices.Dec 19, 2024Dec 19, 2024
Natural language interfaces powered by large language modelsRAG is good for so much more than question answering!Dec 14, 2024Dec 14, 2024
I accidentally bought an AI-generated bookLet’s learn from this book’s quirks and mistakes.Sep 4, 2024Sep 4, 2024
How publishers need to adapt in the era of RAGInstead of resenting that people are scraping your content, embrace them as customers.Aug 31, 2024Aug 31, 2024
Your team needs AI ContentOpsWhen incorporating AI into content development, AI is the easy part. The challenge is getting surrounding processes and tools right.Mar 13, 20241Mar 13, 20241
What many get wrong about using LLMs in content developmentI’m talking specifically about using large language models (LLMs) to create support content like product documentation.Mar 12, 2024Mar 12, 2024
