Gemini Notebook only generates content based on your sources and will not hallucinate or provide false or unrelated information. I cannot overemphasize the importance of this platform while following through with this certification learning path, as it allows you to ask questions with answers sourced directly from your materials, test yourself with quizzes, and generate a study guide to help you succeed and feel... - Source: dev.to / 9 days ago

You just need a few summaries occasionally. Standing up Ollama, a model, and an extraction pipeline to summarize five PDFs is overkill. If privacy isn't the constraint, a free web tool does it in seconds — ChatPDF and NotebookLM if you don't mind an account, or PDFSummarizer.net if you want no sign-up and formats like EPUB/PPTX handled for you. One caveat that matters specifically because this article is about... - Source: dev.to / about 2 months ago

Last year I was heavily into Perplexity but for most of 2026 I've actually been using NotebookLM a lot more. Perplexity is still useful for just daily news, but when I want to research, when I want to summarise, when I want to learn... NotebookLM all the way. - Source: dev.to / 3 months ago

NotebookLM already sorted this on Google's side. You upload your sources, Gemini answers only from those sources, every answer comes with citations pointing to the exact passage. The catch was it's browser-only. No API. No way to wire it into your agent workflow. - Source: dev.to / 4 months ago

In Notebook LLM, add the information sources you use for studying and use different formats. It currently supports Latin American Spanish. - Source: dev.to / 5 months ago

You're building an app that generates images, transcribes audio, or synthesizes speech. Two API platforms keep showing up in your research: Replicate and deAPI. They run many of the same open-source models and charge per use. - Source: dev.to / 3 months ago

Replicate: Provides APIs for integrating diverse hosted models into shared pipelines. - Source: dev.to / 3 months ago

Running AI models in production typically requires managing complex infrastructure, GPUs, and scaling challenges. Replicate simplifies this by providing a cloud API to run thousands of AI models without managing any infrastructure. - Source: dev.to / 9 months ago

Before diving into how vision prompting works, let’s first look at where we can put it to the test. In this case, we’ll be using several endpoints available on Replicate, which we’ve optimized with Pruna to make them cheaper, faster, and more efficient. All of Pruna’s models are available here. - Source: dev.to / 10 months ago

Take Perplexity they didn’t just call the OpenAI API; they built a full-stack retrieval engine with caching, ranking, and live search inference. Or Replicate, which gives developers an API to run open-source models at scale, no data center required. RunPod makes GPU clusters accessible for indie builders, and Mistral is shipping models that make even GPT-4 blink twice. - Source: dev.to / 10 months ago