Daniel Le

Oct 1, 2024 | nogood.io | Daniel Le

There’s no question that Artificial Intelligence is all around us. So how can you keep up as a creative? For us here at NoGood, the use of AI is making us change the way we think, collaborate, and design. Let’s take a look at how we’ve used certain tools, methods, and tips that are leading the industry today and how you can use them to your advantage. Nowadays, you can find any type of AI tool to help you with just about anything.

Sep 18, 2024 | arxiv.org | Daniel Le

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Jul 16, 2024 | towardsdatascience.com | Daniel Le

🔹 The implementation of this framework focuses on the high-level concept without delving too deeply into the details. No LLM evaluation libraries or platforms (e.g., LangChain, LangSmith, LangFuse, etc.) were used. The code implementation has low abstraction, allowing readers to easily follow the workflow without getting lost in the intricate details of the setup.

Jun 30, 2024 | towardsdatascience.com | Daniel Le

This article explains both the conceptual framework and practical code implementation for syncing data from API endpoints to your database using dlt (a Python library). At the end of this tutorial, you will understand (and know how to implement) the sync behavior in the following illustration where we extract data incrementally and write to the destination table with the merge (dedup) strategy. You want to sync data from an application (e.g., ads performance, sales figures, etc.) to your database.

Jun 30, 2024 | towardsdatascience.com | Daniel Le

Now let's say you already extracted a bunch of records by making API requests with the above-mentioned params, it's time for you to decide how you want to write them to the destination table. 👉 Answer: Merge/Dedup mode (recommended)This question concerns the choice of Write disposition or Sync mode.