I came across a fascinating video from Andrew Ng discussing the future of AI with a focus on agentic workflows. Unlike the current non-agentic workflows where we spoon-feed instructions to AI models, agentic workflows allow these models to act more independently, tackling tasks on their own. A great analogy mentioned by Andrew Ng is that non-agentic workflows operate as if you are writting an essay without the option to use backspace (which works remarkably well for LLMs), but what works even better is if you give them the option to contemplate on their results and provide updates (agentic workflows). The...
Category: Coding
31 Posts
AirbyteServerless is a straightforward tool designed to manage Airbyte connectors. It offers the flexibility to run these connectors either locally or in serverless mode. If you’re dealing with data pipelines, ETL, data warehousing, or data engineering, AirbyteServerless is a must-have in your tech stack. It simplifies the process of moving data from various sources to your data warehouse. The repository is available on GitHub here. You can use it to load data to your datawarehouse from almost any data source out there. And you don’t need a DB, a UI or an Airbyte server. Plus, serverless compute deployment is supported meaning it can work on Github...
In a recent YouTube tutorial, Andrej Karpathy—the wizard behind Tesla’s Autopilot and OpenAI’s GPT—unveiled the secrets of tokenization. Buckle up, tech-savvy professionals, because this isn’t your run-of-the-mill theoretical lecture. It’s a hands-on journey into the heart of language models. So, what’s the deal with tokenization? Imagine it as the backstage choreographer for Large Language Models (LLMs). It translates between human-readable strings and the cryptic tokens that LLMs munch on. In this tutorial, we’re not just peeking behind the curtain; we’re building our own tokenizer from scratch. Here’s the lowdown: So grab your code editor, channel your inner Karpathy, and let’s build...
Following up on the list of 2023's most exciting projects, here is the list of the most useful, innovative and exciting LLM-powered projects I found in 2024.
Believe it or not NVIDIA is making Pandas 150x faster without source code changes. What you need to do? Their RAPIDS library will automatically know if you’re running on GPU or CPU and speed up your processing. You can try it here: https://colab.research.google.com/drive/12tCzP94zFG2BRduACucn5Q_OcX1TUKY3 Github Repo (7K stars): https://github.com/rapidsai/cudf UPDATE: It is now integrated directly in Google Colab! 🤩 Sign up to receive updates about new posts!
The world of artificial intelligence is rapidly evolving, and 2023 has seen some of the most innovative and groundbreaking developments in AI technology. This article takes a closer look at the most exciting AI projects and libraries that are shaping the future of technology.
A curated a list of NPM packages that I find myself using on almost every project I am working on.
If you’re tired of grappling with Google Tag Manager (GTM) and longing for expert advice to make your work more efficient, you’re in the right place. In this article, we’re unleashing ChatGPT’s top five tips to supercharge your GTM workflow. You won’t want to miss these game-changing hacks, from automating repetitive tasks to getting insights that will make your analytics sing. Rewrite incompatible source code GTM only supports source code compatible with ES5. For instance, you cannot register variables using const or let. But if you have an ES6 source code snippet you want to use in GTM just ask...
Buckle up, fellow tech-savvy adventurers, because the age of Artificial Intelligence is turning us all into creative wizards! Picture this: with just a few taps on your keyboard, ChatGPT whips up a shiny new website, while the Code Interpreter crunches numbers like a pro. And let’s not forget Roblox, the ultimate playground for budding game-makers! What’s the magical twist, you ask? Well, it’s all about the unique flavors of creativity bubbling within us tech-heads. The real deal isn’t just the tools we wield; it’s the enchanting experiences we choose to conjure! So, here’s the spellbinding takeaway: In this era of...
Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows. It allows you to create complex data pipelines that can be executed on a schedule, triggered by an event, or manually. When self-hosting Airflow, it is crucial to keep track of what’s happening in your workflows to ensure everything is running smoothly. Without proper monitoring and alerting, it’s easy to miss critical issues that could cause your workflows to fail or produce incorrect results. These issues could be anything from a misconfigured task to a problem with your infrastructure or dependencies. By setting up alerts, you can...
