It’s Daniel here, the author of the 📘 LangChain for JavaScript Developers book and the guy who maintains the js-craft.io website.
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In this edition of the newsletter:
🎙 A new podcast episode is out! I had the pleasure of interviewing Ishan Anand about how he implemented GPT2 in Excel, learning AI while having a full-time job, and much more.
👨🏫 Speaking about Ishan, I've joined his How AI & LLMs Work course on Maven. The course is great, and love all the tech details. LLMs are not simple things but are not magical either. A great resource to expand your AI literacy.
💸 Discovered this tweet and Dmytro is 100% right! I've been a software dev for 20-ish years. In the past 2 years, I've witnessed firsthand the most brutal period for tech workers. Everything changes! Everything! Survival, resilience, and adaptation are the real generational wealth we can give to our children.
📘 Just dropped a 20% sale on the LangChain for JavaScript Developers book. If you’re ready to build powerful AI apps without the overwhelm, this is the blueprint you need. Less theory, more action. Grab your copy and start creating!
🎓 Mental model to follow when moving from traditional software dev to Machine Learning. In traditional dev, we write code to define rules, pass in data, and get the output. In ML, we pass in input data + expected output, and the rules are deduced and stored in the weights of the models. A good visual representation here.
⏱ I've tracked that each podcast episode I make is costing me approx 15-17 hours from start to end. I make zero sales for it, but it gives me the opportunity to interact, research, and learn from so many smart and cool folks. We live in a world full of opportunities.
🏓 If you want to get a better grasp of how neuronal networks are trained the TensorFlow Playground allows you to build, define, and train neuronal nets directly in your browser using pure JavaScript. Back to basics!
☯️ The more I grow older the more I realize that there’s nothing more complex, difficult, and meaningful to build than a simple life. This picture from my 2023 workstation in Greece always reminds me of this.
🦜 LangGraph.js is a framwork make by the LangChain team to orchestrate AI Agents. I've made this short introductory tutorial on the foundational building blocks of the graph structures used to define AI Agents and their behavior.
💡 Love the point made by David Heinemeier Hansson, the maker of Ruby on Rails, in this interview with Luca Rossi. Invest in identifying & learning timeless knowledge that can pay dividends for many years to come. Some examples SQL, GIT, CSS, Linux. Maybe we can include the inner mechanics of neuronal networks in this list.
💪 This is maybe the best visual representation of what it means to be a true senior software developer and leader.
🧑💻 Looking for a fun weekend project? The free sample chapter of my LangChain for JavaScript developers book explores how you can build a fully working quiz game with the output parsers of LangChain.js and OpenAI.
❓I sometimes wonder if coding will end up looking like in this code sample. Just import a generative AI code library and tell it in words what code to add.
🎲 Lately I've read a lot about ergodicity in entrepreneurship. Let's say you are invited to a game. You have 100$. At each coin toss, you can win 50% of your sum, or lose 40%. If this sounds like a good game to play, think again! 99% of players will lose all. More about it here.
That’s all for this edition, folks! Be kind, be smart, and keep coding!
📖 Build a full trivia game app with LangChain
Learn by doing with this FREE ebook! This 35-page guide walks you through every step of building your first fully functional AI-powered app using JavaScript and LangChain.js
📖 Build a full trivia game app with LangChain
Learn by doing with this FREE ebook! This 35-page guide walks you through every step of building your first fully functional AI-powered app using JavaScript and LangChain.js