LangGraph Beginner to Advance: Part 2: Hello World Graph in LangGraph
Author(s): Talib Originally published on Towards AI. Awesome. So, now this is quite exciting. We’re actually about to start coding in LangGraph for the very first time. Now that we’ve covered all the theory, admittedly the boring section, we’re now actually going …
LangGraph Beginner to Advanced: Part 1: Introduction to LangGraph and some basic concepts
Author(s): Talib Originally published on Towards AI. Welcome to this LangGraph Beginner to Advance series. LangGraph has is one of the most popular frameworks for building Agentic AI applications. With Agentic AI, the application has a lot more scope and tasks to …
The Matrix Mathematics Behind AI: How LLMs Think Through Linear Algebra
Author(s): MahendraMedapati Originally published on Towards AI. 🚀 The Hidden Language of AI Imagine you’re chatting with ChatGPT, and it responds with a perfectly crafted poem or solves a complex coding problem in seconds. What’s happening under the hood? The answer might …
LangGraph Beginner to Advance: Part 3: Multi-Entries Inputs for State in LangGraph
Author(s): Talib Originally published on Towards AI. So now we’re about to build our second graph as you can see here. And it’s again quite similar to the first graph we built except now we’re going to be able to pass multiple …
How to Perform Comprehensive Large-Scale LLM Validation
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to validate large-scale LLM applications Output validation and evaluations are critical to ensuring robust, high-performing LLM applications. However, such topics are often overlooked in the greater scheme of LLMs. This infographic highlights …
What Happened When a Team Trained a 70B Model in 48 Hours
Author(s): R. Thompson (PhD) Originally published on Towards AI. Bottlenecks we didn’t expect, the optimizations that mattered, and what teams should measure first. TL;DR Credit : AI Generated ImageTogether’s Instant GPU Clusters create a streamlined self-service workflow for provisioning GPU clusters needed …
Prototype-Based Models and The Growing Importance of Interpretable AI
Author(s): Shiska Raut Originally published on Towards AI. Photo by Nick Fewings on Unsplash Artificial Intelligence (AI) has transformed how we approach problems in science, industry, and everyday life. Deep learning models now power everything from medical image analysis to autonomous vehicles. …
LAI #94: Deep Learning Myths, Multi-Agent Frameworks, and Synthetic Data in Practice
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week, we take a closer look at what deep learning really is — and what it isn’t. Rather than true intelligence, it’s better thought of as sophisticated …
7 Reasons Why You Should Care About AI, Especially as a Non-Tech-Savvy
Author(s): Felix Pappe Originally published on Towards AI. Image created by the author using gpt-image-1 Artificial Intelligence is no longer a futuristic concept or a topic reserved for scientists and software developers. It’s already woven into your daily life, whether you realise …
The GPU Bottleneck: Why Your Multi-GPU Training is Crawling (and How to Fix It!) 🚀 | GPU 瓶頸：為什麼你的多 GPU 訓練比你想像的還要慢（以及如何解決！）
Author(s): ChalBe Originally published on Towards AI. The GPU Bottleneck: Why Your Multi-GPU Training is Crawling (and How to Fix It!) 🚀 | GPU 瓶頸：為什麼你的多 GPU 訓練比你想像的還要慢（以及如何解決！） tags: Pytorch | DistributedDataParalle(DDP) | Performance Optimization So, you’ve assembled a beast of machine with …
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