Building Smarter AI Agents with LlamaIndex, Haystack, and n8n: A Deep Dive into RAG and Automation
Author(s): Neha Manna Originally published on Towards AI. Imagine you’re running a restaurant: The Chef (LLM) is brilliant at cooking but doesn’t know what’s in the pantry or what customers ordered yesterday. LlamaIndex is like your organised pantry manager — it catalogs …
K-Means Clustering — What Every Data Scientist Should Know
Author(s): Aamir Raja Originally published on Towards AI. Discussing and simplifying intricacies of K-means clustering for machine learning. Photo by Igor Omilaev on Unsplash K-means clustering. What exactly is this? It’s an extremely useful machine learning model that creates clusters in order …
The Next Step in Agentic AI: Context Engineering?
Author(s): Burak Degirmencioglu Originally published on Towards AI. Our interactions with artificial intelligence have become much more complex and dynamic than simply giving commands. We now expect them not only to answer our questions but also to complete multi-step tasks, use tools, …
Agent Protocols
Author(s): Burak Degirmencioglu Originally published on Towards AI. The rapid advancements in the field of artificial intelligence are moving beyond intelligent systems that work in isolation, opening the door to complex ecosystems of AI agents that can communicate and collaborate with one …
LLM Jailbreaking: What Can We Discover Beyond the Rules?
Author(s): Burak Degirmencioglu Originally published on Towards AI. In this article, we will examine LLM Jailbreaking step-by-step, including what LLM Jailbreaking is, its classifications, its place in the context of security, LLM Jailbreaking techniques, real-world examples, and OWASP risks. As a reader, …
Performance Optimization in NumPy (Speed Matters!)
Author(s): NIBEDITA (NS) Originally published on Towards AI. Hey guys! Welcome back to our NumPy for DS & DA series. This is going to be the 9th article of this series. In our previous article, we discussed Generating Random Numbers with NumPy. …
No Libraries, No Shortcuts: LLM from Scratch with PyTorch
Author(s): Ashish Abraham Originally published on Towards AI. The no BS guide to build, train, and fine-tune a Transformer architecture from scratch OpenAI has recently launched its highly anticipated open-source GPT-OSS models, a moment that invites a minute of reflection on just …
Master AI Engine Optimization (AEO) and its 3 sub-fields: LLMO, GEO, and AAIO.
Author(s): Mohit Sewak, Ph.D. Originally published on Towards AI. The age of SEO is over. The new era of AI Engine Optimization has begun. Alright, grab your cup of chai, pull up a chair, and let’s talk. Because the internet as you …
October Cohort Kicks Off on 5th October — 2 Days Left
Author(s): Towards AI Editorial Team Originally published on Towards AI. Enroll today to unlock October’s live kick-off, updated courses, and hands-on projects. The October cohort kicks off on 5th October (in less than 48 hours). If you’ve been waiting for the right …
LLM Multi-GPU Training: A Guide for AI Engineers
Author(s): Burak Degirmencioglu Originally published on Towards AI. To keep up with the rapid evolution of large language models (LLMs), multi-GPU training has become a crucial necessity for AI engineers. As models scale from billions to trillions of parameters, a single GPU …
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