How Do We Align Large Language Models with Human Values?
Author(s): Burak Degirmencioglu Originally published on Towards AI. As Large Language Models (LLMs) continue to demonstrate incredible potential across countless applications, from complex coding tasks to creative writing, a critical engineering challenge has emerged: LLM Alignment. This is the process of ensuring …
Node Classification in Dynamic Graphs
Author(s): Kalpan Dharamshi Originally published on Towards AI. Machine Learning on Graphs Machine learning on graphs, often referred to as Graph Machine Learning (GML), is a rapidly growing field that applies machine learning techniques to data structured as graphs, where entities (nodes …
Intro to Large Language Models
Author(s): cai zhang Originally published on Towards AI. Image from Andrej Karpathy’s YouTube video PS: This writing is from the Andrej Karpathy’s channel that is “Intro to Large Language Models”. If you would prefer to watch video, you can watch it by …
How I Turned Java Into a Money-Making Machine in 2025
Author(s): Code with Margaret Originally published on Towards AI. Why mastering Java’s ecosystem opened doors to financial growth and freelancing freedom When people talk about making money with programming, Python and JavaScript usually hog the spotlight. But let me tell you something …
TAI #173: OpenAI’s DevDay Deluge: Sora 2, AgentKit, and an App Store Reboot
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week was dominated by a deluge of product releases from OpenAI, culminating in its 2025 DevDay. The first big splash came with the …
Benchmarking LLMs for PhD-Level Science Problems
Author(s): Nicholas Poon Originally published on Towards AI. Curie A ground-breaking benchmark by Google, Harvard, Cornell University, NIST, and other institutions. As always, read this article for free here if you’re not a member.The article discusses the Curie benchmarking framework, which aims …
Beyond Basic RAG: A Practical Guide to Advanced Indexing Techniques
Author(s): Saif Ali Kheraj Originally published on Towards AI. https://en.wikipedia.org/wiki/Retrieval-augmented_generation#/media/File:RAG_diagram.svg Retrieval Augmented Generation (RAG) has become the go to approach for building AI systems that can access and reason over large document collections. But here is the reality most developers face: basic …
Fine-Tuning Open Source Models for Function Calling: A Complete Guide with Unsloth and Docker
Author(s): Sharath Kumar Originally published on Towards AI. The rise of AI agents and tool-enabled applications has made function calling a critical capability for language models. While proprietary models like GPT-4 excel at function calling out of the box, open-source alternatives require …
Time Series Foundation Models: A Comprehensive Comparison
Author(s): Rashmi Originally published on Towards AI. Time Series Foundation Models: A Comprehensive Comparison A time series is a sequence of data points collected or recorded at successive points in time, typically at uniform intervals. This article provides a thorough comparison of …
GANs: How AI Creates Images from Noise
Author(s): Aditya Gupta Originally published on Towards AI. We all love pranks right. Think of a friend that you like to prank. The first time you prank them it works, you get a few laughs and maybe they get annoyed. The next …
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