I Created an Openai API Server, Because There Wasn’t One
Author(s): Fabio Matricardi Originally published on Towards AI. I analyzed OpenVINO’s complexities and built my own API Server in 20 hours — from the idea to the code: the hidden truth about coding with Claude as an AI assistant. This member-only story …
Stride Forward: Pioneering the Future of Humanoid Robotics
Author(s): Luhui Hu Originally published on Towards AI. Humanoid robotics has always been at the cutting edge of artificial intelligence, merging intricate control systems with dynamic real-world challenges. In our recent work, STRIDE: Automating Reward Design, Deep Reinforcement Learning Training and Feedback …
TAI #142: GPT-4.5 Released — But Can It Stack Up Against Reasoning Models?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week’s GPT-4.5 release landed with predictable excitement but, perhaps more tellingly, also sparked some debate. Despite being OpenAI’s largest and most expensive model …
Decoding the LLM Pipeline: How Large Language Models Work in 8 Steps
Author(s): Ecem Karaman Originally published on Towards AI. Introduction: Making Sense of the Black Box On the surface, LLMs seem pretty straightforward — you type something in, and they generate a response. Simple input, simple output. But under the hood, it’s a …
Advancing Generative AI with Retrieval-Augmented Generation
Author(s): Richa Taldar Originally published on Towards AI. Advancing Generative AI with Retrieval-Augmented Generation Large Language Models (LLMs) have revolutionized AI-driven text generation, but accuracy remains one of their biggest challenges. While these models can process vast amounts of information, they still …
Beyond Training Data: How RAG Lets LLMs Retrieve, Not Guess
Author(s): DarkBones Originally published on Towards AI. Source: Image by the author generated with Flux. Large Language Models (LLMs) like GPT-4 don’t actually ‘know’ anything, they predict words based on old training data. Retrieval-Augmented Generation (RAG) changes that by letting AI pull …
The Rise of Diffusion LLMs
Author(s): Mirko Peters Originally published on Towards AI. Diffusion models represent a game-changing approach to language modeling, offering remarkable speed and unique capabilities compared to traditional architectures. Their capacity for multimodal applications could redefine how we interact with AI. This member-only story …
Small and Cool: Inside Microsoft’s New Phi-4-Mini and Phi-4-Multimodal
Author(s): Jesus Rodriguez Originally published on Towards AI. Createed Using Midjourney I recently started an AI-focused educational newsletter, that already has over 175,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
Top 25 AI-Related Highlights from the WEF Future of Jobs 2025 Report
Author(s): Murat Girgin Originally published on Towards AI. Understanding the intersection of artificial intelligence and tomorrow’s workforce is the initial step to be prepared better for the future of work. This member-only story is on us. Upgrade to access all of Medium. …
Mastering the Basics: How Decision Trees Simplify Complex Choices
Author(s): Miguel Cardona Polo Originally published on Towards AI. “Trees playing Baseball” by author using DALL·E 3. Decision trees form the backbone of some of the most popular machine learning models in industry today, such as Random Forests, Gradient Boosted Trees, and …
Premium SSD vs Ultra SSD: Azure Storage Performance for Distributed Databases
Author(s): Richie Bachala Originally published on Towards AI. When building distributed systems in the cloud, storage performance can make or break your application’s success. In this post, we’ll explore how different Azure disk types perform under distributed database workloads, using YugabyteDB as …
Premium SSD vs Ultra SSD: Azure Storage Performance for Distributed Databases
Author(s): Richie Bachala Originally published on Towards AI. When building distributed systems in the cloud, storage performance can make or break your application’s success. In this post, we’ll explore how different Azure disk types perform under distributed database workloads, using YugabyteDB as …
Building Robust Verification Pipelines for RAG Systems: Ensuring Accurate and Relevant LLM Responses
Author(s): Kaitai Dong Originally published on Towards AI. 6 ways to get bullet-proof LLM-generated responses for your RAG system. This member-only story is on us. Upgrade to access all of Medium. Figure 1: An overview of six LLM response verification methods [Image …
Rethinking Imbalance: LLM Embeddings for Detecting Subtle Irregularities
Author(s): Elangoraj Thiruppandiaraj Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. I’ve worked on anomaly detection problems for a while now, and one obstacle I consistently face is extreme imbalance in the data. …
GPT-4.5: The Next Evolution in AI
Author(s): Naveen Krishnan Originally published on Towards AI. Last week, I shared my thoughts on phi‑4 models and their innovative multimodal approach. Today, I’m thrilled to write about GPT‑4.5 — a model that not only pushes the boundaries of conversational AI but …
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