Both GPUs and TPUs play crucial roles in accelerating the training of large transformer models, but their core architectures, performance […]
Category: Artificial Intelligence
Google AI Introduced Guardrailed-AMIE (g-AMIE): A Multi-Agent Approach to Accountability in Conversational Medical AI
Recent advances in large language model (LLM)-powered diagnostic AI agents have yielded systems capable of high-quality clinical dialogue, differential diagnosis, […]
A Coding Guide to Build Flexible Multi-Model Workflows in GluonTS with Synthetic Data, Evaluation, and Advanced Visualizations
In this tutorial, we explore GluonTS from a practical perspective, where we generate complex synthetic datasets, prepare them, and apply […]
Sam Altman wants to give everyone in the UK free access to ChatGPT Plus
The head and co-founder of OpenAI, Sam Altman, entered into discussions aimed at striking a deal to bring ChatGPT Plus […]
xAI makes Grok 2.5 open source and plans the same for Grok 3
Many of the concerns about artificial intelligence can be overcome through transparency. And it is in the name of transparency […]
GPZ: A Next-Generation GPU-Accelerated Lossy Compressor for Large-Scale Particle Data
Particle-based simulations and point-cloud applications are driving a massive expansion in the size and complexity of scientific and commercial datasets, […]
Prefix-RFT: A Unified Machine Learning Framework to blend Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT)
Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement fine-tuning (RFT), each with distinct […]
JSON Prompting for LLMs: A Practical Guide with Python Coding Examples
JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts […]
Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide
Table of contents 1. Regulatory and Risk Posture 2. Capability vs. Cost, Latency, and Footprint 3. Security and Compliance Trade-offs […]
Google AI Proposes Novel Machine Learning Algorithms for Differentially Private Partition Selection
Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A […]
