Build vs Buy for Enterprise AI (2025): A U.S. Market Decision Framework for VPs of AI Product
Enterprise AI in the U.S. has left the experimentation phase. CFOs expect clear ROI, boards expect evidence of risk oversight, and regulators expect controls consistent with existing risk management obligations.…
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, often leaping into the realm of billions or trillions of…
A Full Code Implementation to Design a Graph-Structured AI Agent with Gemini for Task Planning, Retrieval, Computation, and Self-Critique
In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for…
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 strengths and limitations. SFT is effective in teaching instruction-following through…
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 clear, explicit, and machine-readable. Unlike traditional text-based prompts, which can…
What is a Voice Agent in AI? Top 9 Voice Agent Platforms to Know (2025)
What is a Voice Agent? An AI voice agent is a software system that can hold two-way, real-time conversations over the phone or internet (VoIP).…
Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide
No single solution universally wins between Large Language Models (LLMs, ≥30B parameters, often via APIs) and Small Language Models (SLMs, ~1–15B, typically open-weights or proprietary specialist models). For banks, insurers,…
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 critical task within DP is partition selection—the process of safely…
AmbiGraph-Eval: A Benchmark for Resolving Ambiguity in Graph Query Generation
Semantic parsing converts natural language into formal query languages such as SQL or Cypher, allowing users to interact with databases more intuitively. Yet, natural language is inherently ambiguous, often supporting…
Huawei CloudMatrix: A Peer-to-Peer AI Datacenter Architecture for Scalable and Efficient LLM Serving
LLMs have rapidly advanced with soaring parameter counts, widespread use of mixture-of-experts (MoE) designs, and massive context lengths. Models like DeepSeek-R1, LLaMA-4, and Qwen-3 now reach trillions of parameters, demanding…















