Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...

New research exposes how prompt injection in AI agent frameworks can lead to remote code execution. Learn how these ...

Abstract: The Data-driven methods for predicting the State of Health (SOH) under diverse ageing scenarios provide a robust and effective solution. This work proposes novel SOH estimation frameworks ...

Microsoft says Agent Framework 1.0 is the production-ready release, with stable APIs and long-term support for both .NET and Python. The framework is presented as a unified successor path that builds ...

Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building context-aware agents. But moving from a basic prototype to a ...

Implemented pandas-based cleaning rules in data_preprocessing.py, transformations for salesorder.csv → clean_salesorder.csv, pipeline testing via multiple DAG runs.

LangChain open-sources evaluation methodology for Deep Agents, emphasizing targeted testing over volume to improve AI agent reliability in production. LangChain has published its internal methodology ...

Your laptop (VS Code) Azure Static Web Apps ─────────────────── ───────────────────── 1. Prep data python scripts/data_prep.py 2. Run eval python run_eval.py --agent1 data.xlsx 3.

Val Kilmer died in 2025, but fans might still get to see him in 'As Deep as the Grave' using AI technology. Here's what the film director said about the opportunity. “He was the actor I wanted to play ...

As generative artificial intelligence reshapes instructional workflows at colleges and universities, a four-level transparency framework can help education developers calibrate documentation and ...