Olimpiu Pop

2026-10-26

OTHER · 1 SOURCE · InfoQ AI, ML & Data Engineering

InfoQ opens November 2026 cohorts for Certified AI Engineering and High-Performing Teams

InfoQ announced three live online certification cohorts in November 2026: AI Engineering with Adi Polak (Nov 12, PST) and Lan Chu (Nov 13, CET), and a High-Performing Teams cohort with Olimpiu Pop (Nov 17). The programs cover production AI topics such as retrieval-augmented generation (RAG), context and memory pipelines, agent orchestration and control, AI infrastructure and evaluations, and team operating models; sessions are live, not recorded, and certification requires participation and a capstone.

4.0

2026-10-19

MODELS · 1 SOURCE · InfoQ AI, ML & Data Engineering

Rachel Lee Nabors on local SLMs, Mima client, and AI-driven dynamic UIs

In an InfoQ podcast, Rachel Lee Nabors discusses local-first web apps and their Mima client (mima.social), arguing that on-device small language models (SLMs) such as Llama 3.2B can provide privacy-preserving, low-latency, and lower-cost alternatives to cloud-hosted LLM wrappers. She also covers evaluating models with golden datasets, using client-side AI for moderation and social aggregation, and prospects for OS-level personal agents and dynamic UI standards like A2UI.

4.0

2026-09-24

COMPANIES · 1 SOURCE · InfoQ AI, ML & Data Engineering

InfoQ opens enrollment for Certified High-Performing Teams program with AI-focused module

InfoQ has opened enrollment for a five-week live online InfoQ Certified High-Performing Teams Program led by Olimpiu Pop, running Nov 17–Dec 17, 2026, with a tuition of $1,470. The curriculum covers team design, delivery flow, ownership, introduction of AI agents into software delivery, engineering metrics, and responsible AI; certification is awarded based on attendance, participation, and a group capstone project.

3.0

2026-09-21

OTHER · 1 SOURCE · InfoQ AI, ML & Data Engineering

Podcast: Sahil Agarwal introduces the DPACT framework for securing AI agents

In an InfoQ podcast, Sahil Agarwal discusses identity, authorization, and security challenges for AI agents and introduces the DPACT framework (Delegation, Policy, Auditability, Context, Time) as a blueprint for bounded, delegated authority rather than long‑lived token-based access. He emphasizes agents acting "on behalf of" users, incremental governance (inventory and visibility), and treating bounded task grants as first‑class infrastructure features.

4.0

2026-09-13

MODELS · 1 SOURCE · InfoQ AI, ML & Data Engineering

GitHub Copilot's Project HydraFusion promises frontier-level performance via multi-model routing

Project HydraFusion is a research preview for GitHub Copilot that implements runtime orchestration of models from multiple providers, dynamically assembling execution plans and using three execution patterns based on task complexity. Early evaluations reported in the preview indicate high task quality while substantially reducing operational costs.

7.0