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AI Waka
AI Waka
Apr 16, 2026 · Interview Experience

40 Must‑Know GenAI Interview Questions: From RAG Pipelines to Multi‑Agent Orchestration

This comprehensive guide compiles 40 senior‑level GenAI interview questions covering LLM fundamentals, retrieval‑augmented generation, prompt engineering, multi‑agent orchestration, fine‑tuning, evaluation, system design, NL‑to‑SQL, and knowledge‑graph retrieval, providing concise, accurate answers and practical trade‑off insights.

GenAIInterview PreparationLLM
0 likes · 31 min read
40 Must‑Know GenAI Interview Questions: From RAG Pipelines to Multi‑Agent Orchestration
Alibaba Cloud Observability
Alibaba Cloud Observability
Mar 16, 2026 · Artificial Intelligence

How LoongSuite Python Probe Simplifies AI Agent Observability

This article explains the observability challenges of modern AI agents—such as context drift, performance spikes, and opaque data semantics—and introduces the LoongSuite Python probe, an OpenTelemetry‑based, zero‑code‑change solution that automatically instruments AI workloads, provides unified GenAI semantics, and offers a three‑step quick‑start for full‑stack tracing.

AI ObservabilityGenAILoongSuite
0 likes · 14 min read
How LoongSuite Python Probe Simplifies AI Agent Observability
Alibaba Cloud Native
Alibaba Cloud Native
Mar 15, 2026 · Artificial Intelligence

How LoongSuite Python Probe Brings Full‑Stack Observability to GenAI Applications

This article explains the three core challenges of AI‑agent observability—data back‑flow, inconsistent semantics, and missing end‑to‑end traces—and shows how the LoongSuite Python probe, built on OpenTelemetry, provides automatic instrumentation, unified GenAI semantics, multi‑dimensional coverage, and flexible OTLP export to simplify monitoring, debugging, and optimizing AI applications.

AI ObservabilityCloud NativeGenAI
0 likes · 15 min read
How LoongSuite Python Probe Brings Full‑Stack Observability to GenAI Applications
Fighter's World
Fighter's World
Jan 23, 2026 · Artificial Intelligence

Why Most 'Palantir-ization' Fails: a16z Insights on Ontology‑FDE Architecture

The article dissects why many startups that try to emulate Palantir’s “platform‑first” model stumble, highlighting a16z’s five gating questions, the critical role of Ontology and Forward Deployed Engineers as a double‑helix architecture, and a practical matrix for assessing AI‑centric business and technical maturity.

AI PlatformEnterprise AIForward Deployed Engineer
0 likes · 20 min read
Why Most 'Palantir-ization' Fails: a16z Insights on Ontology‑FDE Architecture
DataFunTalk
DataFunTalk
Sep 23, 2025 · Artificial Intelligence

Inside the 2025 GenAI Summit: Cutting-Edge Research, Industry Applications, and Expert Insights

The DataFun 2025 GenAI Summit brings together top AI researchers and industry leaders to explore the latest breakthroughs in large‑model technology, generative recommendation, AI‑driven finance, video understanding, legal AI, and marketing, featuring five heavyweight forums, live demos, and a QR‑code registration for free access.

AI applicationsGenAIindustry AI
0 likes · 24 min read
Inside the 2025 GenAI Summit: Cutting-Edge Research, Industry Applications, and Expert Insights
DataFunTalk
DataFunTalk
Sep 20, 2025 · Artificial Intelligence

GenAI Unleashed: Cutting-Edge Practices & Real-World Applications

The DataFun Summit 2025 showcases leading experts presenting the latest breakthroughs in generative AI, large‑model research, and industry‑specific applications—from financial analysis and e‑commerce recommendation to video understanding and intelligent agents—offering attendees actionable insights to accelerate AI adoption across sectors.

AI applicationsGenAIindustry AI
0 likes · 26 min read
GenAI Unleashed: Cutting-Edge Practices & Real-World Applications
DataFunTalk
DataFunTalk
Sep 19, 2025 · Artificial Intelligence

GenAI Summit 2025: Large Model Innovations & Real-World Applications

The DataFun GenAI Summit 2025 brings together leading experts from Alibaba, Tencent, Ant Financial, and other tech giants to showcase the latest breakthroughs in large-model research, generative AI, multimodal understanding, and real-world deployments across finance, e-commerce, media, and enterprise services.

AI applicationsEnterprise AIGenAI
0 likes · 25 min read
GenAI Summit 2025: Large Model Innovations & Real-World Applications
Continuous Delivery 2.0
Continuous Delivery 2.0
Sep 1, 2025 · Artificial Intelligence

How Spotify Uses Multi‑Model Voting to Give GenAI a Trustworthy Confidence Score

Spotify’s finance engineering team tackled the challenge of reliable GenAI outputs for invoice parsing by testing three confidence‑scoring methods, discarding two, and refining a multi‑model voting approach with weighted votes, calibration, and practical implementation details for high‑risk, SOX‑compliant scenarios.

GenAISOX complianceconfidence scoring
0 likes · 9 min read
How Spotify Uses Multi‑Model Voting to Give GenAI a Trustworthy Confidence Score
Fighter's World
Fighter's World
May 17, 2025 · Industry Insights

Hidden Roadblocks That Sabotage B2B Large Model Products

The article dissects why many B2B GenAI projects fail to scale despite heavy investment, highlighting overlooked challenges in data preparation, model specialization, product integration, user experience, and organizational culture, and proposes concrete ways to bridge these gaps.

B2BGenAIdata engineering
0 likes · 21 min read
Hidden Roadblocks That Sabotage B2B Large Model Products
JavaEdge
JavaEdge
Mar 30, 2025 · Artificial Intelligence

How GenAI Can Transform E‑Commerce Product Review Analysis

This article examines the critical role of product reviews for buyers and sellers, outlines the limitations of traditional review processing, and proposes a GenAI‑powered solution—including platform and model choices, batch inference, and semantic search—to efficiently analyze large‑scale e‑commerce feedback.

Batch ProcessingGenAINLP
0 likes · 12 min read
How GenAI Can Transform E‑Commerce Product Review Analysis
DataFunSummit
DataFunSummit
Nov 20, 2024 · Artificial Intelligence

How Data Lakes Empower AI: Expert Insights on Feature Management, Columnar Storage, and Vector Formats

In a panel discussion, experts explain how data‑lake‑warehouse integration, columnar formats like Apache Iceberg, and emerging variant types enable efficient feature engineering, support large‑language‑model workloads, and provide flexible vector storage, thereby driving the evolution of AI from traditional ML to the GenAI era.

Apache IcebergData LakeGenAI
0 likes · 6 min read
How Data Lakes Empower AI: Expert Insights on Feature Management, Columnar Storage, and Vector Formats
ITPUB
ITPUB
Sep 18, 2024 · Databases

Why Vector Databases Are the Next Big Thing in GenAI Applications

The article examines how vector databases have become the most popular database type in the past three years, why they are essential for handling unstructured data in GenAI, compares proprietary and multi‑model solutions, and outlines future trends and practical deployment considerations.

AI applicationsDatabase TrendsGenAI
0 likes · 10 min read
Why Vector Databases Are the Next Big Thing in GenAI Applications
Architecture Development Notes
Architecture Development Notes
Jul 5, 2024 · Artificial Intelligence

Simplify Multi‑LLM Integration in Rust with the genai Library

genai is a Rust library that unifies the APIs of major large language models, offering a lightweight, native solution with simple chat‑focused examples, demonstrated through a dual‑model Rust program, and outlines future expansions such as additional model support, multimodal capabilities, and performance optimizations.

APIGenAILLM
0 likes · 6 min read
Simplify Multi‑LLM Integration in Rust with the genai Library
21CTO
21CTO
Jul 1, 2024 · Databases

MongoDB vs PostgreSQL: Which Handles GenAI Workloads Better?

This article compares MongoDB’s document‑oriented storage with PostgreSQL’s relational model for generative AI workloads, detailing how JSON, JSONB, and BSON affect insert and read performance across a series of benchmarks on identical hardware.

BSONBenchmarkDatabase Performance
0 likes · 11 min read
MongoDB vs PostgreSQL: Which Handles GenAI Workloads Better?
21CTO
21CTO
May 17, 2024 · Artificial Intelligence

How CEOs Are Leveraging GenAI to Tackle Talent Shortages and Boost Productivity

North American CEOs are confronting a tight labor market by lowering degree requirements, upskilling staff, and deploying generative AI, with surveys revealing that 77% see GenAI as a competitive edge, while also grappling with integration, ethical, security, and hybrid work challenges.

CEO SurveyGenAIWorkforce
0 likes · 8 min read
How CEOs Are Leveraging GenAI to Tackle Talent Shortages and Boost Productivity
DevOps
DevOps
Mar 3, 2024 · Operations

How Generative AI is Transforming DevOps: Benefits, Challenges, and Best Practices

Since 2022, generative AI has become a pervasive trend, and this article explores its integration into DevOps, outlining the technology’s advantages, limitations, emerging trends, and best practices while highlighting how AI‑driven automation reshapes software engineering workflows.

AI ethicsGenAIMLOps
0 likes · 10 min read
How Generative AI is Transforming DevOps: Benefits, Challenges, and Best Practices