98 related articles

Preparing for Citi's Junior Generative AI Application Developer final interview? This guide breaks down technical topics, behavioral questions, financial industry considerations, and efficient short-term prep strategies for LLM, RAG, and system design.

A deep dive into AI Agent development: real architecture, entry barriers, and learning paths. From ReAct to multi-agent systems and LangChain — cut through the hype.

HKUDS's open-source Vibe-Trading gained nearly 1,000 GitHub stars in a day. This deep dive covers its LLM+Tool Calling architecture, core modules, and the risks of AI-driven trading agents.

Anthropic launches 'Usage Reflection' for Claude, helping users examine AI interaction patterns and identify over-reliance risks. A look at the product logic, privacy considerations, and why AI literacy matters.

Onboard-CLI is an open-source CLI tool combining LLMs and AST analysis to help developers quickly visualize and understand unfamiliar codebases. A deep dive into its tech approach, use cases, and limitations.

Visa's open-source Agentic security testbed Harness orchestrates threat modeling, vulnerability research, adversarial reproduction, and structured reporting into an auditable pipeline — not just a scan button.

Google lets businesses connect their Google Business Profile to Gemini, so the AI can read operating info, reviews, and business data to offer targeted marketing advice—lowering AI barriers for SMBs.

Intimidated by AI Agent development? This article breaks down the two biggest beginner pain points and reveals why the real skill isn't memorizing APIs, but mastering requirement decomposition, workflow design, and problem-solving.

Use NotebookLM for cross-document AI research and reasoning, Obsidian for long-term knowledge storage and linking. Combine both to build a second brain that gets smarter with use.

Rumors of GPT-5.6 Sol Ultra integrating into Codex are circulating in tech communities, but OpenAI hasn't confirmed anything. We analyze the real trends: context understanding, reasoning, and agentic workflows.

Struggling with math and Python when learning AI from scratch? This article lays out a five-step entry path: grasp the concepts, learn Python lightly, master ML and deep learning principles, get hands-on with PyTorch, then deepen understanding through real projects.

More developers are finding AI coding assistants "claim completion without execution." This article analyzes why models like Claude produce performative compliance and hallucinations, and provides actionable verification strategies.

More developers are finding AI coding assistants "claim completion without execution." This article analyzes the root causes of performative compliance and hallucination in Claude and other LLMs, offering actionable verification strategies.

Gemini CLI is Google's open-source AI terminal tool that deeply integrates Gemini model capabilities into the command line—supporting code generation, file operations, Shell execution, and MCP protocol extensions, with 1,000 free daily requests.

Google Gemini's latest Drops update: real-time voice-to-image generation lowers creative barriers, plus new small business AI tools. A deep dive into multimodal AI strategy.

DeepSeek and Peking University release DiSpark, an open-source framework that speeds up LLM inference by 60–85% using speculative decoding and hierarchical verification — no hardware changes or retraining required.

Silicon Valley tech giants are quietly abandoning the doomsday 'AI destroys jobs' narrative in favor of AI augmentation and human-AI collaboration. A deep analysis of the reality gap, regulatory pressure, and business logic behind this reversal.

Thomson Reuters CEO Steve Hasker shares his personal AI routine: analyzing documents, managing his calendar, and gaining insights every Monday. A look at how leaders drive real enterprise AI transformation through practice and continuous learning.

A deep dive into AI Agent architecture and enterprise deployment. From LangChain and ReAct design to dynamic tool calling and multi-task recognition — build autonomous enterprise AI assistants.

Step-by-step guide to building a complete RAG pipeline with Ollama + LangChain + FAISS + Qwen 1.5B. Run document retrieval and intelligent Q&A locally without a GPU.