Tagged articles

LLM Agent

10 articles · Page 1 of 1

Oct 17, 2026 · Artificial Intelligence

Tencent's Digital Employees Achieve 10x Speedup: Rewritten Agent Architecture Delivers Minutes-Level Data Analysis

Tencent's PCG Big Data Platform built digital employees that automate data analysis tasks like weekly reports, reducing delivery from days to minutes through a modular agent architecture combining LLM scheduling, tool protocols, semantic knowledge, memory systems, and evaluation-driven development with three key metrics.

Agent ArchitectureDigital EmployeeEvaluation-Driven Development

0 likes · 5 min read

Tencent's Digital Employees Achieve 10x Speedup: Rewritten Agent Architecture Delivers Minutes-Level Data Analysis

BanTech Think Tank

Sep 23, 2026 · Artificial Intelligence

From Knowledge Islands to Marketing Brain: Knowledge Fusion & Graph Reasoning for Corporate Products

China Postal Savings Bank built a corporate product recommendation system using multi-source knowledge fusion, a dual-engine vector database and knowledge graph, and a four-layer agent architecture (intent recognition, vector matching, graph retrieval, LLM polishing), achieving 90% accuracy—a 30% improvement over pure RAG—and deploying across 11 business channels with 36,000+ recommendations generated.

Corporate BankingFinancial TechnologyKnowledge Fusion

0 likes · 21 min read

From Knowledge Islands to Marketing Brain: Knowledge Fusion & Graph Reasoning for Corporate Products

Wu Shixiong's Large Model Academy

Sep 17, 2026 · Artificial Intelligence

Agent Harness: Writing a Resume That Shows Depth in LLM Agent Projects

This article breaks down the Agent Harness project—a cross-border e-commerce AI employee that validates new products in their first week—to demonstrate how to write a resume for Agent/LLM roles that highlights business value, system design, dynamic tool selection, context management, pluggable tools, stable engineering, and evaluation with concrete evidence.

Agent HarnessContext ManagementLLM Agent

0 likes · 22 min read

Agent Harness: Writing a Resume That Shows Depth in LLM Agent Projects

Su San Talks Tech

Sep 5, 2026 · Artificial Intelligence

Alibaba's Open Code Review: Hybrid Deterministic + LLM Agent Beats Claude Code

Alibaba's open-source Open Code Review tool combines deterministic engineering with LLM agents to achieve precise, line-level code reviews with higher precision and 1/9 token usage compared to generic AI agents like Claude Code, based on internal validation across millions of defects.

AlibabaDeterministic EngineeringHybrid Architecture

0 likes · 13 min read

Alibaba's Open Code Review: Hybrid Deterministic + LLM Agent Beats Claude Code

Geek Labs

Jul 27, 2026 · Artificial Intelligence

Let AI Trade for You: HKU’s Open‑Source Vibe‑Trading Agent Handles Research, Backtesting, and Order Execution in One Command

Vibe‑Trading, an open‑source AI‑driven personal trading agent from HKU’s Data Intelligence Lab, lets users issue a natural‑language prompt to automatically fetch data, generate strategy code, run vectorized backtests across multiple markets, produce detailed reports, and simulate live orders, while offering self‑improving behavior, multi‑agent teams, a 460‑plus academic factor library, and extensive broker connectors.

AI tradingLLM AgentPython

0 likes · 10 min read

Let AI Trade for You: HKU’s Open‑Source Vibe‑Trading Agent Handles Research, Backtesting, and Order Execution in One Command

AI Engineer Programming

Jul 11, 2026 · Operations

Building an Observability Platform for LLM Agents with OpenTelemetry

This article explains why LLM agents need a dedicated observability platform, introduces OpenTelemetry’s core concepts and architecture, shows how to manually instrument Python code, enable automatic instrumentation, configure the Collector, handle common distributed‑system pitfalls, and extend OTel with agent‑specific semantics and evaluation loops.

CollectorLLM AgentObservability

0 likes · 20 min read

Building an Observability Platform for LLM Agents with OpenTelemetry

Wu Shixiong's Large Model Academy

Jul 3, 2026 · Artificial Intelligence

Deep Research Series: 12 Articles From the Basic Loop to the First Training Review

This article reorganizes a 12‑part Deep Research Agent series into a logical learning path, summarizing each part’s problem, key solutions, and practical takeaways—from building a runnable loop and handling tool failures to data construction, context management, and training evaluation.

Context ManagementDeep ResearchInference Optimization

0 likes · 12 min read

Deep Research Series: 12 Articles From the Basic Loop to the First Training Review

DeWu Technology

Jun 17, 2026 · Artificial Intelligence

From Tracking Requirements to Rule Assets: How Hermes Agent Re‑engineers Data‑Warehouse Workflows

The article details how Hermes Agent transforms fragmented tracking and metric requests into a controlled, auditable workflow by layering persistent memory, skill deposition, unified gateways, and structured tool interfaces, ultimately delivering reusable rule assets and risk‑governed production hand‑offs.

Hermes AgentLLM AgentRisk Governance

0 likes · 12 min read

From Tracking Requirements to Rule Assets: How Hermes Agent Re‑engineers Data‑Warehouse Workflows

James' Growth Diary

Jun 10, 2026 · Artificial Intelligence

Credential Pool Multi-Key Rotation: How Hermes Makes Rate‑Limiting Self‑Healing

The article dissects Hermes' four‑layer credential‑pool architecture, explaining how it automatically rotates multiple API keys, handles 401/429 errors with state‑driven cooldowns, lazily refreshes OAuth tokens, discovers credentials from seven sources, and applies soft concurrency limits to keep agents running without manual intervention.

API key rotationHermesLLM Agent

0 likes · 21 min read

Credential Pool Multi-Key Rotation: How Hermes Makes Rate‑Limiting Self‑Healing

Bighead's Algorithm Notes

Dec 7, 2025 · Artificial Intelligence

AlphaQuanter: An End‑to‑End Tool‑Orchestrating Agent Using Reinforcement Learning for Stock Trading

AlphaQuanter tackles the three major limitations of existing LLM trading agents by introducing a single‑agent framework that dynamically orchestrates market tools, learns transparent decision policies via reinforcement learning, and achieves state‑of‑the‑art performance on key financial metrics across extensive stock‑level experiments.

AlphaQuanterLLM AgentReinforcement Learning

0 likes · 13 min read

AlphaQuanter: An End‑to‑End Tool‑Orchestrating Agent Using Reinforcement Learning for Stock Trading