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Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 1, 2026 · Artificial Intelligence

Claude Code’s Source Code Reveals Anthropic’s Move from Tool to Self‑Evolving AI Agent

A deep dive into Claude Code’s 500 k‑line TypeScript repository shows how Anthropic is turning a programming assistant into a memory‑rich, autonomous AI agent platform with multi‑agent collaboration, cloud‑native scheduling, speculative execution, and even a pet‑style companion.

AnthropicClaude Codecloud scheduling
0 likes · 20 min read
Claude Code’s Source Code Reveals Anthropic’s Move from Tool to Self‑Evolving AI Agent
Bighead's Algorithm Notes
Bighead's Algorithm Notes
Jan 6, 2026 · Artificial Intelligence

FinRS: A Risk‑Sensitive Trading Framework for Real‑World Financial Markets

FinRS integrates hierarchical market analysis, dual decision agents, and multi‑time‑scale reward feedback to enable risk‑aware multi‑stage trading, achieving higher cumulative returns, better Sharpe ratios, and lower maximum drawdowns than existing LLM‑based and reinforcement‑learning baselines across diverse stocks.

FinRSLLMfinancial markets
0 likes · 14 min read
FinRS: A Risk‑Sensitive Trading Framework for Real‑World Financial Markets
Amap Tech
Amap Tech
Dec 11, 2025 · Artificial Intelligence

How ACoder Achieved Up to 24× Faster Multi‑Platform Development with AI

The ACoder platform combines multi‑model AI, a panoramic code‑understanding engine, and a layered knowledge‑management system to automate the entire software‑development lifecycle, delivering 5‑20× overall efficiency gains, up to 24× speed‑up for cross‑platform code migration, and dramatically higher code‑recall accuracy.

AI codingcode generationknowledge management
0 likes · 19 min read
How ACoder Achieved Up to 24× Faster Multi‑Platform Development with AI
JD Tech Talk
JD Tech Talk
Mar 24, 2025 · Artificial Intelligence

MaRCA: Multi‑Agent Reinforcement Learning Computation Allocation for Full‑Chain Ad Serving

This article presents MaRCA, a multi‑agent reinforcement learning framework that allocates computation resources across the full ad‑serving chain by modeling user value, compute consumption, and action rewards, enabling fine‑grained power‑tilting toward high‑quality traffic and achieving significant business gains under strict latency constraints.

AI OptimizationLoad Balancingad serving
0 likes · 16 min read
MaRCA: Multi‑Agent Reinforcement Learning Computation Allocation for Full‑Chain Ad Serving
JD Retail Technology
JD Retail Technology
Mar 18, 2025 · Artificial Intelligence

Multi‑Agent Reinforcement Learning Based Full‑Chain Computation Allocation (MaRCA) for Advertising Systems

MaRCA, a multi‑agent reinforcement‑learning framework, allocates compute across JD’s advertising playback chain by jointly estimating user value, resource consumption, and action outcomes while dynamically adjusting to real‑time load, achieving roughly 15 % higher ad revenue without extra compute resources.

AdvertisingCompute Schedulingdeep learning
0 likes · 18 min read
Multi‑Agent Reinforcement Learning Based Full‑Chain Computation Allocation (MaRCA) for Advertising Systems
DataFunSummit
DataFunSummit
Nov 14, 2024 · Artificial Intelligence

Building Multi‑Scenario Personal and Office AI Assistants with Large Models at Huolala

Huolala leverages large language models to create a suite of AI assistants—ranging from professional troubleshooting bots to multimodal insurance quoting tools—across more than 14 logistics scenarios, detailing platform architecture, prompt engineering, multi‑agent coordination, and future AI‑driven business empowerment.

AI assistantsLLM platformLogistics
0 likes · 13 min read
Building Multi‑Scenario Personal and Office AI Assistants with Large Models at Huolala