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Old Zhang's AI Learning
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Old Zhang's AI Learning

AI practitioner specializing in large-model evaluation and on-premise deployment, agents, AI programming, Vibe Coding, general AI, and broader tech trends, with daily original technical articles.

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Latest from Old Zhang's AI Learning

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Old Zhang's AI Learning
Old Zhang's AI Learning
May 11, 2026 · Artificial Intelligence

Open‑Source Qwen3.6‑35B‑A3B Runs at 162 tok/s on a Single RTX 5090

The article introduces the open‑source Qwen3.6‑35B‑A3B model, explains its MoE architecture, three‑stage LoRA fine‑tuning, shows benchmark results where it achieves 161.9 tok/s on an RTX 5090—2.6× faster than a dense 27B counterpart—and discusses deployment tips, quantized GGUF release, and known compatibility pitfalls.

GGUF quantizationLarge Language ModelLoRA fine-tuning
0 likes · 7 min read
Open‑Source Qwen3.6‑35B‑A3B Runs at 162 tok/s on a Single RTX 5090
Old Zhang's AI Learning
Old Zhang's AI Learning
May 11, 2026 · Information Security

Critical CVE-2026-7482 'Bleeding Llama' in Ollama: Why You Must Upgrade Now

Ollama versions before 0.17.1 suffer a CVSS 9.1 heap out‑of‑bounds read vulnerability (CVE‑2026‑7482) that lets attackers upload malicious GGUF files, read server memory—including env vars and API keys—and exfiltrate data, affecting over 300,000 publicly exposed servers, so immediate upgrade and hardening are essential.

API vulnerabilityBleeding LlamaCVE-2026-7482
0 likes · 5 min read
Critical CVE-2026-7482 'Bleeding Llama' in Ollama: Why You Must Upgrade Now
Old Zhang's AI Learning
Old Zhang's AI Learning
May 11, 2026 · Artificial Intelligence

Ling-2.6-1T: 1T‑Parameter, Fast‑Thinking, Agent‑Ready Model After DeepSeek‑V4

Ant Group's Ling‑2.6‑1T, a 1‑trillion‑parameter LLM built for token efficiency and fast‑thinking, outperforms on elite reasoning and agentic benchmarks, offers easy local deployment via vLLM or SGLang, provides a quantized 3.6‑bit version, and includes practical usage tips for developers and knowledge workers.

Agentic ModelClaude Code IntegrationLing-2.6-1T
0 likes · 12 min read
Ling-2.6-1T: 1T‑Parameter, Fast‑Thinking, Agent‑Ready Model After DeepSeek‑V4
Old Zhang's AI Learning
Old Zhang's AI Learning
May 9, 2026 · Artificial Intelligence

Claude’s Open‑Source Financial Skills: A Deep Dive

Anthropic’s new claude‑for‑financial‑services repository bundles 11 ready‑to‑run agents, vertical plugins, and 11 MCP data connectors that automate core Wall Street workflows—from pitch decks and earnings reviews to valuation modeling—while offering clear installation paths and guidance for enterprise customization.

AI agentsClaudeFinancial Services
0 likes · 13 min read
Claude’s Open‑Source Financial Skills: A Deep Dive
Old Zhang's AI Learning
Old Zhang's AI Learning
May 9, 2026 · Artificial Intelligence

Why Gemini’s Multimodal RAG with File Search Is So Compelling

The article analyzes Google Gemini’s File Search tool as a fully managed multimodal RAG solution, detailing its architecture, key features, pricing model, step‑by‑step usage, strengths, limitations, and how it compares with OpenAI Assistants File Search and Vertex AI Search.

AI RetrievalEmbeddingFile Search
0 likes · 14 min read
Why Gemini’s Multimodal RAG with File Search Is So Compelling
Old Zhang's AI Learning
Old Zhang's AI Learning
May 8, 2026 · Artificial Intelligence

Testing RHTV: Native AI Agent Powers One‑Stop Face‑Swap, Image Refinement, and Video Production

The article evaluates RunningHub’s RHTV platform, showing how its native AI agent integrates face‑swap, product‑image refinement and video generation on a single infinite canvas, eliminating the fragmented workflow of other tools and enabling rapid, controllable short‑form video creation demonstrated with a toothbrush‑promotion example.

AI agentsAI video generationRHTV
0 likes · 7 min read
Testing RHTV: Native AI Agent Powers One‑Stop Face‑Swap, Image Refinement, and Video Production