Lao Guo's Learning Space
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Lao Guo's Learning Space

AI learning, discussion, and hands‑on practice with self‑reflection

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Latest from Lao Guo's Learning Space

57 recent articles
Lao Guo's Learning Space
Lao Guo's Learning Space
May 9, 2026 · Artificial Intelligence

How Top Credit Data Firms Use AI to Transform Risk Management: 5 Key Practices

AI is transforming credit risk assessment by automating data profiling, anomaly detection, rating, early warning, and compliance auditing, cutting manual review costs from millions, boosting data coverage to over 99%, improving consistency and speed, and enabling firms to shift from reactive to proactive risk control.

AIanomaly detectionautomated profiling
0 likes · 11 min read
How Top Credit Data Firms Use AI to Transform Risk Management: 5 Key Practices
Lao Guo's Learning Space
Lao Guo's Learning Space
May 7, 2026 · Artificial Intelligence

Gemma 4 MTP Deep Dive: Speculative Decoding & KV‑Cache Sharing for 3× Faster Inference

The article explains why large‑language‑model inference is bottlenecked by memory‑bandwidth, then details Google’s Gemma 4 MTP technique—using a small draft model with speculative decoding and shared KV‑Cache—to parallelize token prediction, achieving up to three‑fold speed gains without any loss in output quality, and provides step‑by‑step local deployment instructions.

Gemma 4MTPSpeculative Decoding
0 likes · 11 min read
Gemma 4 MTP Deep Dive: Speculative Decoding & KV‑Cache Sharing for 3× Faster Inference
Lao Guo's Learning Space
Lao Guo's Learning Space
May 6, 2026 · Artificial Intelligence

Why Your RAG Keeps Missing the Mark: Enterprise‑Level Pitfall Guide

This article examines why Retrieval‑Augmented Generation systems that work in demos often fail in production, detailing common pitfalls—from chunking and vector‑database selection to hybrid retrieval and re‑ranking—and offers concrete strategies, configuration tips, and a decision tree to build reliable enterprise‑grade RAG solutions.

ChunkingEnterprise AIHybrid Retrieval
0 likes · 12 min read
Why Your RAG Keeps Missing the Mark: Enterprise‑Level Pitfall Guide
Lao Guo's Learning Space
Lao Guo's Learning Space
May 5, 2026 · Artificial Intelligence

Top DIY AI Supercomputer Builds 2026: RTX 5090 & GB300 from $300‑$100k

Analyzing the cost‑benefit of building personal AI supercomputers, the article compares cloud GPU rentals to DIY setups across budgets from $300 to $100k, detailing component choices such as RTX 5090, GB300, Mac Studio, and DGX Spark, while highlighting performance gains, ROI timelines, and common build pitfalls.

AI workstationDIY supercomputerGB300
0 likes · 14 min read
Top DIY AI Supercomputer Builds 2026: RTX 5090 & GB300 from $300‑$100k
Lao Guo's Learning Space
Lao Guo's Learning Space
May 5, 2026 · Artificial Intelligence

AMD Ryzen AI MAX+ PRO 495 Review: The Most Powerful Mobile APU Yet

The AMD Ryzen AI MAX+ PRO 495 (code‑named Gorgon Halo) boosts memory bandwidth, expands unified memory to up to 256 GB, and delivers 55‑60 TOPS NPU performance, resulting in roughly 4 % multi‑core and 3 % single‑core gains over its predecessor while targeting demanding AI workloads on thin‑and‑light laptops.

AMDMobile APUNPU
0 likes · 9 min read
AMD Ryzen AI MAX+ PRO 495 Review: The Most Powerful Mobile APU Yet
Lao Guo's Learning Space
Lao Guo's Learning Space
May 3, 2026 · Artificial Intelligence

2026 Enterprise Guide to Large Model Fine‑Tuning: Choosing, Training, and Deploying

This comprehensive guide explains why enterprises should fine‑tune large language models instead of using raw APIs or RAG, compares six fine‑tuning techniques (Full, LoRA, QLoRA, AdaLoRA, DoRA, Prompt‑Tuning), evaluates popular toolchains, outlines a step‑by‑step workflow, presents cost analyses, real‑world case studies, and practical best‑practice recommendations for 2026.

Cost OptimizationEnterprise AILoRA
0 likes · 18 min read
2026 Enterprise Guide to Large Model Fine‑Tuning: Choosing, Training, and Deploying
Lao Guo's Learning Space
Lao Guo's Learning Space
May 2, 2026 · Industry Insights

AI News Flash: DeepSeek Multimodal Breakthrough, Codex Major Update, Grok 4.3 Launch (May 1‑2)

The AI roundup covers OpenAI's Codex upgrade with Workspace Agents and 40% token efficiency, xAI's Grok 4.3 API offering 128K context and 60% lower pricing, Ant Group's open‑source Ling 2.6‑1T model, DeepSeek's multimodal Visual Primitives framework and its sudden removal, plus the ongoing GPT‑Plus account bans and their mitigation.

AI model benchmarksCodexDeepSeek
0 likes · 11 min read
AI News Flash: DeepSeek Multimodal Breakthrough, Codex Major Update, Grok 4.3 Launch (May 1‑2)
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 30, 2026 · Artificial Intelligence

How DeepSeek V4’s CSA + HCA Break the Million‑Token Barrier

Traditional full‑attention cannot handle million‑token contexts due to exponential compute and memory growth, but DeepSeek V4’s Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) compress, sparsely index, and precisely compute tokens, cutting KV cache to 10% and FLOPs to 27% while enabling a 1‑M token window on a single GPU.

Attention MechanismCSAHCA
0 likes · 12 min read
How DeepSeek V4’s CSA + HCA Break the Million‑Token Barrier
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 30, 2026 · Artificial Intelligence

Xiaomi Opens MiMo‑V2.5 and Gives 100 Trillion Free Tokens – A Must‑Grab

Xiaomi has open‑sourced its MiMo‑V2.5 series, including a 1.02 T‑parameter Pro model, and is giving developers up to 100 trillion free tokens for 30 days; the article details the models' token‑efficiency benchmarks, a macOS‑like demo, MIT‑license benefits, and step‑by‑step usage instructions.

AI benchmarkingLarge Language ModelMIT license
0 likes · 12 min read
Xiaomi Opens MiMo‑V2.5 and Gives 100 Trillion Free Tokens – A Must‑Grab
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 29, 2026 · Artificial Intelligence

What’s Inside GPT‑6’s ‘Spud’ Release? 5‑6 Trillion Parameters and 2 M Token Context

OpenAI’s GPT‑6 ‘Spud’ launch packs 5‑6 trillion parameters with MoE sparsity, a unified Symphony multimodal architecture, dual System‑1/2 reasoning, a 2‑million‑token window, and competitive benchmark results, while keeping pricing flat and introducing autonomous agent capabilities that reshape AI workflows.

AgentGPT-6Large Language Model
0 likes · 15 min read
What’s Inside GPT‑6’s ‘Spud’ Release? 5‑6 Trillion Parameters and 2 M Token Context