#ML learning resources
805 related articles
·3 min
Training a 1.3B Parameter LLM from Scratch: Complete Workflow and Core Challenges
A deep dive into the complete workflow of training a 1.3B parameter LLM from scratch, covering Transformer architecture design, data preparation, and distributed training optimization.
Read more →
·2 min
Open-Source Office Apps for Android: Alternatives to Google Docs
Looking for open-source alternatives to Google Docs? This article covers Collabora Office, AndrOpen Office, and other Android open-source office apps, analyzing format compatibility, mobile UX, and data privacy benefits.
Read more →
·3 min
Giving AI Root Access to a Computer and a Bank Card: A Full Breakdown of the Autonomous Money-Making Experiment
A developer gave an AI agent Mac root access, a bank account, and an iOS app with the directive to "make as much money as possible." A deep dive into the technical architecture, MCP protocol, security risks, and implications for AI development.
Read more →
·3 min
Which ML Projects Will Actually Help You Land a Job Offer?
Ditch overused tutorial projects. Learn what hiring managers actually look for in ML portfolios: LLM apps, Agent systems, MLOps practices, and real-world solutions.
Read more →
·3 min
Locally Deploying LLMs for Trading Bots: Hardware Selection & Model Recommendations
How to deploy LLMs locally on AMD RX 7800 XT 16GB for trading bots: ROCm ecosystem, 7B-14B model picks (Qwen2.5, Llama 3.1), Ollama/LM Studio setup, and system architecture design.
Read more →
·2 min
LangSmith Gateway Explained: Core Capabilities and Architecture of LangChain's Enterprise AI Model Gateway
Deep dive into LangSmith Gateway's core features including cost control, rate limiting, PII redaction, coding agent integration, and open-source model access for enterprise AI infrastructure.
Read more →
·4 min
SELENE Open-Source Project: An Interactive Notebook Library for Systematically Learning AI and Machine Learning from Scratch
SELENE is an open-source AI learning resource built on Jupyter Notebooks, systematically covering ML, deep learning, Transformers, and LLMs with interactive code and math derivations for beginners.
Read more →
·4 min
Guide to Securely Exposing Self-Hosted Services: From Tailscale to Defense in Depth
Complete guide to securely exposing self-hosted services: Tailscale zero-exposure, reverse proxy setup, Cloudflare Tunnel, Authelia auth gateway, server hardening, and 3-2-1 backup strategy.
Read more →
·2 min
Running Local LLMs on a 24GB Mac Mini: Model Selection & Speed Optimization Guide
24GB Mac Mini too slow for local LLMs? Learn why 14B models struggle, get 3B-8B model recommendations for Home Assistant, and discover Ollama speed optimization tips.
Read more →
·3 min
Should Undergraduates Pursue a Master's in Machine Learning? A Deep Dive into ML Career Paths
Should undergrads pursue an ML Master's? Deep analysis of why fresh grads struggle to land ML roles, the real value of an ML Master's, and practical paths from SDE to ML careers.
Read more →
·3 min
LLM Post-Training on an 8GB GPU: A Practical Guide to SFT, DPO, and GRPO
Learn how to complete LLM post-training on a consumer GPU with just 8GB VRAM, covering SFT, DPO, and GRPO methods using LoRA quantization and other techniques.
Read more →
·3 min
Explorative Modeling: How Best-of-K Training Strategies Improve Model Learning Efficiency
Explorative modeling lets models generate K candidate predictions and learn from the best one, introducing exploration into training. This article analyzes Best-of-K training strategy principles, applications, and challenges.
Read more →
·3 min
The Return of Private Cloud: A Rational Choice in the Era of Data Sovereignty and Compute Autonomy
After a decade of public cloud dominance, private cloud is making a comeback. From cost recalculation and data sovereignty compliance to AI compute autonomy, we analyze why enterprises are reconsidering private and hybrid cloud strategies.
Read more →
·3 min
Kimi-K3 Scores 60.4% on ARC-AGI-2: A Breakthrough in Abstract Reasoning
Kimi-K3 scores 60.4% on ARC-AGI-2, far surpassing most LLMs. This article analyzes what ARC-AGI-2 tests, what this score means for abstract reasoning, and its implications for the AI industry.
Read more →
·1 min
Has Google AI Really Fallen Behind? A Real Competitiveness Analysis from Transformer to Gemini
As the inventor of the Transformer architecture, Google was seen as slow to react after ChatGPT's explosion. This article analyzes Google AI's full journey from technical foundations to Gemini's catch-up.
Read more →
·5 min
The Complete Learning Path to Understanding the Kimi K3 Technical Report
A systematic learning path for understanding the Kimi K3 technical report, covering MoE, MLA, distributed training, and modern post-training techniques.
Read more →
·4 min
Cross-Cloud GPU Preemption Migration: How to Slash 40% of Compute Costs
Deep analysis of how cross-cloud GPU preemption migration technology helps MLOps teams cut 40% of compute costs through predictive telemetry, cross-cloud state migration, and compute arbitrage.
Read more →
·2 min
GPT 5.6 Luna: Outperforms Google's Best Model at a Price Lower Than Google's Cheapest
GPT 5.6 Luna reportedly tops Google's flagship on the Artificial Analysis Intelligence Index while costing less than Google's cheapest model. A deep dive into the tech trends, industry impact, and developer implications.
Read more →
·5 min
Halo: A Real-Time Anti-Deepfake Tool That Detects AI Face-Swapping in Video Calls
Halo is a local real-time deepfake detection tool that identifies AI-synthesized faces during Zoom, Teams, and Google Meet video calls to prevent face-swapping fraud.
Read more →
·5 min
witr: A Linux Process Tracing Tool for Quickly Identifying Why a Process Is Running
witr (Why Is This Running) is an open-source Linux process tracing tool that traces startup chains from processes, ports, containers, or files to quickly identify whether a process was launched by systemd, cron, or supervisor.
Read more →