#self-supervised learning
86 related articles
·3 min
Andrew Ng's Prompt Engineering Course: How Developers Call LLMs via API
A systematic overview of Andrew Ng's ChatGPT Prompt Engineering for Developers course: base vs. instruction-tuned models, API best practices, and two core prompting principles.
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·3 min
Fixing the Three Big Weaknesses of LLMs: Knowledge, Computation, and Tool Use
LLMs struggle with knowledge accuracy, math, and external capabilities. This article explains three prompt engineering solutions — generated knowledge prompting, PAL/PoT, and tool use — to systematically strengthen LLM reliability and build better AI Agents.
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·1 min
NVIDIA's Guide to Building Financial Transaction Foundation Models: From Pre-training to Downstream Applications
Deep dive into NVIDIA's guide for building financial transaction foundation models, covering representation learning, Transformer pre-training, distributed GPU training, and fine-tuning for fraud detection and credit assessment.
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·3 min
Using AI Tools to Write Your Graduate Thesis: Completing Deep Learning Experiments Without a CS Background
How can non-CS graduate students use AI tools like Cursor to efficiently complete their thesis? A complete guide covering data sourcing, code adaptation, and AI-assisted modifications.
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·2 min
Grok Free Usage Guide: A Complete Breakdown of AI Chat and Image Generation Features
A detailed guide to using Grok for free, covering AI image generation, unrestricted chat, role-playing features, comparisons with ChatGPT and Claude, and tips for safe access.
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·2 min
Three Key Narrative Threads Behind Siri's Reboot
Apple's Siri is undergoing its biggest reboot ever. Tim Cook sets AI strategy, Craig Federighi leads integration, and Mike Rockwell rebuilds Siri from the ground up.
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·2 min
Getting Started with LLM Fine-Tuning: Teaching AI New Tricks with Your Own Data
A detailed guide to LLM fine-tuning: core concepts, three key characteristics, and when to use it. Learn how to train a specialized AI model with small, high-quality datasets, plus comparisons with RAG and prompt engineering.
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·2 min
Claude Code vs ByteDance Codex: A Guide to Chinese Learning Resources and Choosing the Right Tool
Compare Claude Code and ByteDance Codex: their positioning, core capabilities, and use cases. Includes Chinese learning resource recommendations and beginner path selection guide for AI programming.
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Tutorials·3 min
Why Learning AI from Scratch Leaves You More Confused — A Clear, Systematic Roadmap for Beginners
Confused learning AI from scratch? This guide breaks down why fragmented learning fails and provides a complete path from Python to deep learning with practical tips.
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Tech Frontiers·3 min
OpenAI Codex Goes On-Premises, arXiv Introduces Collective Punishment for AI-Generated Papers
OpenAI partners with Dell to deploy Codex on-premises, arXiv imposes co-author bans for AI-generated papers, LeCun attacks Hinton, Huawei alumni drive embodied AI, Anthropic acquires dev tools company.
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Deep Dives·4 min
Introduction to Artificial Intelligence: A Comprehensive Guide from Basic Concepts to Core Machine Learning Principles
A comprehensive guide to AI definitions, working principles, strong vs. weak AI, and the relationship between machine learning and deep learning. Perfect for beginners entering the AI field.
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Tutorials·3 min
Getting Started with AI Full-Stack Development: A Knowledge Framework from Machine Learning to Large Language Models
A systematic guide to the relationships between AI, machine learning, deep learning, and large language models, helping developers build a clear knowledge framework and find an efficient learning path.
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Tutorials·3 min
Learning LLM Application Development from Scratch: A Complete Roadmap from RAG to Agent
How to start LLM application development from scratch? A complete roadmap covering Python basics, RAG knowledge bases, and Agent development with LangChain.
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Product Reviews·2 min
LikeTony.ai Review: AI Celebrity-Style Landing Page Copywriting Tool
In-depth review of LikeTony.ai, a free AI landing page copy rewriting tool supporting celebrity styles like Musk and Jobs. Analysis of its mechanics, value, limitations, and market positioning.
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Product Reviews·2 min
MESA Review: An AI Tool for Building Shopify Automation Workflows with Natural Language
In-depth review of MESA, an AI automation tool for Shopify. Build order processing, inventory, and fulfillment workflows using natural language — no coding required.
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Expert Opinions·2 min
Programmer's Survival Guide in the AI Era: Who Gets Left Behind, Who Becomes More Valuable?
AI won't replace programmers, but it will eliminate low-skill ones. Learn the 5 things AI can't do, which programmers are at risk, and how to stay valuable.
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Tech Frontiers·1 min
Google's Project Genie Combines Street View Data to Simulate the Real World — A Key Breakthrough for AI World Models
Google's Project Genie adds Street View-powered capabilities, transforming real locations into interactive simulated environments, now available globally for AI Ultra users.
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Tutorials·2 min
LangChain Beginner's Guide: A Complete Guide to LLM and Agent Development
A deep dive into LangChain framework essentials, clarifying the key differences between LLMs and Agents, covering Agent development, DeepAgent advanced topics, and learning paths.
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Tutorials·2 min
Introduction to Prompt Engineering: The Real Reason AI Can't Understand You
Why does AI always give irrelevant answers? This article explains prompt engineering fundamentals from the probabilistic prediction principles of LLMs, teaching you how to communicate effectively with AI.
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Expert Opinions·2 min
Before AI Replaces Programmers, It Will Replace the Boss
Will AI replace programmers? A deep analysis of why AI will replace the boss before it replaces programmers, and whether human creativity is truly irreplaceable.
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