#zero-shot learning

130 related articles

Jul 11, 2026·2 min

Fine-Tuning PaliGemma 2 for Custom Object Detection: A Practical Guide from General to Specialized

Learn how to fine-tune Google's open-source PaliGemma 2 VLM for custom object detection. Covers model architecture, data formatting, fine-tuning strategies, and real-world value.

Jul 11, 2026·5 min

Practical Guide to Deploying Invoice Analysis AI: Model Selection and Architecture Pitfalls

How can enterprises process 50+ invoice formats with AI? This article analyzes visual document understanding approaches—multimodal LLMs, OCR+LLM, and hybrid architecture—with key decision advice for non-technical AI leads.

Jul 10, 2026·2 min

Toto-2.0: Multivariate Time Series Forecasting Enters the Foundation Model Scaling Era

Toto-2.0 is a major breakthrough in time series forecasting, applying LLM scaling philosophy to achieve zero-shot multivariate prediction across domains via unified representations.

Jul 10, 2026·4 min

Switching Careers to LLM Development: The Four Core Competency Layers Companies Actually Need

Want to break into LLM development but not sure where to start? This guide breaks the core skills into four progressive layers — from basic knowledge to RAG, fine-tuning, Agents, and multimodal — so you can align with real enterprise needs and land the job.

Jul 10, 2026·3 min

AI Application Development Learning Roadmap: From Agents and RAG to Real-World Career Success

Want to break into AI application development? This guide covers the full learning path — from Agents and RAG to Prompt Engineering — helping you master LLM engineering skills and land the job.

Jul 10, 2026·3 min

IMGNet: A New Face Verification Approach Where Sign Pattern Matching Challenges Cosine Similarity

IMGNet is a 10MB face verification model replacing cosine similarity with sliding window sign pattern matching. Sign metrics outperform cosine on LFW and other benchmarks, suggesting sign consistency may be intrinsic to quality face embeddings.

Jul 9, 2026·6 min

Introduction to Prompt Engineering: Principles, Methods, and Practical Case Studies

Prompt Engineering is the core skill for harnessing LLMs. This article covers principles and design methods through real cases like translation role-setting and DeepSeek image generation.

Jul 9, 2026·6 min

Rust AI Agent System Prompt Engineering in Practice: A Seven-Dimensional Design Guide

An in-depth analysis of the four core roles of AI Agent system prompts and the four-step tool-calling method, covering behavioral boundaries, autonomous execution principles, and trigger pattern design—helping Rust developers build high-quality agents.

Jul 9, 2026·7 min

Andrew Ng's Prompt Engineering Course Essentials: Core Methodology Every Developer Must Learn

An in-depth analysis of the essentials of Andrew Ng and OpenAI's ChatGPT Prompt Engineering course. Covers the difference between base and instruction-tuned models, two core prompting principles, and how to wield LLM APIs to build apps.

Jul 9, 2026·6 min

Introduction to Prompt Engineering: A Complete Guide from Understanding to Implementation

Prompt engineering is more than messaging AI. This guide breaks down the four core functions of prompts, the six-step prompt engineering process, and key limitations to help you build the right foundation.

Jul 9, 2026·7 min

Prompt Engineering in Practice: A Programmer's Core Methodology for Prompt Tuning

A deep dive into the underlying logic of prompt engineering from a programmer's perspective: understand token-probability generation, master the three principles of specific, rich, and low-ambiguity, and learn iterative prompt tuning.

Jul 9, 2026·6 min

Prompt Engineering in Practice: A Programmer's Core Methodology for Tuning Prompts

An in-depth analysis of prompt engineering from a programmer's perspective: understand token probability generation, master the three principles—specific, rich, low-ambiguity—and learn iterative prompt tuning.

Jul 9, 2026·4 min

Prompt Engineering 101: Core Concepts, Value, and Limitations Explained

What is prompt engineering? This guide covers prompts, their four key functions, the 6-step engineering process, business value, and technical limitations for a complete foundation.

Jul 9, 2026·7 min

LLM Evaluation: The Testing Industry's Scarcest Career Pivot and the Timing to Enter

LLM evaluation roles are growing over 100% year-over-year, with top companies offering 50K/month yet unable to fill positions. This article explores how testing pros can seize the window.

Jul 9, 2026·4 min

Career Switch to LLM Development: A Four-Level Skill Progression Roadmap

Want to switch careers into LLM development but don't know where to start? This guide breaks down a four-level skill roadmap — from basics and API calls to RAG, fine-tuning, Agent development, and multimodal — to help you build real AI career value.

Jul 9, 2026·7 min

Gemini Meets Google Business Profile: How AI Becomes a Dedicated Business Partner for Small Businesses

Google lets businesses connect their Google Business Profile to Gemini, so the AI can read operating info, reviews, and business data to offer targeted marketing advice—lowering AI barriers for SMBs.

Jul 9, 2026·4 min

AI Agent: A Complete 6-Week Learning Roadmap from Beginner to Production

A complete 6-week AI Agent learning roadmap covering core architecture (planning/memory/tool use), the ReAct paradigm, multi-agent collaboration, RAG integration, and production deployment.

Jul 9, 2026·7 min

Block-Sparse Featurizers: Opening the Black Box of Vision Model Neural Geometry

Block-sparse featurizers remap dense vision model activations into block-sparse representations, making the internal feature spaces of ViT, CNN, and other models readable and interpretable. This article explores their core principles, links to mechanistic interpretability, and applications.

Jul 8, 2026·6 min

A Beginner's Guide to AI Agents: How Large Models Are Driving a New Computing Revolution

What is an AI Agent? This article systematically explains the core architecture of AI agents (LLM + Planning + Memory + Tools), how they differ from ChatGPT, their combination with robots, and why developers must master Agent development skills.

Jul 8, 2026·3 min

Build an AI Agent Framework from Scratch: A Full Walkthrough of Function Call and MCP

Build an AI Agent framework from scratch — no LangGraph or Swarm. Deep dive into Function Call, MCP mirroring, dual-model dispatch, and short-term memory management.