Category: AI Technology - Page 3

Product Design with Multimodal Generative AI: Rapid Prototypes and Iterations

Discover how multimodal generative AI transforms product design by integrating text, images, and data to create rapid prototypes. Learn about the six-stage workflow, industry applications, and practical implementation strategies.

Unit Test First Prompting: How to Generate Tests Before Code

Learn Unit Test First Prompting: a method to generate AI unit tests before code. Improve security, reduce bugs, and master TDD with LLMs like ChatGPT and GitHub Copilot.

Accessibility-Inclusive Vibe Coding: Patterns That Meet WCAG by Default

Learn how Accessibility-Inclusive Vibe Coding integrates AI speed with WCAG compliance. Discover patterns, tools like axe MCP Server, and workflows to build inclusive apps by default.

Self-Supervised Learning for Generative AI: From Pretraining to Fine-Tuning

Self-supervised learning transforms generative AI by leveraging 98% of unlabeled data. Learn how pretraining on puzzles enables powerful models like GPT-4, with real-world enterprise applications and future trends.

Dataset Bias in Multimodal Generative AI: Representation Across Modalities

Explore how dataset bias skews multimodal generative AI, causing underrepresentation and stereotypes across text and images. Learn about detection methods, mitigation strategies like SMOTE and CA-GAN, and the critical research gaps in fairness for Large Multimodal Models.

Logging and Observability for Production LLM Agents: A Practical Guide

Learn how to implement effective logging and observability for production LLM agents. Discover key differences from traditional monitoring, explore AgentTrace, and build a robust technical stack.

Persona and Style Control with Prompts in Large Language Models: A Practical Guide

Learn how to master persona and style control in LLMs using prompt engineering. Discover techniques for role prompting, audience targeting, and voice synthesis to get precise, tailored AI outputs.

Human-in-the-Loop Practices for Safe and Effective Vibe Coding

Discover how human-in-the-loop practices make vibe coding safe and effective. Learn practical steps to integrate oversight into AI-assisted development.

How to Use Agent Plugins and Tools to Supercharge Vibe Coding

Learn how to extend vibe coding capabilities using agent plugins like Cursor and Cline to turn natural language prompts into fully functional software.

Distributed Transformer Inference: Master Tensor and Pipeline Parallelism for LLMs

Learn how to scale LLMs using Tensor and Pipeline Parallelism. Discover how vLLM and llm-d overcome memory limits to run massive models across multiple GPUs.

Multilingual RAG for LLMs: Overcoming Cross-Language Retrieval Hurdles

Explore the challenges of Multilingual RAG, from cross-language retrieval biases to advanced solutions like D-RAG and DKM-RAG for LLMs.

What is Vibe Coding? How AI is Democratizing Software Creation

Discover how vibe coding uses natural language and AI to let anyone build software, from MVPs to microsites, without needing to master complex syntax.