Tech Stories · Luminesca News
AI, semiconductors, data centers and the platforms shaping the next decade.
Whisper vs Deepgram: Speech-to-Text Accuracy Compared in 2026
Whisper and Deepgram, the two leading speech-to-text engines, compared on accuracy, latency, language support, streaming and cost - with benchmarks and a clear pick per use case.
Runway vs Sora: AI Video Generators for Beginners in 2026
Runway and Sora, the two leading AI video generators, compared for beginners - output quality, video length and cost, editing workflow, and practical tips for making usable videos.
Top 10 AI Chrome Extensions in 2026 (Free Picks)
The ten AI Chrome extensions worth installing in 2026 - summarisers, writing assistants, tab and email tools - ranked for usefulness, privacy and free-tier value.
DeepSeek vs Qwen: Chinese Open-Source Models Compared in 2026
DeepSeek and Qwen, the two most-downloaded Chinese open-weight models, compared on performance, licensing, local-running requirements and ecosystem - and what the open-source boom means for developers.
Install Stable Diffusion Locally: 2026 Step-by-Step Guide
A complete beginner guide to running Stable Diffusion on your own computer in 2026 - hardware requirements, one-click installers, model downloads, GPU optimisation and privacy benefits.
Build a Chatbot with LangChain in One Afternoon: A 2026 Tutorial
A hands-on tutorial for building your first RAG chatbot with LangChain - chaining a model, a vector store and your documents into a chatbot that answers from your own knowledge.
Docker for AI: Package Your Model as a Container in 2026
How to containerise AI models and applications with Docker - why it matters for reproducibility, a Dockerfile walkthrough, image optimisation, and GPU support for local inference.
Fine-Tune an LLM on Your Own Data: What You Need to Know in 2026
A practical guide to fine-tuning LLMs - LoRA vs full fine-tuning, dataset preparation, hardware and cost, and when fine-tuning is the right tool instead of prompting or RAG.
Vector Databases Explained: The Engine Behind AI Search in 2026
What vector databases are, how embeddings power semantic search, the leading options compared, and how to choose one for RAG and similarity search in 2026.
Automate Your Inbox with AI: A Practical 2026 Workflow
How to automate email triage, drafting and follow-ups with AI in 2026 - the practical workflow, tool combinations, and the privacy boundaries you should set.