Large Language Models Portfolio
My latests articles
VS Code is all you need for AI coding
Explore how Visual Studio Code, powered by GitHub Copilot, is practically the all-in-one environment for AI development.
Generative AI
Generative AI is a subset of artificial intelligence that focuses on creating new content.
Prompt engineering
Prompt engineering is the process of designing and refining prompts to elicit desired responses from Large Language Models.
Fine tuning LLMs
Fine-tuning allows to adapt generalist models into specialists, but is it always the best approach?
LLM quantization
Quantization is a model compression technique that reduces the size and computational requirements of LLMs.
Generative AI 101
Get started with generative AI by reading the beginner-friendly articles recommended for any newcomer to the subject.
Web development and AI news
Web development
Sync Clerk user data to Supabase in real time with webhooks
A guide demonstrating how to synchronize Clerk user data with Supabase in real-time using webhooks.
Native hot module reloading in Node via module hooks
Exploring the implementation of hot module reloading natively in Node.js using module hooks.
Dan Abramov's recent blog posts on RSC and related topics
A collection of recent blog posts from Dan Abramov covering topics like React Server Components, module imports, progressive JSON, and bundler integration.
Gleam compiled to JS is now 30% faster
News about the Gleam language, highlighting a 30% performance increase when compiled to JavaScript.
Beachpatrol: CLI tool to automate web browser
A command-line interface tool built on Playwright for automating interactions with a regular, non-headless web browser instance on macOS and Linux.
Artificial intelligence
The shift towards hybrid and on-device AI processing
The AI industry is moving towards hybrid architectures that combine cloud-based processing with on-device AI acceleration via NPUs, enabling faster, more private, and always-on AI experiences directly on user devices like PCs.
AI models accelerate scientific research and discovery
AI is being applied to scientific domains to analyze complex data, identify patterns, and accelerate research, from dating ancient texts like the Dead Sea Scrolls to developing new biological models and auditing AI systems for truthfulness.
AI assistants and agents enhance software development
New AI tools and agents are emerging to assist developers with coding tasks, bug fixing, feature addition, and workflow automation, aiming to improve efficiency and accelerate the software development lifecycle.
Generative AI integrated into media and video production
AI tools are being increasingly integrated into media and video production workflows, enabling tasks like pre-visualization, generating marketing materials, restyling videos, and creating talking avatars, changing how content is created and edited.
AI models predict health risks from medical data
AI is increasingly being used to analyze medical data, such as mammograms or foot scans, to predict health conditions like breast cancer or heart failure weeks in advance, enabling proactive healthcare interventions.