Large Language Models

A complete beginner-to-intermediate guide — how pretraining works, what fine-tuning means, and how to do it in practice with Hugging Face. Continue reading on M

Continue reading on Medium »

First Name Chat — How to Make ChatGPT Sing the Chant! Continue reading on Medium »

Flat vector search was a great start, but anyone who has tried to answer multi-hop questions or track entity relationships across a large… Continue reading on M

Stop hitting Claude AI usage limits. Proven tips to maximize Claude Pro or Max subscription, save tokens, and boost productivity in 2026. Continue reading on To

A few days ago I stumbled into that “wait, why didn’t we think of this earlier?” feeling. You know the one. Continue reading on Medium »

Or in other words: how do you contain a technology that evolves at a frantic pace and whose inner workings already escape the full… Continue reading on Medium »

Artificial intelligence can feel overwhelming because many concepts are connected: NLP, machine learning, embeddings, transformers, LLMs… Continue reading on Me

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

You don’t need a computer science degree to understand AI. You need the right analogy and about 8 minutes. Continue reading on Towards AI »

After trying time and again, with what I now recognize as a sort of blind approach to LLM workflow automation, I kept landing on the same… Continue reading on M

The project I am working on is LibreChat, hooked up to a handful of MCP servers (Jira, Confluence, Slack, and so on). Many colleagues like… Continue reading on

This April 18, 2026, we stand on the brink of an extraordinary technological revolution. From groundbreaking advancements in quantum… Continue reading on Medium

A technical exploration of sarcasm detection using transformers, contextual embeddings, and large language models. Continue reading on Medium »

A technical exploration of sarcasm detection using transformers, contextual embeddings, and large language models. Continue reading on Medium »

A technical exploration of sarcasm detection using transformers, contextual embeddings, and large language models. Continue reading on Medium »

AI is no longer a side experiment, a sandbox project, or something “nice to have.” It’s quietly becoming the backbone of how modern… Continue reading on Medium

Lessons from building a clinical voice agent that handled thousands of patients. Continue reading on Medium »

Urdu is spoken by 175 millions of people worldwide and carries rich cultural, literary, and historical importance. Continue reading on Medium »

Most developers treat JSON as an afterthought when building LLM-powered apps. They dump raw API responses into prompts and wonder why the model hallucinates, mi

Update to llm-anthropic 0.25 to access Claude Opus 4.7 with xhigh thinking_effort for tackling your most challenging code problems. What Changed — llm-anthropic

How a hackathon changed everything I thought I knew about myself Continue reading on Medium »

Moving from rigid HTML selectors to semantic, LLM-ready extraction. Continue reading on Medium »

Photo by RODOLFO BARRETTO on Unsplash Continue reading on Medium »

Photo by RODOLFO BARRETTO on Unsplash Continue reading on Medium »

The AI boom isn’t a future prediction — it is our current reality. As we move further into 2026, the gap between the demand for AI talent… Continue reading on M

The AI boom isn’t a future prediction — it is our current reality. As we move further into 2026, the gap between the demand for AI talent… Continue reading on M

Learn how an AI assistant infuses AI into the IDE environment — and what this means for your data analysis choices Continue reading on Medium »

Anthropic’s latest release trades loose generalization for predictable execution, and it’s about to break your lazy prompts. Continue reading on Towards AI »

In Part 1, I dissected how ChatGPT, Claude, Gemini, and Perplexity generate inline citations, and ended with a prompt that gets models to… Continue reading on M

AI conversations are everywhere, with good reason. Influencers, experts and policy makers alike are wading through the extreme complexity… Continue reading on M

A weekly curated update on data science and engineering topics and resources. Continue reading on Medium »

BitNet is a neural network framework where weights are constrained to {-1,0,1} instead of storing weights in floating point numebrs like… Continue reading on Me

Training a powerful model is only half the story. The real engineering challenge is serving it at scale — without burning your GPU budget… Continue reading on M

Facing ChatGPT to Gemini transfer errors, broken formatting, or missing context? Here’s a simple guide to fix import issues and move your… Continue reading on M

ในบทความนี้ เราจะเริ่มเจาะลึกความสามารถที่ “ทรงพลังที่สุด” อย่างหนึ่งของ LangGraph นั่นคือ Conditional Edge หรือการที่ Flow ของโปรแกรม… Continue reading on Medi

It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. Continue reading on Medi

Introduction Continue reading on Medium »

TL;DR, just give me the code Continue reading on Medium »

You're shipping an AI-powered feature, the demo looks great, and then the invoice arrives. Suddenly that clever summarization endpoint is costing you $400/day b

If you’ve spent any time near the backend of an AI application recently, you’ve heard the same three letters shouted from the rooftops… Continue reading on Medi

Is Ego Necessary for Evolution? Continue reading on Medium »

It is called the Caveman Skill. It makes Claude talk like a caveman. And it is one of the most useful things I have added to my AI… Continue reading on Generati

A practical, example-driven guide to writing prompts that actually work — from someone who’s built production AI systems. Continue reading on Medium »

13 zones d'instabilité Continue reading on Medium »

Okay, real talk. I have a bookmarks folder called “Read Later” with so many links in it. I have not read later. Not even close. Continue reading on Medium »