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⚡ AI Lessons

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
2h ago
Aula 1 Mini Curso IA — Primeiro contato com IA (Python, Langchain, FastApi e Gemini)
Desde que esse tema virou o mais hypado do LinkedIn e das empresas, eu não queria ser mais um comparando LLMs ou até mesmo vendendo… Continue reading on Medium
Medium · Python
🧠 Large Language Models
⚡ AI Lesson
4h ago
Why Small Language Models Deserve More Attention
Running a 70B model in production can be expensive, slow, and, for many tasks, unnecessary. Continue reading on Medium »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
10h ago
A Plain English Guide to KV Cache of LLM Engineering
Imagine you are the newest member of a long panel discussion that has been going on for hours. Every time it becomes your turn to speak… Continue reading on Med
Medium · Python
🧠 Large Language Models
⚡ AI Lesson
13h ago
Mistral AI ile Yapılandırılmış Çıktı Nasıl Elde Edilir (2026)
Merhaba, Bugün Sizlere Mistral AI ile nasıl yapılandırılmış çıktı üretebileceğinizi göstereceğim Continue reading on Medium »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
1d ago
Your LangChain Agent Shouldn’t Read Everything: Give It RAG
My briefing agent could tell me how many stories it fetched. It could not tell me the score. Continue reading on Medium »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
2d ago
How LLM Tool Calling Works and What Breaks When You Ship It
I’ve been building a production autonomous coding agent for which you just describe what you need, and it writes the code and opens a… Continue reading on Artif

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
1w ago
Building FinDocIQ: How I Built an End-to-End Financial RAG Assistant with Qwen2.5,
A deep dive into parsing SEC 10-Q reports, fine-tuning LLMs with LoRA, and containerizing a production-ready RAG pipeline. Continue reading on Medium »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
1w ago
Why AI Responses Get Worse in Long Chats (And How AI Engineers Avoid It)
Your AI isn’t getting worse. It’s running into an engineering trade-off almost nobody thinks about. Continue reading on Towards AI »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
1w ago
How I built a free deepfake detector that works directly from social media URLs
I built [KweliAI](https://kweliai.com) — a free tool that checks whether images and videos on social media are real, AI-generated, or… Continue reading on Mediu

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
1w ago
LLM Series Chapter 02: Evolution of NLP - From Rule-Based Systems to Large Language Models
Natural Language Processing (NLP) has evolved over several decades, driven by one fundamental objective, enabling computers to understand… Continue reading on M

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
2w ago
Swapping the LLM Without Touching the Agents to AWS Bedrock
Part 3 of a series. Part 2 covered deploying a stateful LangGraph pipeline to AWS — ECS Fargate, Terraform, the HITL state problem, and… Continue reading on Med

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
2w ago
The Day We Made Google’s TPU Explode (Metaphorically) With Quantum Chaos
Hey guys! So, if you’ve been following my tech rants for a while, you probably remember that post where I confidently claimed that quantum… Continue reading on

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
2w ago
21 Days of LLMs, Day 4: Temperature, Top-P, and the Parameters You’re Ignoring
Most developers copy temperature=0.7 from a tutorial and never touch it again. That’s not engineering. That’s guessing. Continue reading on Medium »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
2w ago
Build, Observe, Fix: A LangChain Agent Walkthrough
Last week my morning news agent lied to me. Continue reading on Medium »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
3w ago
Getting Started with Microsoft Foundry Local: Running AI Models Without the Cloud
My journey of setting up Microsoft Foundry Local, running my first local AI model, and starting a fully local RAG assistant. Continue reading on Medium »
Medium · Python
🧠 Large Language Models
⚡ AI Lesson
3w ago
Creating Token Embeddings in PyTorch: The First Trainable Layer of a GPT Model
Token IDs are just labels. The embedding layer transforms those labels into dense vectors that the transformer can actually learn from. Continue reading on Medi

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
3w ago
I Added Observability to My AI PR Agent and It Was Silently Failing the Whole Time
Recon auto-generates PR descriptions using Groq’s Llama 3.3 and updates a Cognee knowledge graph based on how much developers rewrite them… Continue reading on

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
3w ago
How to Fine-Tune an LLM
Fine-tuning is powerful — but it is not always the right answer Continue reading on Medium »
Medium · Python
🧠 Large Language Models
⚡ AI Lesson
3w ago
Building a Custom GPT / Chatbot for Your Own Use Case
“Build a chatbot” means different things depending on what you actually need. Continue reading on Medium »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
3w ago
Four Python Libraries That Killed Most of My LLM Boilerplate in 2026
Sometime last spring I opened a file in one of our services called llm_client.py Continue reading on Python in Plain English »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
3w ago
The 30,000 LKR AI Setup: Running Ornith 9B and VS Code Locally
How to Install and Run the Ornith 9B Local LLM on an Older Laptop Continue reading on Medium »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
4w ago
LangChain Prompts in Depth: Templates, Few-Shot Examples, and Versioning That Survives Production
A practitioner’s guide to PromptTemplate, few-shot prompting, and treating prompts like versioned code in LangChain 1.0 Continue reading on Medium »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
4w ago
Getting Started with Docling!
Tentative Continue reading on Medium »

Medium · Python
🧠 Large Language Models
⚡ AI Lesson
4w ago
The Government Just Put a Lock on GPT-5.6. This Changes Everything.
OpenAI dropped its most powerful model on June 26. You can’t use it. Here’s what that actually means for developers and the future of AI… Continue reading on Ar
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