#llm Development Tutorials & Tips | Roast Dev

100daysofcode 100daysofdevops 100pay 10mistakes 10yearworkanniversary 11 11labs 11tly 11ty 127001

My LLM Code Generation Workflow (for now)

tl:dr; Brainstorm stuff, generate a readme, plan a plan, then execute using LLM codegen. Discrete loops. Then magic. ✩₊˚.⋆☾⋆⁺₊✧My steps are: Step 1: Brainstorming with a web search-e...

11.04.2025 0 Read More

🚀 LLMs are getting huge. But do we need all that firepower all the time?

Welcome to the world of Mixture of Experts (MoE) — where only the smartest parts of your model wake up for a task.Imagine this: 🧠 Ask a math question → the math expert jumps in 🎨 Ask about a...

11.04.2025 0 Read More

The Evolving Landscape of LLM Training Data

Read more of my articles on Alibaba Cloud blog Introduction Datasets are the lifeblood of artificial intelligence, especially in training large language models (LLMs) that power everything fro...

11.04.2025 0 Read More

AI in the Clinical Arena: Llama 4 Scout vs Claude 3.7 Statistical Showdown

Introduction As artificial intelligence advances, there is growing interest in evaluating how different AI models perform in specialized domains like clinical trial statistics. This article c...

11.04.2025 0 Read More

Breaking the Bottleneck: Overcoming Scalability Hurdles in LLM Training and Inference

As large language models (LLMs) grow in complexity, the infrastructure supporting their training and inference struggles to keep pace. This article explores the critical challenges of network bottlene...

11.04.2025 0 Read More

Train Your Own LLM: A Deep Dive with Ruby

Author: Davide Santangelo www.davidesantangelo.comThe landscape of Artificial Intelligence (AI) is increasingly dominated by Large Language Models (LLMs), powerful systems capable of understanding and...

11.04.2025 0 Read More

How Retrieval-Augmented Generation Is Changing the AI Game

Ever wondered how ChatGPT could suddenly tell you about yesterday's football scores? Or how your company's AI assistant knows about that internal policy update from last week? The secret sauce is prob...

11.04.2025 0 Read More

When Your AI Agent Lies to You: Tackling Real-World LLM Hallucinations

Overview We @ Connectly AI have been deep in the weeds of building sales and customer support conversational AI since the dawn of the ChatGPT era. After developing AI agents in production, in...

11.04.2025 0 Read More

Build Function-Calling Agents in Node.js with Agentic

Building applications powered by Large Language Models (LLMs) is exciting, but making them truly useful often means giving them access to the real world – fetching live data, calling APIs, interacti...

11.04.2025 0 Read More

🚀 Welcome to the Era of "1 LLM per Dev Environment" with Docker Model Runner

Quick Summary Docker Model Runner lets you spin up LLMs like Docker containers. One command: docker model run does it all. No need for manual server code or dependency setup. Automatically ...

11.04.2025 0 Read More

My LLM Code Generation Workflow (for now)

🚀 LLMs are getting huge. But do we need all that firepower all the time?

The Evolving Landscape of LLM Training Data

AI in the Clinical Arena: Llama 4 Scout vs Claude 3.7 Statistical Showdown

Breaking the Bottleneck: Overcoming Scalability Hurdles in LLM Training and Inference

Train Your Own LLM: A Deep Dive with Ruby

How Retrieval-Augmented Generation Is Changing the AI Game

When Your AI Agent Lies to You: Tackling Real-World LLM Hallucinations

Build Function-Calling Agents in Node.js with Agentic

🚀 Welcome to the Era of "1 LLM per Dev Environment" with Docker Model Runner

#reading

#popular