#llm Development Tutorials & Tips | Roast Dev

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Semantic search alone won't solve relational queries in your LLM retrieval pipeline.

We’ve examined and built multiple RAG systems, and here's the hard truth: semantic search alone fails when queries demand relational depth. Sure, vector embeddings excel at similarity—but they stu...

12.03.2025 0 Read More

Gem-Assist: Your Command-Line Personal Assistant

Hey everyone! I wanted to share a project I've been working on called Gem-Assist. It's a command-line personal assistant that integrates both proprietary and local models to provide access to over 30+...

12.03.2025 0 Read More

🧑‍💻AI Calendar🗓️Agent in 7 minutes! 🔥

Hi Buddy! Welcome to a quick tutorial on building an AI Calendar agent that will allow you to create calendar events using Semantic Kernel, Google Calendar APIs & Open API (model GPT 4o).This will...

12.03.2025 0 Read More

Revolutionizing LLM Development: LangWatch - Your All-in-One LLM Ops Platform

Quick Summary: 📝 LangWatch is an LLM Ops platform designed to monitor, experiment with, and optimize LLM pipelines. It offers features such as a drag-and-drop optimization studio, quality ...

12.03.2025 0 Read More

Comparing AI Models by Generating Apps Script Code

In expanding the scope of what developer relations means, I sought to find the shortcomings of AI in writing code, specifically Google Apps Script. jpoehnelt / ...

12.03.2025 0 Read More

Introducing SynTeam Framework: Structured Prompt Templates for GPT

🧠 Template Architecture for Structured GPT Intelligence: SynTeam Framework Introduction The SynTeam Framework was created to transform large language models (LLMs) like ChatGPT fr...

05.05.2025 0 Read More

How to Build a Second Brain with LLMs and Vector Search (Using Pinecone + GPT-4)

If you've ever wished your notes could talk back to you intelligently — or if you're buried under documents, ideas, and to-dos — building a "Second Brain" using LLMs and vector databases might be ...

05.05.2025 0 Read More

💡 TinyLlama Meets LoRA: A Lightweight Approach to Emotion Classification

I’m excited to share my journey of fine-tuning TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T, a compact 1.1 billion parameter language model, using Low-Rank Adaptation (LoRA) to classify emoti...

05.05.2025 0 Read More

AI Isn’t My Pair Programmer. It’s My Intern. And It Has to Pass My Tests.

"Vibe coding" is fun until you have to maintain the code.Tools like Cursor, Windsurf, and Copilot make it feel like you're going really fast: just describe what you want, hit tab a few times, and watc...

05.05.2025 0 Read More

How to Install Nari Dia 1.6 B Locally?

Dia 1.6B by Nari Labs is a cutting-edge text-to-speech model built to transform transcripts into highly realistic, emotionally rich audio dialogues. Unlike traditional models, Dia is designed with ver...

05.05.2025 0 Read More

Semantic search alone won't solve relational queries in your LLM retrieval pipeline.

Gem-Assist: Your Command-Line Personal Assistant

🧑‍💻AI Calendar🗓️Agent in 7 minutes! 🔥

Revolutionizing LLM Development: LangWatch - Your All-in-One LLM Ops Platform

Comparing AI Models by Generating Apps Script Code

Introducing SynTeam Framework: Structured Prompt Templates for GPT

How to Build a Second Brain with LLMs and Vector Search (Using Pinecone + GPT-4)

💡 TinyLlama Meets LoRA: A Lightweight Approach to Emotion Classification

AI Isn’t My Pair Programmer. It’s My Intern. And It Has to Pass My Tests.

How to Install Nari Dia 1.6 B Locally?

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