#llm Development Tutorials & Tips | Roast Dev

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Hybrid Search: Combining Dense and Sparse Vectors for Superior Search Results

Search technology has evolved dramatically in recent years, moving beyond simple keyword matching to embrace sophisticated vector-based approaches. Among these innovations, hybrid search—combining d...

22.04.2025 0 Read More

Picture annotation with Docling

Use docling built-in features to make picture annotation.Introduction Picture annotation, a crucial task in various computer vision applications (among others…😉), involves adding descriptive labe...

22.04.2025 0 Read More

Flatten Your Repo for AI in Seconds with RepoSnap

Shoving 50 k lines of code into ChatGPT? RepoSnap flattens the whole thing into one prompt‑ready file in < 10 s. Below I show exactly how it works—and why you can ditch those brittle Bash s...

22.04.2025 0 Read More

An L-MM for LLM Agents

I've been building agentic apps for some large Fortune 500 companies (T-Mobile, Twilio, etc.) and developed a mental model that serves as a practical guide in building agentic apps: separate the high-...

22.04.2025 0 Read More

Build the Smartest AI Bot You’ve Ever Seen — A 7B Model + Web Search, Right on Your Laptop

Summary: RAG Web is a Python-based application that combines web search and natural language processing to answer user queries. It uses DuckDuckGo for retrieving web search results and a Hugg...

22.04.2025 0 Read More

Introducing Postgres MCP Server: Query Your Database in Plain English with AI

Have you ever wished you could just ask your database a question, without writing SQL?"Show me the average salary by department." "List employees in New York earning over $80K." "Plot monthly sales tr...

22.04.2025 0 Read More

Say it, Send it: How I Built an Autonomous Email Agent with Fetch.ai + ASI1

🚀 Introduction Imagine you could just tell an AI assistant to “email my colleague about the rescheduled meeting” — and it just… does it. No switching apps, no typing out messages, ...

23.04.2025 0 Read More

Building an FIA Formula 1 Financial Regulations Chatbot with AWS S3, Kendra and Bedrock

This project was inspired by Mark Tinderholt’s post on creating a JFK assassination chatbot using the JFK files. You can find it Here. As a Formula 1 fan, I wanted to understand the sport’s comple...

23.04.2025 0 Read More

Bringing Function Calling to DeepSeek Models on SGLang

If you’ve worked with large language models (LLMs) in production, you’ve probably heard of SGLang — an open-source platform designed for serving LLMs and vision-language models at scale. With ov...

23.04.2025 0 Read More

## 🚀 Building DeepThink – My Beginner AI Chatbot Project

🚀 Building DeepThink – My Beginner AI Chatbot Project Hey devs 👋I'm currently building DeepThink, a beginner-friendly AI chatbot project that I'm really excited about! 🎯 Check it o...

23.04.2025 0 Read More

Hybrid Search: Combining Dense and Sparse Vectors for Superior Search Results

Picture annotation with Docling

Flatten Your Repo for AI in Seconds with RepoSnap

An L-MM for LLM Agents

Build the Smartest AI Bot You’ve Ever Seen — A 7B Model + Web Search, Right on Your Laptop

Introducing Postgres MCP Server: Query Your Database in Plain English with AI

Say it, Send it: How I Built an Autonomous Email Agent with Fetch.ai + ASI1

Building an FIA Formula 1 Financial Regulations Chatbot with AWS S3, Kendra and Bedrock

Bringing Function Calling to DeepSeek Models on SGLang

## 🚀 Building DeepThink – My Beginner AI Chatbot Project

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