#llm Development Tutorials & Tips | Roast Dev

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Selecting Embedded LLM AI: Points to Consider

Embedded, LLM-based AI agents are quickly evolving and gathering interest from every major industry, but the effectiveness of these agentic AI edge devices varies widely based on the hardware and soft...

28.04.2025 0 Read More

Configuring your own deep research tool (Using Nix Flakes)

So, you've come across deep search tools and are wondering if you can build your own. Well, you certainly can! Building one yourself might involve tasks like scraping web URLs, implementing your own R...

28.04.2025 0 Read More

Qwen3: The Next Evolution in AI Language Models

May 3, 2025 · 8 min readQwen3 has officially launched, bringing an impressive new suite of language models that push the boundaries of AI capabilities. The newly released Qwen3 family represents a si...

28.04.2025 0 Read More

Baidu's ERNIE X1 Turbo and 4.5 Turbo: Faster, Cheaper, and More Powerful for Developers

Baidu has just raised the bar with the launch of ERNIE X1 Turbo and ERNIE 4.5 Turbo — two AI models designed for faster performance, lower costs, and advanced multimodal capabilities.In our latest b...

28.04.2025 0 Read More

Evaluación de Modelos en Amazon Bedrock: El Arte de la Selección Inteligente. Parte 2.

En la primera parte de este artículo, exploramos cómo Amazon Bedrock ha revolucionado la integración de la inteligencia artificial generativa en proyectos empresariales y personales.La expansión d...

28.04.2025 0 Read More

Large Language Models are Wrong

Imagine you move into an apartment building and you get assigned the new person spot on the lowest level of a garage that had the building developer been a more compassionate human would have made the...

28.04.2025 0 Read More

Build local MCP server or Remote MCP

If you’re still running your MCP server locally, it’s time to level up. Here’s why building a remote, serverless MCP (especially on TRMX is a game-changer compared to local setups:Local MCP: Qui...

29.04.2025 0 Read More

🚀 Smarter Google ADK Prompts: Inject State and Artifact Data Dynamically Placeholders

If you're building AI agents using Google's Agent Development Kit (ADK), you might have asked: "How can I make my agent prompts context-aware without hardcoding a ton of data?" Good news — while exp...

29.04.2025 0 Read More

Building Smarter Local AI Agents with MCP: A Simple Client-Server Example

In today's AI landscape, enabling a Local LLM (like Llama3 via Ollama) to understand user intent and dynamically call Python functions is a critical capability.The foundation of this interaction is Mo...

29.04.2025 0 Read More

EventSource vs Async Generator - What to Use for LLM Streaming?

When it comes to consuming streaming responses in the browser, especially from Server-Sent Events (SSE), two main approaches emerge: Using the native EventSource API Using fetch with an async generato...

29.04.2025 0 Read More

Selecting Embedded LLM AI: Points to Consider

Configuring your own deep research tool (Using Nix Flakes)

Qwen3: The Next Evolution in AI Language Models

Baidu's ERNIE X1 Turbo and 4.5 Turbo: Faster, Cheaper, and More Powerful for Developers

Evaluación de Modelos en Amazon Bedrock: El Arte de la Selección Inteligente. Parte 2.

Large Language Models are Wrong

Build local MCP server or Remote MCP

🚀 Smarter Google ADK Prompts: Inject State and Artifact Data Dynamically Placeholders

Building Smarter Local AI Agents with MCP: A Simple Client-Server Example

EventSource vs Async Generator - What to Use for LLM Streaming?

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