#LLMengineer

[coreaiupskill]

Why stick to one AI tool when today’s innovations demand synergy?

Modern AI development doesn’t rely on a single model or library it thrives on integrated ecosystems.

Here are 8 powerful tools every aspiring AI Engineer should know:

GPT-4 (OpenAI) – Powerful LLM for reasoning, generation, and comprehension

LangChain – Framework to connect LLMs with external data and APIs

DeepSpeed (by Microsoft) – Speeds up training of large models efficiently

AutoGen (Microsoft) – Enables multi-agent conversations and collaborative AI workflows

Hugging Face Transformers – Open-source hub for state-of-the-art NLP models

Runway ML – AI for media creators: image, video, and animation generation

LLM Guard – Secure and sanitize LLM outputs to prevent risks (e.g., prompt injection, PII leaks)

Gradio – Instantly demo AI models with shareable web interfaces

These tools work best together, not in silos.

At School of Core AI we don’t teach tools in isolation. We teach you how to orchestrate them together to build scalable, real-world GenAI apps.

[ianfulgar]

Taking my first real steps in customizing my own AI agent. It needs to sync across multiple devices and still function offline when needed. To build that foundation, I’m starting with a VectorDB on Supabase to handle long-term memory, then connecting it with a Render-hosted engine as the main brain. This is where function meets autonomy—and the architecture begins.