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Lukman Jibril Aliyu

lukmanaj

https://lukmanaj.github.io/

AI & ML interests

AI in healthcare | NLP | Computer Vision

Recent Activity

replied to their post 11 days ago

I’m excited to share that I’ve completed the Hugging Face Agents Course and earned my certificate. Over the past few months, I explored how to build intelligent, autonomous agents using cutting-edge tools like smolagents, LlamaIndex, and LangGraph. The course covered everything from the fundamentals of agents to advanced topics like fine-tuning for function-calling, observability, evaluation, and even agents in games. Some key content included: 1. Introduction to AI Agents 2. Agentic RAG use cases 3. Multi-framework implementation: smolagents, LlamaIndex, and LangGraph 4. Building, testing, and certifying a complete agent project This was a hands-on, practical experience that deepened my understanding of how to design reliable, tool-using LLM agents. Looking forward to leveraging these skills in real-world applications in healthcare, logistics, and beyond. Many thanks to the Hugging Face team for putting this together. Let’s build safe and useful agents!

liked a model 12 days ago

Qwen/Qwen3-235B-A22B

upvoted a collection 12 days ago

Gemma 3 QAT

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lukmanaj's activity

replied to their post 11 days ago

Oh okay.

liked a model 12 days ago

Qwen/Qwen3-235B-A22B

Text Generation • Updated 14 days ago • 108k • • 809

upvoted a collection 12 days ago

Gemma 3 QAT

Collection

Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory • 15 items • Updated 27 days ago • 191

replied to their post 13 days ago

Are we talking about the same course? This is entirely free.

replied to their post 13 days ago

You can find the course here

New activity in agents-course/Unit4-Final-Certificate 14 days ago

Require too much credit to pass 30 points.

#2 opened 20 days ago by

rinabuoy

posted an update 14 days ago

Post

2178

I’m excited to share that I’ve completed the Hugging Face Agents Course and earned my certificate.

Over the past few months, I explored how to build intelligent, autonomous agents using cutting-edge tools like smolagents, LlamaIndex, and LangGraph. The course covered everything from the fundamentals of agents to advanced topics like fine-tuning for function-calling, observability, evaluation, and even agents in games.

Some key content included:

1. Introduction to AI Agents

2. Agentic RAG use cases

3. Multi-framework implementation: smolagents, LlamaIndex, and LangGraph

4. Building, testing, and certifying a complete agent project

This was a hands-on, practical experience that deepened my understanding of how to design reliable, tool-using LLM agents. Looking forward to leveraging these skills in real-world applications in healthcare, logistics, and beyond.

Many thanks to the Hugging Face team for putting this together.
Let’s build safe and useful agents!