![LoRA/QLoRA—Explained From a Business Lens](/content/images/size/w100/2024/12/LoRA.png)
![LoRA/QLoRA—Explained From a Business Lens](/content/images/size/w100/2024/12/LoRA.png)
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![A Crash Course on Building RAG Systems – Part 6 (With Implementation)](/content/images/size/w100/2024/12/RAG_building-1.png)
A Crash Course on Building RAG Systems – Part 6 (With Implementation)
A deep dive into building multimodal RAG systems on real-world data (with implementation).
![Building a RAG app using Llama-3.3](/content/images/size/w100/2024/12/llama-3.3-RAG.png)
![Intro to ReAct (Reasoning and Action) Agents](/content/images/size/w100/2024/12/React-agents.gif)
![[Hands-on] Building a Llama-OCR app](/content/images/size/w100/2024/12/Screenshot-2024-12-13-at-2.03.11-AM.png)
[Hands-on] Building a Llama-OCR app
...using Llama-3.2-vision model and Streamlit.
![[Hands-on] Building a Real-Time AI Voice Bot](/content/images/size/w100/2024/12/772e651f-02b6-44f9-a1ac-0d8692a3477d_2054x860.gif)
[Hands-on] Building a Real-Time AI Voice Bot
...AssemblyAI + OpenAI + ElevenLabs.
![A Crash Course on Building RAG Systems – Part 5 (With Implementation)](/content/images/size/w100/2024/12/RAG_building.png)
A Crash Course on Building RAG Systems – Part 5 (With Implementation)
A deep dive into key components of multimodal systems—CLIP embeddings, multimodal prompting, and tool calling.