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Master building a two-node AMD Strix Halo cluster for large language model inference using llama.cpp RPC, featuring 256GB unified memory and performance benchmarks.
Explore building a 64GB VRAM AI workstation with dual AMD Radeon 9700 AI PRO GPUs, covering hardware setup, Linux configuration with ROCm/Vulkan, and LLM performance testing.
Master running Qwen Image and WAN 2.2 locally on Framework Desktop with AMD Strix Halo, covering setup, image/video generation, LoRA adapters, and diffusion model fundamentals.
Discover how to run Microsoft's VibeVoice locally on AMD Strix Halo for natural speech generation, voice cloning from short samples, and multi-speaker conversations with setup guides.
Discover how to run massive language models like Qwen3-235B and GLM 4.5-Air-106B on AMD Strix Halo systems using up to 128GB unified memory with proper kernel configuration and tuning.
Master local LLM finetuning on AMD Strix Halo using full-parameter, LoRA, and QLoRA techniques with Gemma-3, Qwen-3, and GPT-OSS-20B models through hands-on implementation.
Explore Spikee, a powerful tool for evaluating and testing LLM security through prompt injection techniques, benchmarking capabilities, and comprehensive guardrail assessment frameworks.
Master prompt injection testing techniques for LLM applications using Spikee, from creating targeted datasets to executing attacks with Burp Suite Intruder and custom Python scripts.
Explore security vulnerabilities in LLM applications, focusing on browser and coding agents, with practical demonstrations of prompt injection attacks and essential mitigation strategies.
Explore advanced techniques for exploiting vulnerabilities in multi-chain LLM applications, including prompt injection methods, security testing approaches, and essential defensive strategies.
Master techniques for evaluating and ensuring LLM response accuracy in RAG pipelines using tools like gpt4o-mini, Llama-index, RAGAS, and Azure's Groundedness API for reliable AI applications.
Explore OpenAI CLIP's capabilities for zero-shot image classification and similarity, from local implementation using HuggingFace to deployment on Azure AI Studio with practical examples.
Master building LLM agents using PAL and ReAct paradigms, implement custom solutions and Langchain framework, and explore various language models while learning function calling and operational loops.
Delve into critical security vulnerabilities in Microsoft 365 Copilot, exploring prompt injection attacks, potential data breaches, and essential mitigation strategies for enterprise LLM applications.
Explore the architecture and implementation of multi-modal LLMs, focusing on Vision Transformers, contrastive learning techniques, and hands-on experience with Google's PaliGemma.
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