AI Tutorials
How to Fine-Tune Qwen2.5-7B on a 16GB GPU Using QLoRA
Learn how to use QLoRA to shrink a 7B parameter model from 15GB to 5.4GB, enabling fine-tuning on consumer-grade 16GB GPUs like the NVIDIA T4.
Read more →
AI-TUTORIALS
Explore our entire collection of insights, tutorials, and industry news.
- AI Tutorials
Building an Agentic RAG System from Scratch: Lessons from LLM Zoomcamp 2026
A deep dive into Module 1 of LLM Zoomcamp 2026, covering the transition from basic Retrieval-Augmented Generation to autonomous Agentic RAG using Llama 3.1 and minsearch.Read more → - AI Tutorials
Optimizing 96GB VRAM for Local LLMs vs Paid APIs: A Technical Comparison
A deep dive into the technical and economic realities of running 4x RTX 3090s for local LLM inference versus utilizing high-performance LLM APIs.Read more → - AI Tutorials
How Much VRAM for Gemma 4? Comprehensive Requirements Guide
A detailed technical breakdown of VRAM requirements for all Google Gemma 4 variants, including quantization impacts and hardware recommendations for developers.Read more → - AI Tutorials
9 Battle-Tested Tactics to Cut Your LLM API Bill
Discover nine high-leverage strategies to reduce LLM infrastructure costs by 50-90% without sacrificing quality, including semantic caching, model cascading, and prompt compression.Read more → - AI Tutorials
GLM-5.2: MIT-Licensed 1M-Context Model for Coding Agents
Z.ai releases GLM-5.2, a groundbreaking open-weight model with a 1-million-token context window and an MIT license, specifically optimized for coding agents and long-horizon tasks.Read more → - AI Tutorials
GPU-Resident Top-K for Agentic RAG: Optimizing Retrieval Latency with CUDA Kernels
Discover how building a custom GPU-resident Top-K CUDA kernel eliminates PCIe transfer bottlenecks in Agentic RAG pipelines, delivering microsecond-level retrieval for high-performance LLM applications.Read more → - AI Tutorials
Building a Production-Grade RAG Pipeline for Enterprise Knowledge Bases
A deep dive into the engineering disciplines required to move Retrieval-Augmented Generation (RAG) from a demo to a robust enterprise production environment, focusing on hybrid retrieval, ingestion strategies, and rigorous evaluation.Read more → - AI Tutorials
Gemma 2 Architecture Deep Dive: Achieving Peak Performance Through Efficient Design
An in-depth technical analysis of Google's Gemma 2 architecture, exploring how hybrid attention, knowledge distillation, and GQA enable 27B models to outperform much larger competitors.Read more → - AI Tutorials
Google DiffusionGemma: The End of Autoregressive LLM Bottlenecks?
Google DeepMind's DiffusionGemma introduces discrete text diffusion to replace traditional autoregressive generation, offering 4x faster inference and parallel token processing.Read more → - AI Tutorials
Dify Agentic Workflow Platform: 5 Hidden Uses of the 145K-Star Open Source AI Stack
Explore 5 advanced techniques for Dify, the leading open-source LLM orchestration platform, including workflow-as-code, multi-model routing, and MCP server integration.Read more → - AI Tutorials
Structured Outputs with LLMs: JSON Mode vs Function Calling
A technical guide on achieving reliable, structured data from Large Language Models using JSON Mode, Function Calling, and the latest Structured Output features.Read more →