Category: LLM
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KV Cache Optimization: 3x Faster LLM Inference on 24GB VRAM
Learn KV cache optimization techniques to achieve 3x faster LLM inference with quantization, MQA, and PagedAttention on consumer GPUs with limited VRAM.
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LLM Memory Calculator: Online Estimators Miss 40% Usage
Calculate LLM memory needs accurately. Why online tools fail at KV cache estimation and how to fix it with real GPU profiling methods.
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LangChain vs LlamaIndex: 1M Document Query Speed Test
LangChain hit 47s query latency at 1M documents while LlamaIndex stayed under 100ms. Here's the architectural difference that causes this 500x gap.
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RLHF vs DPO: Training Cost Drops 68% in Real Migration
RLHF to DPO migration cut our 7B model training cost from $12.4K to $3.95K. Here's what broke, what worked, and the one dataset bug that tanked accuracy.
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Chain-of-Thought vs Few-Shot: 34% Accuracy Gap on GSM8K
Compare Chain-of-Thought vs Few-Shot prompting on GSM8K math benchmarks. Discover which technique drives the 34% accuracy gap and when to use each.
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Speculative Decoding vs MoE: 3.2x Cost Gap on Llama 3
Compare Speculative Decoding vs MoE on Llama 3. Discover why one costs 3.2x more and which inference optimization truly delivers better value.
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RAG vs Fine-Tuning vs Hybrid: Cost-Performance for 3 Use Cases
Compare RAG vs Fine-Tuning vs Hybrid approaches for Q&A, summarization, and code generation. See which method wins on cost and performance.