Category: LLM
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Ollama vs llama.cpp: 7B Model Speed on M1 MacBook
Benchmark Ollama vs llama.cpp running 7B models on M1 MacBook. Which framework delivers faster inference? Real performance data inside.
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LLM Context Windows: Why 128K Tokens Break at 50K
Discover why LLM context windows fail before their limits and learn proven techniques to maximize token usage in production applications.
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LangChain to LlamaIndex Migration: RAG Refactor in 5 Steps
Migrate your RAG pipeline from LangChain to LlamaIndex in 5 practical steps. Boost retrieval accuracy and simplify your LLM app architecture.
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LoRA vs QLoRA vs Full Fine-tuning: GPU Memory Benchmarks
Full fine-tuning costs $5/hr on A100. QLoRA drops it to $0.50 on T4 โ with matching accuracy at rank 64. Real memory breakdowns + 47-run benchmark.
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GPT-4 vs Claude 3.5 vs Gemini: MMLU Zero-Shot Accuracy
GPT-4 beats Claude 3.5 by just 1.8% on zero-shot MMLU โ way closer than official benchmarks claim. Real accuracy numbers from 1,000 questions.
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LangChain vs LlamaIndex: RAG Latency on 10K Documents
LangChain vs LlamaIndex on 10K docs: 3x latency gap, 2x memory difference. Real query benchmarks reveal which RAG framework wins.
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MCP Tutorial: Build an AI Tool Server in Python
Learn how to build MCP (Model Context Protocol) servers in Python. Step-by-step tutorial with real code examples for tools, resources, and prompts. The open standard backed by Anthropic, OpenAI, and Google.
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Speculative Decoding: How Medusa and EAGLE Speed Up LLMs
Medusa and EAGLE promise 2-3x LLM speedup via speculative decoding. Test results on LLaMA 2: acceptance rates, memory cost, and when it fails.