Category: LLM
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LangChain vs LlamaIndex: Streaming Latency on 50K Docs
Compare LangChain vs LlamaIndex streaming performance on 50K documents. Real benchmarks reveal which framework handles large-scale retrieval faster.
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Stop Using Temperature 0 for LLM Evals: Why It Breaks Benchmarks
Temperature 0 breaks LLM evals by hiding variance and selecting for memorization. Here's why you should sample at 0.5 instead โ with real accuracy gaps.
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Ollama vs llama.cpp vs vLLM: Throughput on M1/RTX 4090
Compare Ollama, llama.cpp, and vLLM throughput on M1 and RTX 4090. Discover which framework delivers the best performance for local LLM inference.
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LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks
LlamaIndex wins 6/10 RAG tasks, but LangChain is faster on agentic workflows. Real benchmark data with codeโsee which framework fits your use case.
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GPT-4o vs Claude 3.5 Sonnet: HumanEval Pass@1 Gap
GPT-4o vs Claude 3.5 Sonnet on HumanEval: Claude wins by 4% in real pass@1 tests. See where each model fails and which to pick for production.
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LLM Tokenization: GPT vs Claude vs Llama Edge Cases
Emojis cost 5 tokens, accented names break budgets, and that 128K context window? Real tests show where GPT, Claude, and Llama tokenizers fail.
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Pinecone vs Qdrant vs Weaviate: RAG Query Speed at 1M Vectors
Qdrant beats Pinecone by 3.2x on 1M vector queries. Real latency numbers, recall comparison, and when each winsโtested on production-scale RAG workloads.
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Ollama vs vLLM vs llama.cpp: Which Wins for Your Use Case
vLLM hits 47x higher throughput than Ollama at 32 concurrent requests. Real benchmarks reveal when each framework wins โ and the memory tradeoffs nobody mentions.