Category
AI Cost & Efficiency
Fewer tokens, cheaper APIs, local alternatives with real numbers
// 4 articles filed
// FIG. CAT-AI-C
PristrenPristrenFewer tokens, cheaper APIs, local alternatives with real numbers
// 4 articles filed
Three fast, cheap inference platforms for open source LLMs. Groq is the fastest, Together AI has the broadest model selection, Fireworks specializes in production-grade function calling.
Mahmudul Haque Qudrati
CEO & ML Engineer
Quantization reduces model weight precision from FP32 to INT4, cutting memory and compute by 4-8x. Q4_K_M is the sweet spot for most use cases — near full quality at a fraction of the size.
Mahmudul Haque Qudrati
CEO & ML Engineer
Flash Attention rewrites transformer attention to be IO-aware, reducing memory from O(n²) to O(n). It enables 128k context windows and cuts training costs by 2-4x. Here is how it works.
Mahmudul Haque Qudrati
CEO & ML Engineer
Speculative decoding uses a small draft model to predict multiple tokens ahead, then verifies them with the large model in one parallel pass. The result is 2-3x faster inference with bit-identical output quality.
Mahmudul Haque Qudrati
CEO & ML Engineer
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