Jun 9, 2026 · Artificial Intelligence

Deep Dive into Core LLM API Parameters

While many newcomers think using an LLM API is as simple as picking a model and feeding a prompt, the real control lies in parameters such as temperature, top‑p, top‑k, max_tokens, penalties, stop, and stream, each of which dramatically influences output quality, length, cost, and behavior.

LLMSamplingapi

0 likes · 21 min read

Ops Development & AI Practice

Apr 4, 2025 · Artificial Intelligence

Decoding LLM Endpoint Features: Quantization, Tokens, and Tool Support Explained

This article breaks down the key endpoint features of large language models—such as quantization, max token limits, streaming cancellation, tool support, and reasoning ability—explaining what each term means, why it matters, and how to choose models wisely for different applications.

AI model evaluationEndpoint FeaturesLLM

0 likes · 11 min read

Decoding LLM Endpoint Features: Quantization, Tokens, and Tool Support Explained