The article explains how sampling parameters—Temperature, Top‑k, and Top‑p—shape the output of large language models, comparing greedy and beam search, illustrating probability changes with concrete examples, and offering practical guidance on adjusting these settings for different tasks.
This article explains how the key LLM parameters—Temperature, Top‑K, Top‑P, and MaxOutputTokens—affect randomness, creativity, candidate selection, and output length, and provides practical guidance on tuning them for different AI text generation tasks.
This article explains how to efficiently find the k most frequent elements in an integer array using a bucket‑sort based algorithm that runs in linear O(n) time, detailing problem constraints, conventional O(n log n) approaches, the optimized method, Go implementation, complexity analysis, and test results.
This article explains core concepts and practical solutions for handling massive datasets that cannot fit into memory, covering batch processing, distributed sorting, bitmap indexing, hash‑based lookups, top‑K extraction, and deduplication techniques with code examples and multi‑machine strategies.
The article explains how generative models use deterministic methods like greedy and beam search and stochastic techniques such as top‑k, top‑p, contrastive search and sampling, describing their mechanisms, temperature control, repetition penalties, and practical trade‑offs for balancing fluency, diversity and coherence.
This article reviews recent advances in applying reinforcement learning to recommendation systems, explains the fundamental RL concepts, discusses the specific challenges such as large action spaces, bias, and long‑term reward modeling, and summarizes two influential YouTube papers along with practical insights and future directions.
This article explores practical algorithms for sorting, de‑duplicating, and extracting top‑K records from massive data sets, covering bitmap techniques, external sorting, hash‑based counting, min‑heap selection, divide‑and‑conquer, Bloom filters, and distributed processing strategies.
