LLMs on Pranav Buradkar

LLMs on Pranav Buradkar https://pranavburadkar.github.io/tags/llms/ Recent content in LLMs on Pranav Buradkar Hugo -- 0.164.0 en-us Sun, 07 Jun 2026 11:00:00 +0530 Building TheBulletin AI: An Autonomous, Bias-Aware News Aggregator https://pranavburadkar.github.io/posts/thebulletin-ai/ Sun, 07 Jun 2026 11:00:00 +0530 https://pranavburadkar.github.io/posts/thebulletin-ai/ An in-depth look at how we built an autonomous news ecosystem that scrapes, clusters, summarizes, and evaluates news bias and truthfulness using Llama 3.3 and pgvector. Building TheBulletin AI: An Autonomous, Bias-Aware News Aggregator https://pranavburadkar.github.io/projects/a/ Sun, 07 Jun 2026 11:00:00 +0530 https://pranavburadkar.github.io/projects/a/ An in-depth look at how we built an autonomous news ecosystem that scrapes, clusters, summarizes, and evaluates news bias and truthfulness using Llama 3.3 and pgvector. A Simple Guide to LLM Serving: Quantization, KV Caching, and Continuous Batching https://pranavburadkar.github.io/posts/understanding-llm-optimization/ Sun, 10 May 2026 10:00:00 +0530 https://pranavburadkar.github.io/posts/understanding-llm-optimization/ Dive into the three key techniques that make serving large language models (LLMs) fast, cheap, and memory-efficient. A Simple Guide to LoRA (Low-Rank Adaptation) https://pranavburadkar.github.io/posts/understanding-lora-fine-tuning/ Fri, 20 Mar 2026 10:00:00 +0530 https://pranavburadkar.github.io/posts/understanding-lora-fine-tuning/ Learn how Low-Rank Adaptation (LoRA) makes fine-tuning massive LLMs and generative models incredibly efficient.