Shaamil Karim

Segment Anything Model 2 (SAM 2) offers real-time segmentation power. This guide walks you through running it efficiently on Runpod’s cloud GPUs.

Learn how to deploy Meta's powerful open-source Llama 3.1 405B model using Ollama on Runpod. With benchmark-crushing performance, this guide walks you.

RAG and fine-tuning are two powerful strategies for adapting large language models (LLMs) to domain-specific tasks. This post compares their use cases.

Retrieval-Augmented Generation (RAG) and fine-tuning are powerful ways to adapt large language models. Learn the key differences, trade-offs, and when to.

Runpod and Defined.ai launch a pilot program to provide startups with access to high-quality training data and compute, enabling sector-specific.

Learn how to deploy Meta's Llama 3.1 8B Instruct model using the vLLM inference engine on Runpod Serverless for blazing-fast performance and scalable AI.