Llama 3.1

Learn how prefix-aware routing on Amazon SageMaker Inference slashes time-to-first-token by caching KV states for shared prompt prefixes.

The AI ecosystem is mirroring the 2015 container wars. As open-weight models like Llama, Qwen, and DeepSeek-V3 reach frontier-level performance, the center of gravity is shifting from proprietary APIs to an open, customizable substrate. Learn why developers must adapt now.

Hugging Face CEO Clem Delangue explains the massive shift from closed-source 'rented' APIs to open-source 'owned' AI infrastructure, and what it means for the future of enterprise development.

A deep dive into Module 1 of LLM Zoomcamp 2026, covering the transition from basic Retrieval-Augmented Generation to autonomous Agentic RAG using Llama 3.1 and minsearch.

Discover how to deploy and run large language models locally using Ollama. Learn to use its OpenAI-compatible API for private, cost-effective, and high-performance AI development.

A comprehensive technical guide on deploying 11 specialized AI agents on NVIDIA DGX Spark hardware to create automated revenue streams through content, software, and consulting.

Meta is accelerating its custom silicon roadmap with four new MTIA chips designed to optimize Llama inference and recommendation rankings, reducing reliance on NVIDIA while cutting long-term operational costs.

A comprehensive technical guide on setting up local LLMs, optimizing hardware requirements, and implementing private AI workflows using tools like Ollama and Llama 3.1.

Learn how to deploy and manage Large Language Models locally using Ollama and integrate them into Python applications for privacy-focused, cost-effective AI development.

Arcee AI, a startup with only 30 employees, has launched Trinity, a 400-billion-parameter open-source model designed to compete with Meta's Llama 3.1 405B.

A comprehensive guide to setting up a 100% local, private AI station using Llama 3.1, Ollama, and Open WebUI with Docker for maximum privacy and performance.

Learn how to deploy a high-performance, low-latency voice agent locally using Whisper, Llama 3.1, and Kokoro, with a focus on CPU and GPU optimization.