LLaMA Programming Tutorials & Engineering Articles

The article discusses Shopify's Global Catalogue, which utilizes multimodal Large Language Models (LLMs) to standardize and enrich product data across its platform.

The article discusses the operational challenges of deploying large language models (LLMs) and introduces LLMOps as a framework for managing their lifecycle.

Stanford University researchers developed an LLM system called STARA to streamline legal research by identifying redundant and outdated laws.

The article discusses the transformative role of domain-adapted large language models (LLMs) with reasoning capabilities in accelerating battery research.

The article discusses the evolution of product classification at Shopify, detailing the transition from basic categorization to a comprehensive understanding of products using Vision Language Model...

The article discusses Liger-Kernel, an open-source library designed to enhance GPU efficiency for training large language models (LLMs).

This article discusses the implementation of Ray Batch Inference at Pinterest, highlighting its advantages over previous solutions like Apache Spark and Torch Dataloader.

The article discusses the Llama 3. 1 collection of large language models (LLMs) and their applications in enterprise settings.

The article discusses the deployment of LoRA (Low-Rank Adaptation) fine-tuned models using NVIDIA NIM, highlighting the advantages of customizing large language models (LLMs) for specific tasks.

The article discusses Uber's journey in scaling its AI/ML infrastructure, highlighting the transition from on-premise to cloud solutions, the implementation of new technologies, and the optimizatio...

The article discusses Yoko Li's innovative work in AI, focusing on her projects like AI Town and AI Tamago, which utilize emergent behavior and large language models.

The article discusses the integration of Metaflow and NVIDIA Triton Inference Server for developing and deploying machine learning models.

NVIDIA has released TensorRT-LLM, an open-source library designed to optimize inference performance for large language models (LLMs) on NVIDIA GPUs.

NVIDIA SteerLM is a novel technique designed to simplify the customization of large language models (LLMs) during inference.

The article introduces the NVIDIA NeMo Data Curator, a scalable tool designed for curating trillion-token multilingual datasets for training large language models (LLMs).

The article discusses the need for AI to transition from performative applications to operational effectiveness, emphasizing the importance of addressing real-world problems and ethical considerati...

The article discusses the need for a practical and ethical approach to AI, emphasizing the importance of operationalizing AI technologies rather than merely focusing on theoretical ethics or flashy...