Introduction The Llama ecosystem has taken a significant leap forward with the release of Llama 4, offering improved performance, reduced bias, and enhanced safety features. In this article, we'll delve into the key improvements and advancements of the new models, Llama 4 Scout and Llama 4 Maverick. Key Improvements The...

Are you looking to take your deep learning models to the next level by parallelizing and scaling them across multiple GPUs? Look no further than PyTorch's Fully Sharded Data Parallel (FSDP) module. In this tutorial, we'll explore the key features of FSDP in PyTorch 1.12 and provide code examples to...

In the realm of AI, large language models (LLMs) like Deepseek R1 are typically associated with high-performance GPUs. However, for those without access to such hardware, running these models on CPUs is an intriguing alternative, albeit with performance trade-offs. This guide walks you through setting up and running the Deepseek...

The latest version of Llama, Llama 3.3 (70B), has been released, offering a range of new features and capabilities that are set to revolutionize the field of artificial intelligence. This updated model boasts a longer context window, multilingual inputs and outputs, and integration with third-party tools, making it an exciting...

In a significant move towards technological advancement, JPMorgan Chase has launched the LLM Suite, a generative AI assistant designed to enhance productivity across its workforce. This initiative aims to streamline tasks such as drafting emails and summarizing documents, thereby improving efficiency for the bank’s 200,000 employees, including CEO Jamie Dimon....

Hugging Face continues to push the boundaries of AI with several exciting developments and collaborations that aim to democratize access to cutting-edge technology and foster innovation across various sectors. SmolTools: Bringing Practical AI to the Forefront Hugging Face has introduced SmolTools, a suite of AI-powered applications designed to simplify everyday...

Introduction The past two years have witnessed an explosion in Artificial Intelligence (AI) capabilities, with large languagemodels like ChatGPT, Dall-E, and Midjourney becoming everyday tools. Generative AI programs are now responding toemails, writing marketing copies, recording songs, and creating images from simple inputs. However, the rapidadoption of AI has also...

LinkedIn has recently unveiled its groundbreaking innovation, the Liger (LinkedIn GPU Efficient Runtime) Kernel, a collection of highly efficient Triton kernels designed specifically for large language model (LLM) training. This new technology represents an advancement in machine learning, particularly in training large-scale models that require substantial computational resources. What is...

As Large Language Models (LLMs) continue to advance in capabilities and applications, it's essential to address one of the significant challenges they face: dealing with irrelevant information. In this blog post, we'll explore a novel approach to improving the robustness of LLMs against irrelevant information, ensuring they can effectively reason...

As the AI landscape continues to evolve at a breakneck pace, the question on everyone's mind is: what's next? Will the rapid advancements in Large Language Models (LLMs) continue unabated, or are we on the cusp of a significant slowdown? In this article, we'll explore the current state of LLMs,...