What are Large Language Models? | NVIDIA Glossary
Large language models (LLMs) are deep learning algorithms that can recognize, summarize, translate, predict, and generate content using very large datasets. Explore all about LLMs solutions.
Resources
Mastering LLM Techniques: Inference Optimization | NVIDIA Technical Blog
Stacking transformer layers to create large models results in better accuracies, few-shot learning capabilities, and even near-human emergent abilities on a wide range of language tasks.
Mastering LLM Techniques: Customization | NVIDIA Technical Blog
Large language models (LLMs) are becoming an integral tool for businesses to improve their operations, customer interactions, and decision-making processes. However, off-the-shelf LLMs often fall…
The Attention Mechanism in Large Language Models
Check out the latest (and most visual) video on this topic! The Celestial Mechanics of Attention Mechanisms: https://www.youtube.com/watch?v=RFdb2rKAqFwAtten...
Introduction - Hugging Face LLM Course
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
How to become a NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL) | LinkedIn
When Nvidia announced its Generative AI certification tracks at GTC in March 2024 — the LLM-focused NCA-GENL, as well as the multimodal NCA-GENM — it was clear to me that I wanted to give it a shot, for various reasons: My Google Cloud-certified knowledge from 2020 and 2021 felt outdated (see summar