The preprint and postprint manuscript web sites Artificial Intelligence and Machine Learning are not included here due to their very high submission rates.
- Machine learning workflows require several distinct steps — from loading and preparing data to creating and evaluating models.
- Python has evolved from a simple scripting language to the backbone of modern data science and machine learning.
- Fine-tuning a large language model (LLM) is the process of taking a pre-trained model — usually a vast one like GPT or Llama models, with millions to billions of weights — and continuing to train it, exposing it to new data so that the model weights (or typically parts of them) get updated.
- This guide introduces data streaming from a data science perspective. We’ll explain what it is, why it matters, and how to use tools like Apache Kafka, Apache Flink, and PyFlink to build real-time pipelines.
- Join us at GTC Paris on June 10th and choose from six full-day, instructor-led workshops. Source
- Synthetic data has become a standard part of large language model (LLM) post-training procedures. Using a large number of synthetically generated examples from either a single or cohort of open-source, commercially permissible LLMs, a base LLM is finetuned either with supervised finetuning or RLHF to gain instruction-following and reasoning skills. This process can be seen […]
- In this article, you'll master 10 essential Linux file system commands. This guide provides helpful examples to make working with files easier.
- Add these 4 data analytic-based projects to your resume to land your next job.
- Stop guessing and start applying the 5 daily habits that turn average freelancers into 6-figure earners.
- Are you eager to enhance your artificial intelligence skills? We've curated a fantastic selection of free AI books to aid your learning journey!
- As organizations strive to maximize the value of their generative AI investments, accessing the latest model developments is crucial to continued success. By using state-of-the-art models on Day-0, teams can harness these innovations efficiently, maintain relevance, and be competitive. The past year has seen a flurry of exciting model series releases in the open-source community… […]
- The integration of NVIDIA NIM microservices into Azure AI Foundry marks a major leap forward in enterprise AI development. By combining NIM microservices with Azure’s scalable, secure infrastructure, organizations can now deploy powerful, ready-to-use AI models more efficiently than ever before. NIM microservices are containerized for GPU-accelerated inferencing for pretrained and customized… Source
- Master LLMs through books, courses, tutorials, exercises, projects, and comprehensive guides that cover everything from foundational concepts to advanced techniques.
- Struggling with messy datasets? This playbook is your one-stop resource packed with hands-on tutorials, expert tips, and guides to help you clean your data like a pro.
- Looking to get the most out of NotebookLM? These five expert tips will help you use it better and improve your productivity.
- A lot (if not nearly all) of the success and progress made by many generative AI models nowadays, especially large language models (LLMs), is due to the stunning capabilities of their underlying architecture: an advanced deep learning-based architectural model called the
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- Scientific research in complex fields like battery innovation is often slowed by manual evaluation of materials, limiting progress to just dozens of candidates per day. In this blog post, we explore how domain-adapted large language models (LLMs), enhanced with reasoning capabilities, are transforming scientific research, especially in high-stakes, complex domains like battery innovation. Source
- Developers building powerful multimodal applications now have a new state-of-the-art model designed for enterprise-scale performance with Mistral Medium 3…. Source
- Tired of rewriting boilerplate code? These copy-ready custom decorators are reusable patterns that belong in every developer’s toolkit.