GenAI

The T5 model (Raffel et al, 2019) is widely used in the NLP community. Its base model has been downloaded from Hugging Face millions of times, leaving no doubt that these models are a favorite of the community. However, T5's tokenizer omits important code-related tokens and subsequent pretraining datasets have been released with higher quality filtering and more diverse domains. In this blog post, we introduce a new version of T5 intended to address those weaknesses: Pile-T5, trained on the Pile (Gao et al, 2020) and using the LLaMA tokenizer (Touvron et al, 2023). Model Description# Our alternative version replaces…

Scaling machine learning (ML) experiments is a challenging process that requires efficient resource management, experiment tracking, and infrastructure scalability. neptune.ai offers a centralized platform to manage ML experiments, track real-time model performance, and store metadata. Kubernetes automates container orchestration, improves resource utilization, and enables horizontal and vertical scalability. Combining neptune.ai and Kubernetes provides a robust solution for scaling ML experiments, making it easier to manage and scale experiments across multiple environments and team members. Scaling machine-learning experiments efficiently is a challenge for ML teams. The complexity lies in managing configurations, launching experiment runs, tracking their outcomes, and optimizing resource allocation.…

The rise of Transformer models has taken the machine learning world by storm, overshadowing many other techniques that have proven their worth over time.While transformers are powerful, it’s important to recognize that they are not the one-size-fits-all solution for every problem.Convolutional Neural Networks (CNNs), for instance, remain highly effective for those involving image and spatial data.We have a scenario where we need to classify medical X-ray images to determine whether a bone is broken or not. In such tasks, convolutional neural networks shine due to their ability to learn spatial hierarchies from images.TensorFlow Hub provides access to a wide range…

AI partnerships took top billing at Dell Technologies World 2024, held in Las Vegas from May 20 to May 23. Major news from the conference so far included: Five new AI-capable laptops. More integrations between NVIDIA and Dell’s AI Factory, Dell’s AI enablement program. New partnerships with Hugging Face, Meta and Microsoft. Dell reveals AI capabilities on XPS, Latitude and Inspiron Laptops New Dell PCs are getting in on the generative AI boom, with the Qualcomm Snapdragon X Series processor coming to five new models: XPS 13, coming later this year with preorders beginning May 20 in the U.S.. The…