Overcoming Complex Obstacles: Revealing Tableau’s Process for Creating New Features and Functionality
Exploring Tableau's process for developing new features and functionalities and overcoming complex engineering challenges.
Accenture creates a regulatory document authoring solution using AWS generative AI services
Accenture develops a regulatory document authoring solution using AWS generative AI services
Six MIT students selected as spring 2024 MIT-Pillar AI Collective Fellows
Six MIT students selected as spring 2024 MIT-Pillar AI Collective Fellows
Chief Innovation Officer Matt Greenwood on the Engineering Leadership Podcast
Matt Greenwood, Chief Innovation Officer at Two Sigma, discusses his career journey and Two Sigma's engineering culture on the Engineering Leadership Podcast.
Graph neural networks in TensorFlow
Graph neural networks in TensorFlow: A powerful technique to leverage graph connectivity and input features for making predictions on graphs, with a new production-tested library TF-GNN 1.0.
Adding new LLMs, text classification and code generation models to the Workers AI catalog
Adding new LLMs, text classification, and code generation models to Cloudflare's Workers AI catalog.
Integrate QnABot on AWS with ServiceNow
Learn how to integrate the QnABot on AWS chatbot solution with ServiceNow to streamline IT service triage and incident ticket creation.
Linking the unlinkables; simple, automated, scalable data linking with Databricks ARC
Linking the unlinkables with Databricks ARC; simple, automated, scalable data linking using probabilistic methods
Insurance’s GenAI revolution: a business perspective
Exploring the challenges and impact of AI in the insurance world, focusing on the use of large language models (LLMs) and the importance of aligning subject matter experts with machine processes.
The overwhelmed person’s guide to Google Cloud: week of February 1
A curated guide to the latest updates and features in Google Cloud, including serverless with durable storage, AlloyDB improvements, and webhook integration workflows.
UM-Bridge: leveraging Kubernetes for scalable Uncertainty Quantification in the cloud
UM-Bridge: leveraging Kubernetes for scalable Uncertainty Quantification in the cloud
No GPU? No problem. localllm lets you develop gen AI apps on local CPUs
Develop gen AI apps on local CPUs with localllm, eliminating the need for GPUs and leveraging quantized models.