DeepSeek’s smallpond extends DuckDB to distributed computing using Ray and a custom storage system, balancing scalability with added complexity.
Running DeepSeek-R1 (671B params) locally? It’ll set you back ~$106K in hardware alone—GPUs, RAM, storage, and cooling make it an enterprise-scale investment.
PayPal uses ML-driven causal inference to measure how new product adoption impacts revenue and engagement, refining decision-making with user-matching techniques.
Improve retrieval from PDFs using semantic chunking, entity extraction, and knowledge graphs—enhancing RAG/KAG performance.
Lyft’s Kubernetes-based FacetController automates deployments, scales infra efficiently, and eliminates mass redeployments.
Teads scales its SSP to handle massive traffic using Redis caching, Kubernetes, and automated rollbacks for reliability.
MLOps without a DevOps foundation is a recipe for failure—this blog breaks down key adoption steps and best practices.
A deep dive into automating knowledge collection, AI-powered summarization, and LinkedIn post generation using n8n.
A webinar on agentic LMs—covering planning, tool usage, and iterative workflows to enhance AI performance.
Discover how Drata uses Change Data Capture (CDC) and Apache Flink to build a scalable RAG system, ensuring compliance and real-time data ingestion with Decodable and Vellum.
SQL is at the heart of modern data operations, eliminating the need for external tools and custom scripts. Learn how Nickel’s approach enables self-service analytics through a governed SQL function catalog using BigFunctions, an open-source framework.
AI is transforming recruitment by automating screening and improving efficiency. However, human judgment remains irreplaceable. This article explores how organizations can optimize AI for fair and ethical hiring decisions.
Learn how to deploy AI inference workloads on Amazon EKS using Terraform, Triton Inference Server, and Prometheus Adapter for autoscaling, monitoring, and optimization.