Meta-Prompting Technique for Building High-Level AI Agents
Explore meta-prompting techniques to build flexible AI agents. Learn implementation, web search integration, and evaluate strengths and weaknesses of this powerful prompt engineering approach.
Neo4j Knowledge Graphs for Smarter AI-Agent Search
Explore how Neo4j knowledge graphs enhance AI agent search, improving response quality through advanced AI engineering techniques like meta-prompting and RAG.
AI Agent for Deep Web Search with O1 Preview - Open-Source Alternative to Perplexity
Explore Jar3d, an open-source AI agent for deep web research using LangGraph and o1-preview. Learn its setup, capabilities in complex tasks, and advantages over traditional search engines.
True GitOps Using Crossplane and ArgoCD
Explore GitOps concepts, ArgoCD architecture, and Crossplane benefits. Learn how these tools combine to provide a true GitOps solution through an end-to-end demonstration.
Kubernetes CKS Certification Guide 2023 - Exam Preparation and Falco Demo
Explore Kubernetes CKS certification essentials, including exam tips, cloud-native concepts, and Falco security tool. Gain insights and practical knowledge to become a certified Kubernetes security specialist.
Introducing K2D: Kubernetes to Docker Translator for Industrial IoT
Explore K2D: Kubernetes-to-Docker translator for resource-constrained IoT devices. Learn its creation, advantages, and real-world applications through live demonstrations.
Simplify Add-On Management in Kubernetes with Sveltos
Explore Sveltos, a Kubernetes add-on controller simplifying deployment and management across clusters. Learn from project maintainer Gianluca Mardente about its journey and benefits.
Performing CRUD Operations on Kubernetes Using Golang - API Guide
Learn to perform CRUD operations on Kubernetes resources using Go. Master client libraries, environment setup, and essential operations like reading, creating, updating, and deleting pods.
Serve a Custom LLM for Over 100 Customers - GPU Selection, Quantization, and API Setup
Learn to deploy and serve custom LLMs efficiently for multiple customers. Master server selection, API software, GPU optimization, and quantization techniques for cost-effective, high-performance model serving.
Improved Retrieval Augmented Generation with ALL-SORT - Advanced Techniques
Explore advanced retrieval augmented generation techniques using ALL-SORT for improved LLM-assisted information retrieval, with practical demonstrations and performance evaluations.
Tiny Text and Vision Models - Fine-Tuning and API Setup
Explore fine-tuning and API setup for tiny text and vision models, covering multi-modal architectures, LoRA adapters, and deployment strategies for custom APIs.
Preparing Fineweb - A Finely Cleaned Common Crawl Dataset for Language Models
Explore Common Crawl data processing, comparing datasets like C4 and RefinedWeb. Learn about quality filters, deduplication strategies, and LLM-assisted filtering for creating high-quality datasets like Fineweb Edu.
Powering Gigawatt Data Centers: Comparing Wind, Solar, and Gas Options
Explore powering gigawatt data centers using wind, solar, and gas. Analyze demand curves, cost models, and hybrid solutions to optimize energy efficiency and sustainability in large-scale computing facilities.
The Magic of Merlin - Shopify's New Machine Learning Platform
Explore Shopify's Merlin ML platform, its open-source stack, architecture, and how it scales ML work using Ray.
Predibase: A Low-Code Deep Learning Platform Built for Scale
Explore Predibase: a low-code deep learning platform combining large-scale ML with state-of-the-art architectures for NLP, computer vision, and tabular data, built on Ludwig and Ray for scalable, end-to-end solutions.
Scalable Training of Language Models Using Ray, JAX, and TPUv4
Explore challenges and design decisions for scalable language model training, with quantitative analysis of efficiency improvements using Ray, JAX pjit, and TPUv4.
Scalable Feature Engineering with Hamilton on Ray
Explore scalable feature engineering using Hamilton and Ray at StitchFix. Learn declarative dataflow, team scaling, and efficient computation for thousands of time-series features.
KubeRay - A Kubernetes Ray Clustering Solution
Explore KubeRay, an open-source toolkit for managing Ray clusters on Kubernetes. Learn about architectural decisions, resource management, job submission, and autoscaling capabilities.
Large-Scale Deep Learning to Augment Production RL Workloads at Riot Games
Learn to leverage large-scale deep learning for building game bots, predicting outcomes, and optimizing training processes in game development. Explore supervised learning techniques and scaling with Ray tools.
SkyML: Infra-less Machine Learning on Any Cloud
Explore SkyML for simplified, high-performance machine learning across clouds. Leverage best-of-breed accelerators, spot instances, and automatic resource management for cost-effective ML applications.
A Cross-Platform, Cross-Tool Ray on Kubernetes Deployment
Deploy Ray, Spark, Dask, and Jupyter on mixed-architecture Kubernetes clusters. Learn cross-building containers, handling Ubuntu versions, and glibc versioning for heterogeneous Ray clusters.