Top 10 AI and ML Databases Shaping the Future of Innovative AI Projects.pptx

•Descargar como PPTX, PDF•

0 recomendaciones•2 vistas

Discover the top 10 AI and ML databases tailored for AI and ML applications. Learn about their features, compatibility from Sparity's guide

Software

Top 10 AI and ML Databases Shaping the Future of Innovative AI Projects.pptx

Más contenido relacionado

Más de Sparity1

Apparel Brand’s eCommerce Success with Magento Migration.pptx

Sparity1

FedEx and UPS SOAP API Retirement - Adverse Effects and Solutions for Magento...

Sparity1

Azure Cloud Migration for a Pharmaceutical company.pptx

Sparity1

Google Cloud Databases Advancements with GenAI.pptx

Sparity1

Azure Data Migration Solution for Healthcare Client 1.pptx

Sparity1

Tableau to Power BI Migration – Your Comprehensive Guide in 2024 1 (1).pptx

Sparity1

Data Modeling Techniques you need to adopt in 2024 2.pptx

Sparity1

SAP BO to Power BI Migration-A Comprehensive Guide in 2024

Sparity1

Hybrid and Multi Cloud Strategies you should adopt in 2024 1 1.pptx

Sparity1

AWS Solution Revolutionized Insurance Provider Legacy Systems.pptx

Sparity1

Comprehensive Guide for Microsoft Fabric to Master Data Analytics

Sparity1

10 Key Data Privacy Checklists for B2B 1.pdf

Sparity1

Top 10 DevOps Principles for successful development teams.pdf

Sparity1

10 Things to Consider in AI Product Development.pdf

Sparity1

Innovative Real Estate Solutions with App Development

Sparity1

10 Comprehensive DevOps strategies to integrate into Multicloud (1) (1).pdf

Sparity1

10 Comprehensive DevOps strategies to integrate into Multicloud (1) (1).pdf

Sparity1

Top 10 DevOps Principles for successful development teams (1).pdf

Sparity1

Navigating Top 10 Startup Tech Challenges that needs to be addressed.pdf

Sparity1

Emerging trends and technologies in Cloud Computing.pdf

Sparity1

Más de Sparity1 (20)

Apparel Brand’s eCommerce Success with Magento Migration.pptx

FedEx and UPS SOAP API Retirement - Adverse Effects and Solutions for Magento...

Azure Cloud Migration for a Pharmaceutical company.pptx

Google Cloud Databases Advancements with GenAI.pptx

Azure Data Migration Solution for Healthcare Client 1.pptx

Tableau to Power BI Migration – Your Comprehensive Guide in 2024 1 (1).pptx

Data Modeling Techniques you need to adopt in 2024 2.pptx

SAP BO to Power BI Migration-A Comprehensive Guide in 2024

Hybrid and Multi Cloud Strategies you should adopt in 2024 1 1.pptx

AWS Solution Revolutionized Insurance Provider Legacy Systems.pptx

Comprehensive Guide for Microsoft Fabric to Master Data Analytics

10 Key Data Privacy Checklists for B2B 1.pdf

Top 10 DevOps Principles for successful development teams.pdf

10 Things to Consider in AI Product Development.pdf

Innovative Real Estate Solutions with App Development

10 Comprehensive DevOps strategies to integrate into Multicloud (1) (1).pdf

Top 10 DevOps Principles for successful development teams (1).pdf

Navigating Top 10 Startup Tech Challenges that needs to be addressed.pdf

Emerging trends and technologies in Cloud Computing.pdf

Último

Workforce Efficiency with Employee Time Tracking Software.pdf

DeskTrack

AI Hackathon.pptx

ERRORhackerboy

JustNaik Solution Deck (stage bus sector)

Max Lee

Secure Software Ecosystem Teqnation 2024

Soroosh Khodami

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Junchen Jiang (Assistant Professor of Computer Science, @University of Chicago) Prefill in LLM inference is known to be resource-intensive, especially for long LLM inputs. While better scheduling can mitigate prefill’s impact, it would be fundamentally better to avoid (most of) prefill. This talk introduces our preliminary effort towards drastically minimizing prefill delay for LLM inputs that naturally reuse text chunks, such as in retrieval-augmented generation. While keeping the KV cache of all text chunks in memory is difficult, we show that it is possible to store them on cheaper yet slower storage. By improving the loading process of the reused KV caches, we can still significantly speed up prefill delay while maintaining the same generation quality.

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

Alluxio, Inc.

Operations departments are at the heart of organizational efficiency and effectiveness, constantly assessing performance against strategic objectives and key results. With OnePlan, operations leaders can gain the insights and tools needed to align resources optimally and drive essential outcomes. This webinar will delve into how OnePlan facilitates real-time visibility into performance metrics and resource allocation, enabling operations teams to remain agile and effective. Join us to explore actionable strategies for enhancing your operational efficiency and achieving your key results.

Optimizing Operations by Aligning Resources with Strategic Objectives Using O...

OnePlan Solutions

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Lu Qiu (Data & AI Platform Tech Lead, @Alluxio) - Siyuan Sheng (Senior Software Engineer, @Alluxio) Speed and efficiency are two requirements for the underlying infrastructure for machine learning model development. Data access can bottleneck end-to-end machine learning pipelines as training data volume grows and when large model files are more commonly used for serving. For instance, data loading can constitute nearly 80% of the total model training time, resulting in less than 30% GPU utilization. Also, loading large model files for deployment to production can be slow because of slow network or storage read operations. These challenges are prevalent when using popular frameworks like PyTorch, Ray, or HuggingFace, paired with cloud object storage solutions like S3 or GCS, or downloading models from the HuggingFace model hub. In this presentation, Lu and Siyuan will offer comprehensive insights into improving speed and GPU utilization for model training and serving. You will learn: - The data loading challenges hindering GPU utilization - The reference architecture for running PyTorch and Ray jobs while reading data from S3, with benchmark results of training ResNet50 and BERT - Real-world examples of boosting model performance and GPU utilization through optimized data access

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

Alluxio, Inc.

Naer Toolbar Redesign - Usability Research Synthesis

parimabajra

These are the slides of my OpenSIPS Summit 2024 presentation about automating your test calls. It dives into why automated call testing is crucial, how to integrate it into your CI/CD pipeline and how to extend testing of single calls into load testing and testing of other protocols. The presentation also provides details how open source components such as sipp, asterisk and rtpengine are used to implement agents to generate test calls for SIP, Fax and WebRTC at scale.

Automate your OpenSIPS config tests - OpenSIPS Summit 2024

Andreas Granig

IT Software Development Resume, Vaibhav jha 2024

vaibhav130304

OpenChain @ LF Japan Executive Briefing - May 2024

Shane Coughlan

In his book, The Nature of the Physical World, Sir Arthur Eddington commented that “We have to appeal to the one outstanding law — the second law of thermodynamics — to put some sense into the world.” This sense-making goes beyond the physical world, too. Entropy is also essential in the fields of information and communication theory. During this lecture for the Princeton Plasma Physics Laboratory, lecturer Andrea Goulet discussed the application of entropy-related concepts in two communication systems: software and collaborative teams. She examined how concepts that help us understand systemic statistical disorder, such as ergodic systems, Lyapunov exponents, Kolmogorov-Sinai entropy, and Shannon-entropy can help us optimize for both software quality and innovation. She also provided several domain-specific models: Lehman’s Laws and Conway’s Law for software, as well as new models from her own research that relate to entropy and innovation. Entropy helps us understand the world and achieve great things. There is an underlying beauty in its principles that we can use to advance scientific discovery. When we understand the subtleties related to balancing surprise and structure, we increase our chances for effective collaboration and finding novel solutions to complex problems.

Entropy, Software Quality, and Innovation (presented at Princeton Plasma Phys...

Andrea Goulet

Modern binary build systems - PyCon 2024

Henry Schreiner

Top Mobile App Development Companies 2024

XongoLab Technologies LLP

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

Victor Lopez

Odoo is superior to Shopify in terms of building e-commerce websites because of it all-in-one functionality, vast customization and its costs-effectiveness. It combines the ERP, CRM, accounting and inventory management which simplify the whole eCommerce business further on. Due to the open source nature of Odoo platform, it is easy to customize and integrate it with other ERP systems. This makes it perfect for different businesses as it can be adjusted to the unique needs of different businesses. Its optimum pricing, including a free version, and low running costs making Odoo a viable, practical and affordable alternative in the long-term to Shopify.

Odoo vs Shopify: Why Odoo is Best for Ecommerce Website Builder in 2024

Primacy Infotech

Crafting the Perfect Measurement Sheet with PLM Integration

Wave PLM

This is a classic migration case study (the past, current and the future) at scale from a world-wide company transitioning from Confluent Platform and Confluent Cloud to self-managed Apache Kafka on Kubernetes using Strimzi. At Maersk, we have been architecting, designing and implementing our 3rd generation Event Streaming Platform. This platform is based on Kubernetes in Azure and using Strimzi to operate Apache Kafka at large scale, highly reliable, segregating data based on isolated use cases. Our 2nd generation was based on OnPrem Confluent Platform and Confluent Cloud and this presentation is the story of this migration and reasoning behind it. Furthermore, we would get into details on how we monitor (Grafana, Prometheus), alert (GoAlert and alert as code), operate and provide self-service solutions on top of Strimzi to enable business critical application in Maersk, implemented in GoLang using the GitOps deployment model with Flux and Kustomization among others. Finally, if time allows we will end with a demo of an open-source self service tool to monitor and explore the cluster with most wanted features such as topic message browsing and configuring and restarting connectors.

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi.pdf

steffenkarlsson2

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Eric Wang (Software Engineer, @Uber) Uber has numerous deep learning models, most of which are highly complex with many layers and a vast number of features. Understanding how these models work is challenging and demands significant resources to experiment with various training algorithms and feature sets. With ML explainability, the ML team aims to bring transparency to these models, helping to clarify their predictions and behavior. This transparency also assists the operations and legal teams in explaining the reasons behind specific prediction outcomes. In this talk, Eric Wang will discuss the methods Uber used for explaining deep learning models and how we integrated these methods into the Uber AI Michelangelo ecosystem to support offline explaining.

AI/ML Infra Meetup | ML explainability in Michelangelo

Alluxio, Inc.

5 Reasons Driving Warehouse Management Systems Demand

Canary7-Warehouse Management System

Top 10 AI and ML Databases Shaping the Future of Innovative AI Projects.pptx

Recomendados

Recomendados

Más contenido relacionado

Más de Sparity1

Más de Sparity1 (20)

Último

Último (20)