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WallarooAI
United States
เข้าร่วมเมื่อ 12 ก.ย. 2022
Easy Production AI at Scale: Any Model, Any Hardware, Anywhere.
Purpose built for production AI, so AI teams stay lean and nimble. Enabling you to get to value fast for your cloud analytics, edge AI and gen AI initiatives.
Learn more at www.wallaroo.ai
Purpose built for production AI, so AI teams stay lean and nimble. Enabling you to get to value fast for your cloud analytics, edge AI and gen AI initiatives.
Learn more at www.wallaroo.ai
Humans Talking About AI | Wallaroo.AI Podcast - Ep. 6 AI, Data Privacy, and Defense
How is AI shaping the future of national security? In this discussion, we dive into how generative AI and advanced technologies are revolutionizing military and defense operations. As governments and intelligence agencies deal with an overwhelming volume of structured and unstructured data-from surveillance footage and electronic signals to intelligence reports-secure AI infrastructure is becoming a game-changer.
Key Highlights:
Impact of Generative AI on Defense
Secure AI Deployment
Role of Partnerships
AI Optimizations for Defense
AI-Driven Threat Analysis
Balancing AI Infrastructure
Learn how partnerships between leading tech companies are enabling the creation of innovative solutions tailored for defense applications. Explore the challenges of deploying generative AI in sensitive environments, including ensuring data security, preventing bias, and maintaining governance over powerful AI models.
This conversation highlights the critical role of AI in analyzing data at scale, identifying potential threats, and empowering analysts to make faster, data-driven decisions. We also discuss key innovations like auto-scaling and dynamic batching for optimized latency and throughput, and the balance between leveraging cloud-based AI and maintaining on-premises control.
If you're interested in the intersection of AI, government, and defense, this is a must-watch!
🔔 Don’t forget to like, share, and subscribe for more insights into the latest in AI, technology, and innovation.
#AI #GenerativeAI #NationalSecurity #DefenseTechnology
Key Highlights:
Impact of Generative AI on Defense
Secure AI Deployment
Role of Partnerships
AI Optimizations for Defense
AI-Driven Threat Analysis
Balancing AI Infrastructure
Learn how partnerships between leading tech companies are enabling the creation of innovative solutions tailored for defense applications. Explore the challenges of deploying generative AI in sensitive environments, including ensuring data security, preventing bias, and maintaining governance over powerful AI models.
This conversation highlights the critical role of AI in analyzing data at scale, identifying potential threats, and empowering analysts to make faster, data-driven decisions. We also discuss key innovations like auto-scaling and dynamic batching for optimized latency and throughput, and the balance between leveraging cloud-based AI and maintaining on-premises control.
If you're interested in the intersection of AI, government, and defense, this is a must-watch!
🔔 Don’t forget to like, share, and subscribe for more insights into the latest in AI, technology, and innovation.
#AI #GenerativeAI #NationalSecurity #DefenseTechnology
มุมมอง: 30
วีดีโอ
Inside the Massive Data Center Investments by Meta & AWS | Humans Talking About AI Pod Ep #3
มุมมอง 522 ชั่วโมงที่ผ่านมา
Welcome to another episode of "Humans Talking About AI"! In this session, hosts Stephen and Martin dive deep into the burgeoning investments in AI data centers by industry giants like Meta and AWS. 🌟 Key Topics Covered: ✅Massive Investments: Discover why companies are pouring billions into expanding their data center footprints to support the ever-growing demands of generative AI workloads. ✅En...
Webinar: Enabling Scalable AI at the Edge: Computer Vision and Beyond
มุมมอง 4219 ชั่วโมงที่ผ่านมา
In this webinar, our three experts from Zededa, VMware, and Wallaroo will explore an edge computer vision use case and how to overcome these challenges. Computer vision at the edge is of high interest for fleet management, including predictive maintenance, object or defect detection, retail shrinkage avoidance, worker safety, and quality control. But it requires an edge-native approach that sup...
Deploying Custom AI Code Assistants with Wallaroo
มุมมอง 13วันที่ผ่านมา
In this video we show how to deploy custom AI models for LLM powered code generation assistants on the IDE of your choice with Wallaroo.
Humans Talking About AI | Wallaroo.AI Podcast - Ep. 4
มุมมอง 2414 วันที่ผ่านมา
In the fourth episode of ‘Humans Talking About AI’, Steven and Martin explore the rapidly evolving world of AI in retail, with Taco Bell's groundbreaking deployment of AI in drive-thru lanes leading the conversation. They discuss the potential benefits of using AI for streamlining the customer experience, reducing order time, and enhancing accuracy. From discussing McDonald’s pause on AI trials...
Automating Production Forecast Workflows with Prophet & Wallaroo
มุมมอง 1321 วันที่ผ่านมา
In part 3 of the Demand Forecasting video series we focus on reporting workflow automation for models in production to help scale data-driven decisions for AI teams. This series deals with how to apply MLOps to a demand forecasting model using Wallaroo forecasting with Facebook's Prophet framework. The series will demonstrate how Wallaroo's bring your own predict framework. Also known as BYOP, ...
Scaling Production Forecasting with Prophet & Wallaroo
มุมมอง 1021 วันที่ผ่านมา
In part 2 of the Demand Forecasting video series we focus on post deployment steps for performance optimization for large scale forecasts and accelerating time to insights for the AI team. Demand forecasting is critical across industries, helping businesses anticipate demand and make data driven decisions. This series deals with how to apply MLOps to a demand forecasting model using Wallaroo fo...
Deploying Time Series Forecasting Pipelines with Prophet & Wallaroo
มุมมอง 821 วันที่ผ่านมา
In part 1 of the Demand Forecasting video series we learn how to deploy and serve a forecasting model using Wallaroo. Demand forecasting is critical across industries, helping businesses anticipate demand and make data driven decisions. This series deals with how to apply MLOPS to a demand forecasting model using Wallaroo forecasting with Facebook's Prophet framework. The series will also demon...
Building Custom LLMs for Production Inference Endpoints
มุมมอง 117หลายเดือนก่อน
In this session we dive into the details for how to build, deploy, and optimize custom Large Language Models (LLMs) for production inference environments. This session will cover the key steps for Custom LLMs (LLama), focusing on: - Why custom LLM’s? - Inference Performance Optimization - Bias and Harmful language Detection Learn More: - Wallaroo LLM Operations Docs: docs.wallaroo.ai/wallaroo-l...
Humans Talking About AI | Wallaroo.AI Podcast - Ep. 5 Efficient AI For the Future
มุมมอง 19หลายเดือนก่อน
In this episode of Humans Talking About AI, Steven Spellicy (COO, Wallaroo.AI) chats with Chris McDermott, VP of Research & Development Engineering at Wallaroo.AI, about the growing infrastructure demands of artificial intelligence. From the scarcity of GPUs to energy and water consumption, we explore the challenges companies face in balancing AI innovation with sustainability. Hear about the s...
Forecasting Demand at Multiple Granular Levels with Wallaroo
มุมมอง 2หลายเดือนก่อน
In this video you will learn how to deploy, serve and orchestrate a demand forecasting model. This video will show how to easily integrate your model inference with your existing tech stack and automate the model inference process with Wallaroo orchestration. Learn More Free Wallaroo Community Edition - hubs.la/Q02nf2vF0 Forecasting Tutorial: hubs.la/Q02T_7d10
Deploying LLMs With Wallaroo and Ampere on Oracle Cloud Infrastructure
มุมมอง 392 หลายเดือนก่อน
In this video we show how we can use Wallaroo installed on Oracle Cloud Infrastructure (OCI) with Ampere hardware to deploy a quantized version of Llama 3.0. The video shows automated model packaging to optimize for the Ampere hardware as well as managing and monitoring LLMs for performance and potential toxicity with Wallaroo LLM Listeners. Try for yourself using the plans below. Wallaroo Infe...
Edge AI Inference Lifecycle Pt 4: Edge In-Line Model Updates with Wallaroo
มุมมอง 112 หลายเดือนก่อน
Edge AI Inference Lifecycle Part 4: This video is part of a series of shorts. Part 4 shows updating a computer vision (CV) model to an edge endpoint in-line with no production downtime. Try these for yourself with the following resources. Edge AI Inference Tutorials: hubs.la/Q02z04X80 Free Community Edition: hubs.ly/Q02vLZC40 Azure Marketplace Community Edition: hubs.la/Q02zlrqg0
Edge AI Inference Lifecycle Pt 3: Optimizing Models Using Shadow Deploy with Wallaroo
มุมมอง 112 หลายเดือนก่อน
Edge AI Inference Lifecycle Part 3: This video is part of a series of shorts. Part 3 shows optimizing models on an edge endpoint using the Shadow Deploy method. Try these for yourself with the following resources. Edge AI Inference Tutorials: hubs.la/Q02z04X80 Free Community Edition: hubs.ly/Q02vLZC40 Azure Marketplace Community Edition: hubs.la/Q02zlrqg0
Edge AI Inference Lifecycle Pt 2: Centralized Model Observability with Wallaroo
มุมมอง 92 หลายเดือนก่อน
Edge AI Inference Lifecycle Part 2: This video is part of a series of shorts. Part 2 shows centralized model observability computer vision on a remote edge endpoint. Try these for yourself with the following resources. Edge AI Inference Tutorials: hubs.la/Q02z04X80 Free Community Edition: hubs.ly/Q02vLZC40 Azure Marketplace Community Edition: hubs.la/Q02zlrqg0
Edge AI Inference Lifecycle Pt 1: Deploying Models to the Edge with Wallaroo
มุมมอง 182 หลายเดือนก่อน
Edge AI Inference Lifecycle Pt 1: Deploying Models to the Edge with Wallaroo
Wallaroo Edge AI inference lifecycle (deployment, monitoring and updates)
มุมมอง 462 หลายเดือนก่อน
Wallaroo Edge AI inference lifecycle (deployment, monitoring and updates)
Optimized Inference on Intel CPU & GPU with OpenVino and Wallaroo
มุมมอง 1724 หลายเดือนก่อน
Optimized Inference on Intel CPU & GPU with OpenVino and Wallaroo
Deploying LLM Inference Endpoints & Optimizing Output with RAG in Wallaroo
มุมมอง 744 หลายเดือนก่อน
Deploying LLM Inference Endpoints & Optimizing Output with RAG in Wallaroo
Unveiling Tomorrow's Retail: Exploring the Role of AI in Shaping the Industry
มุมมอง 2434 หลายเดือนก่อน
Unveiling Tomorrow's Retail: Exploring the Role of AI in Shaping the Industry
Monitoring LLM Inference Endpoints with Wallaroo LLM Listeners
มุมมอง 1814 หลายเดือนก่อน
Monitoring LLM Inference Endpoints with Wallaroo LLM Listeners
Revolutionizing Healthcare & Life Sciences with AI at the Edge
มุมมอง 604 หลายเดือนก่อน
Revolutionizing Healthcare & Life Sciences with AI at the Edge
Deploying and Monitoring LLM Inference Endpoints in Wallaroo
มุมมอง 1044 หลายเดือนก่อน
Deploying and Monitoring LLM Inference Endpoints in Wallaroo
Ethical AI, Training on Youtube Content, & CoSAI - Humans Talking About AI Pod Episode #3
มุมมอง 224 หลายเดือนก่อน
Ethical AI, Training on TH-cam Content, & CoSAI - Humans Talking About AI Pod Episode #3
AMD Acquires Silo AI - Humans Talking About AI - Episode 2
มุมมอง 1285 หลายเดือนก่อน
AMD Acquires Silo AI - Humans Talking About AI - Episode 2
Building Lean & Nimble AI Teams - Humans Talking About AI - Episode 1
มุมมอง 255 หลายเดือนก่อน
Building Lean & Nimble AI Teams - Humans Talking About AI - Episode 1
Navigating the Terrain: Challenges and Strategies in Deploying LLMs in Production.
มุมมอง 685 หลายเดือนก่อน
Navigating the Terrain: Challenges and Strategies in Deploying LLMs in Production.
Production AI: Automated Monitoring of LLMs in Wallaroo
มุมมอง 246 หลายเดือนก่อน
Production AI: Automated Monitoring of LLMs in Wallaroo
Production AI: Deploying LLMs to Production in Wallaroo
มุมมอง 386 หลายเดือนก่อน
Production AI: Deploying LLMs to Production in Wallaroo
Production AI: Deploying and Monitoring LLMs in Wallaroo
มุมมอง 736 หลายเดือนก่อน
Production AI: Deploying and Monitoring LLMs in Wallaroo
To train a doctor, send him/her through university, medical school, etc. How much does it cost to train one doctor? Now times that by millions of doctors in the world. Software can be used by the world. Software is updated regularly as new drugs and new diagnostic techniques are developed. NO more cramming, with short term memories that ONLY lasts 7 days after the examination. Make sense? If there are so much resources and energy, then invest that in innovation = more worth while. Make sense?
Ai = programmed by humans. Future = all routine work are done by Ai -> much more efficient and cost effective.
LLM are not AI, so no worries
Promo'SM
I love it! "We want to minimize the angry, mean grandma...". This is how I like to talk about AI! The potential is infinite and the future is limitless.