At Prediction Guard, we’re honored to partner with Intel Corporation and SimWerx in bringing generative AI to real-world, high-impact scenarios. Our latest story, “Saving Lives,” showcases how our AI solutions, powered by Intel’s cutting-edge technology, are being deployed in pre-hospital care to provide reliable, life-saving guidance to field medics. Together, we’re making AI a trusted tool in critical moments, driving life-changing results with confidence and precision. Read the full story and learn more about our mission in the comments below. #generativeAI #AI #llms #Innovation #Healthcare #TechForGood #IntelLiftoff
关于我们
Prediction Guard is a secure, scalable GenAI platform that safeguards sensitive data, runs on affordable hardware, and prevents common AI malfunctions. Built-in security, privacy: Jump ahead of your competition and accelerate AI transformation without leaking your data or introducing AI-related vulnerabilities. - Security Checks: For new kinds of vulnerabilities like prompt injections. - Privacy Filters: To mask or replace PII in model inputs. - Output Validations: For preventing hallucinations (or "wrongness") and toxic outputs. - Compliant Data Protections: To maintain HIPAA and make sure you can get a BAA in place. Flexible, cost-effective deployment options: Take control and run your company's GenAI platform in your own infrastructure with or without GPUs. Reduce your AI infrastructure spend by 90%! - Option 1: Managed Cloud - Fully hosted and managed by Prediction Guard, which is the fastest & easiest way to get started (<1 day). HIPAA compliant. No need to operate or maintain a scalable Kubernetes cluster. - Option 2: Self Hosted - Hosted in a customer’s infrastructure, with flexible compute options (including other-than-GPU accelerators, like Intel? Gaudi?, data center CPUs, like Intel? Xeon?, and PC/workstation CPUs). Pre-optimized for the best price-performance at enterprise scale.
- 网站
-
https://www.predictionguard.com/
Prediction Guard的外部链接
- 所属行业
- 软件开发
- 规模
- 2-10 人
- 类型
- 私人持股
Prediction Guard员工
-
Miguel Correa
Managing Director at Ardan Labs - Senior Advisor at Prediction Guard
-
Todd Bordner
Program and Project Management | Software Startup Operations | Fractional COO
-
Daniel Whitenack
Founder and CEO, Podcast co-host
-
Sharan Shirodkar
AI Engineer at Prediction Guard | Purdue MS-BAIM'23 | Cairn | NIT Calicut'19
动态
-
Intel's latest innovation enhances privacy in large language models by integrating the Prediction Guard LLM platform on Intel Gaudi 2 accelerators. This breakthrough ensures more secure and privacy-conscious AI systems, setting a new standard in protecting sensitive information while leveraging powerful AI technologies. Discover how this advancement is shaping the future of AI: https://intel.ly/4g8ZeMx #AI #LLM #IntelGaudi
-
-
?? Reminder Alert! ?? Tomorrow, September 12th, our talented AI Engineer Aishwarya Ramasethu will be presenting a lightning talk at the MLOps Community’s ‘Data Engineering for AI/ML’ Conference! ???? Don’t miss her session on: ??? Talk Title: Applying Differential Privacy (DP) to LLM Prompts While Maintaining Accuracy ?? Time: 11:35 AM EDT Aishwarya will dive deep into leveraging Differential Privacy for creating secure and accurate prompts in Large Language Models (LLMs). This talk is perfect for those working with generative AI in sensitive domains like healthcare, where data privacy is non-negotiable. ???? Join us to learn how to balance privacy with model performance from one of the best in the field! Link to event : https://lnkd.in/dHYYw3Xk ?? It’s not too late to register and attend this insightful virtual event!
-
?? We’re excited to share DeepLearning.AI’s latest course, Multimodal RAG: Chat with Videos, featuring Prediction Guard’s advanced platform on Intel Corporation’s cloud! ?? Learn how to build cutting-edge systems that interact with video content, all powered by the BridgeTower model from Intel and Microsoft Research. Dive into the world of multimodal AI and unlock new capabilities using the tools hosted on Prediction Guard’s secure GenAI platform. Don’t miss out—enroll now and start creating the future of AI with us! Enroll for free: https://hubs.la/Q02PvM8Z0
We're excited to introduce Multimodal RAG: Chat with Videos, a course created in collaboration with Intel Corporation, and taught by Vasudev Lal, Principal AI Research Scientist at Intel Labs. Build a system that answers grounded responses from video content! In this course, you'll create an interactive chat system using the BridgeTower model, a multimodal transformer developed by Intel and Microsoft Research. In detail: ?? Generate joint embeddings from video content and store them in a vector database. ?? Build a Retrieval-Augmented Generation (RAG) pipeline to fetch relevant video data. ?? Use Large Vision-Language Models (LVLMs) to answer questions using both text and image inputs. In this course, you will make API calls to access multimodal models hosted by Prediction Guard on Intel’s cloud. By the end, you'll have the expertise to build systems that can intelligently interact with video content. Enroll for free: https://hubs.la/Q02PvM8Z0
-
Prediction Guard page is now live on Intel Corporation AI & Machine Learning Ecosystem Developer Resources ! ?? This is a significant milestone for our team as we continue to push the boundaries of AI innovation, ensuring privacy, security and compliance in every solution we deliver. Check out our page to learn more about how we're partnering with industry leaders like Intel to redefine AI standards.?? https://lnkd.in/dJFNV3bH Here's to many more groundbreaking moments! #MachineLearning #GenerativeAI #Partnership #PrivacyByDesign #Intel #PredictionGuard?
Developer Resources from Intel & Prediction Guard
intel.com
-
?? We’re excited to share that our very own AI Engineer, Aishwarya Ramasethu, will be presenting a lightning talk at the MLOps Community’s upcoming conference! Event Details: ???????Conference: Data Engineering for AI/ML ???????Date: September 12, 2024 ???????Time: 9:00 AM - 4:00 PM EDT ???????Format: Virtual event featuring 40+ expert speakers Aishwarya’s Talk Details: ???????Title: Applying Differential Privacy (DP) to LLM Prompts While Maintaining Accuracy ???????Time: 2:15 PM EDT In her talk, Aishwarya will explore the challenges and solutions for utilizing Large Language Models (LLMs) in sensitive environments, such as healthcare, where privacy is paramount. She will present a practical pipeline that leverages synthetic data to generate differentially private prompts, ensuring strong privacy protections without sacrificing accuracy. This session is essential for anyone interested in the cutting-edge intersection of Differential Privacy and generative AI! Don’t miss out—reserve your spot and join us for an insightful and engaging conference! cc: Daniel Whitenack #MLOps #DifferentialPrivacy #LLMs #AI #DataPrivacy #TechTalk
-
-
I enjoyed watching the OPEA demos: - Daniel Whitenack showed how Prediction Guard components can provide a safe platform for GenAI by providing guardrails - Christopher Calderon deployed OPEA samples to #OpenShiftAI using Validated Patterns - Louie Tsai provided a complete introduction to OPEA, including the OPEA playground using AI Explorer https://lnkd.in/gZKkKiA5 - Chun Tao showed an AI Avatar using OPEA microservices Looking forward to the 0.9 release and the upcoming hackathon.
See how OPEA is streamlining #GenAI workflows with #demos from Prediction Guard, Intel Corporation, and more on August 21st. We will also have a walkthrough about how you can easily get started implementing OPEA yourself. Register now! #virtualevent #RAG #opensource
GenAI Workflow Solutions for Enterprise: OPEA Demo-palooza
www.dhirubhai.net
-
Medical emergency teams can act faster with #AI. SimWerx uses #IntelAI to power Prediction Guard to help save lives by enhancing medical training and operational readiness. https://intel.ly/3YHcAsP #ResponsibleAI #StartsWithIntel #LLM
Enhancing medical training and readiness with AI
-
?? From program participants to good friends. Intel Ignite US cohort 4 alumni Daniel Whitenack, Founder and CEO of Prediction Guard, and Ramin Mohammadi, Ph.D., AI/ML Lead at Tausight, had a real “aha” moment during the program. In addition to being a founder and CEO, Daniel is the host of the Practical AI Podcast, which happens to be Ramin’s favorite podcast! After Ramin connected the dots, Daniel invited him on the podcast and the rest is history. The founder to founder connections and the genuine relationships that emerge from the program represents one of the key ingredients that founders say makes Intel Ignite special. In this episode of the Practical AI Podcast, the two Intel Ignite alumni and good friends discuss the challenges for healthcare providers and those storing private health information (PHI), in knowing where all the sensitive data is stored. Ramin shared how Tausight is using AI at the edge to detect and protect PHI within the healthcare domain. They also delve into challenges that ML practitioners and data scientists might deal with, and the practical aspects of solving this problem. ?? Check out the episode here: https://lnkd.in/dcgDWYfs #IntelIgnite #IamIntel #DeepTech #Startups #EdgeAI #PHI
-
-
Teaching GenAI at GopherCon UK today. This group has great questions, the venue is wonderful, and I'm looking forward to the afternoon. We will be building a Chess application where you can play with Llama 3 and get chess advice using multimodal RAG. #llm #llms #generativeai #golang
-