Amit Zavery

Check out our latest #PrivateAI performance benchmark, showcasing the value of virtualization. You can share capacity among teams or tenants, share GPUs among applications, have a lower TCO and predictable costs, all without sacrificing performance. Great work Uday K., Lan Vu, and Hari Sivaraman to show how you can even connect a VM to 8 physical H100s (our max is 16), and achieve excellent MLPerf results. The summary nails the overall value, and check out the full results in the link. "We used only 32 logical CPU cores and 128GB of memory for this inference benchmarking—that’s a key benefit of virtualization. This lets you use the remaining CPU and memory capacity on the same systems to run other workloads, save on the cost of ML/AI infrastructure, and leverage the virtualization benefits of vSphere for managing data centers." https://lnkd.in/gywggCPN

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Ai : Hunanity's greatest creation for Good and Bad. To secure ourself #zerotrustai In the journey, MS brings up VASA-1 will AI model which essentially spins a selfie image and turn it into a talking clip of you. All you have to do is upload a photo along with a voice note and let the AI model do the talking for you.

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Turbocharge your cloud applications: ⚡ Vector search on Memorystore for Redis is now GA, offering ultra-fast in-memory search for #generativeAI apps where user experience matters ⚡ New node types are GA on Memorystore for Redis Cluster #GoogleCloudNext #GoogleCloudConsulting

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One of the few women in South Asia - Ritu Mehrotra who is building and leading a deep tech company on a global scale and making waves through the US as we talk. If you haven't heard her story or the way she she is planning the momentum to dent and bring a vital change within the mental health space globally through GenAI and Deep tech then you should listen to her, for once. Its great to see her talk with some Awesome Starcast Leaders on this Talk Gen AI platform in San Fran. Happy and enlightened to work with an awesome, inspiring and wonderful founder - Ritu , who means and plans to bring a change by doing things as they should be done like with a gigantic leadership stance. We are the one of the first and finest companies with gold standard efficacy and intent detection in the Gen AI space when we talk about chatbots. If you are a healthcare system, payor or anyone in the employer category in the US wanting to bring in productivity, agility and create full blown support to mental health and well being then you should connect with us. I am sure it will be a joyride. Also please remember the coffee is on us :) Godspeed. United We Care Google NVIDIA Amazon Web Services (AWS) AstraZeneca Geodesic Capital Blitzscaling Ventures Civilization Ventures Everest Group Ritu Mehrotra Shumita Kakkar Sourav Banerjee #genAI #deeptech #AI #technology #mentalhealth #humanresources #healthcare #healthtech #artificialintellegence #hr

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Multi cloud GenAI needs, with all the building blocks for modern applications, from MongoDB...

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At Elemental Cognition, we’re transforming #GenAI solutions using #ApacheKafka and Confluent. In this The New Stack article, I shared how our AI platform uses Kafka and Confluent Cloud to stream and vet data in real-time before the EC Reasoning Engine applies formal logic for transparent, accurate solutions. Check out the article for a deep dive into the best practices we’ve learned for building reliable GenAI apps. https://lnkd.in/eU5RupZu

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Extracting Entities and Relationships from your unstructured data are just some of the things we do. Check us out on #awsmarketplace!

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We are announcing the availability of Anthropic’s Claude 3 Opus on Amazon Bedrock, the most intelligent Claude 3 model, with best-in-market performance on highly complex tasks. It can navigate open-ended prompts and sight-unseen scenarios with remarkable fluency and human-like understanding, leading the frontier of general intelligence.

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Fellow in-house taxonomists, ontologists, metadata managers, and semantic wizards: what is the name of the team or business unit that you work within? I have the good fortune of getting to rename the "Content Standards" program I lead at Kaiser Permanente IT. My team has determined that the name is too vague to convey the core activities of the program, and leads to confusion with the cross-functional teams we collaborate with. I'm looking for a clear name that will resonate with stakeholders within my org. So I've got a very classic taxonomist question: What to call the program? 🤔 For some context... What my program is responsible for: - Defining and governing standards for metadata, structured data, taxonomy, and ontology for classifying/structuring digital content - Implementing processes and platforms to good metadata hygiene - Assessment and remediation of content metadata What my program doesn't cover: - Writing or editorial style guides - Content design - Content strategy - Site maps or navigational structure - Data governance Any ideas are most welcome!

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What’s Next: RunWhen's Kyle Forster talks open source and microservices SDxCentral CEO Matt Palmer speaks with RunWhen's Kyle Forster about a better way for companies to support gigantic code bases.

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🎉 @New Relic AI monitoring, the industry’s first APM for AI, is GA! New Relic AI monitoring empowers engineers with visibility and insights across the AI stack, making it easier to troubleshoot and optimize AI apps for performance and cost—all while ensuring data privacy and security. Get started:

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Tuesday at the Cannes Lions International Festival of Creativity begins with Razorfish announcing R-Index, a data measurement solution in collaboration with Google Cloud. From Sisi Zhang, Chief Data and Analytics Officer at Razorfish: “What sets R-Index apart is its unique ability to measure brand sentiment and equity among consumers, closing the gap between complexity and clarity for brands and driving more relevance for consumers based on actual needs.” More details here: https://lnkd.in/e_TDWP6j #Cannes2024 #CannesLions #data #consumersentiment #brandperformance

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With Google Cloud at #GoogleCloudNext in Las Vegas last week, our teams unveiled a host of useful AI updates for enterprises and developers. Among the highlights, Gemini 1.5 Pro is now available in public preview via Vertex AI and makes a big leap by gaining advanced audio processing - now able to analyse recordings like music and speech to generate high-quality transcriptions and nuanced content analysis. Imagen 2 now includes the ability to generate 4-second live images from a single text prompt, as well as advanced photo editing tools, offering new creative avenues for content creators. And the introduction of CodeGemma and RecurrentGemma brings enhanced capabilities to developers with powerful, efficient models for creative ingenuity. I’m so impressed by how our teams continue to bring advanced technology to real-world applications, creating AI solutions that push the boundaries and deliver tangible benefits to businesses and developers worldwide, all while remaining in line with our vision of applying AI for the greater good. Find out more: https://dpmd.ai/lcn

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*Mixture of Agents (MoA)* is an innovative way to boost Large Language Models’ performance by leveraging the strengths of multiple agents as a team. Layered Architecture: MoA arranges many LLMs in layered architecture, each layer composed of numerous individual agents(LLMs). Collaboration: These agents generate responses that are based on outputs from the previous layer’s agents. They repeatedly refine and enhance the last output. Diverse Insights: By integrating different capabilities and insights from various models, MoA achieves a more powerful combined model that is secure against diverse risks. Performance Boost: MoA outperforms standalone LLMs by a wide margin. For instance, it set a new benchmark with 65.1% on AlpacaEval 2.0 as against GPT-4 Omni at 57.5%, using only open-source models. In short, if we combine language modelers’ strengths then it results in increased efficiency and versatility. Here is a nice implementation of MOA by Together AI Github source: https://lnkd.in/dMCVRS3D #AI #LLM #LargeLanguageModels #MachineLearning

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"Developers love MongoDB and the experience around it" Says Sahir Azam as he gave some amazing insights into MongoDB's future vision and the company's passion for empowering developers with intelligent data tools. It is admirable how our team has strengthened bonds with incredible cloud providers like AWS, Azure, and Google to use the power of large language models and enhance our database ecosystem. By coupling our modern data platform with advanced AI, we are committed to always striving to enrich the inner loop of the developer experience. #MongoDB #artificialintelligence #generativeai

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RAG architectures enhance #LLMs by integrating proprietary data, but maintaining data freshness poses challenges. 🤯 Continuous updates of vector embeddings ensure accuracy in AI models’ responses. ✅ The below solution uses MongoDB Atlas Stream Processing and MongoDB Atlas Vector Search to streamline the updating and searching of embeddings, simplifying the process for developers. 👇 https://lnkd.in/eNGxSp7k

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