New video on building a Q&A chatbot 💬 https://nvda.ws/3XaWchY ✅ 𝐄𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧: Use NVIDIA NIM microservices to convert text into top-quality embeddings. ✅ 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞: Store and retrieve embeddings efficiently with GPU-accelerated Milvus. ✅ 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐀𝐈 𝐚𝐭 𝐌𝐞𝐭𝐚 𝐋𝐥𝐚𝐦𝐚 3: Utilize the NIM API Llama 3 model for accurate responses to user queries. ✅ 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱: Seamlessly integrate and manage all components for a smooth Q&A experience.
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Check out our video on building a Q&A chatbot! Here's what we cover: ➡️ #EmbeddingCreation: Use NVIDIA #NIM microservices to convert text into top-quality embeddings. ➡️ #VectorDatabase: Store and retrieve embeddings efficiently with GPU-accelerated Milvus. ➡️ #Inference with #Llama3: Utilize the NIM #API Llama 3 model for accurate responses to user queries. ➡️ Orchestration with #LlamaIndex: Seamlessly integrate and manage all components for a smooth Q&A experience.
Building LLM Assistants with LlamaIndex, NVIDIA NIM, and Milvus | LLM App Development
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What is this you ask? This is Phi 2 running on an Nvidia 3050ti from a Progressive Web App, at real time speed, no edits. The model is run on the GPU using the WebGPU api. AI on the Web is HERE!
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Discover the power of NVIDIA Parakeet and Canary speech-to-text and multilingual P-Flow text-to-speech! Learn how they're setting new records for accuracy, speed, and data-efficient creation of multilingual voices for #LLM and #RAG based apps. https://nvda.ws/3TDZ5Y3
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Transform your PDF documents into dynamic knowledge graphs with Neo4j! Morgan Senechal and Niels de Jong gave a great live demo worth re-watching! More about Neo4j GenAI: https://bit.ly/3TmKsIQ #Neo4j #KnowledgeGraph #LLMs
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🔍 Curious about the future of AI in app development? VMware Tanzu's on-demand webinar covers everything from trends to actionable strategies for building intelligent applications 💻 Watch the replay NOW!
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🛑 STOP wasting your time looking for files that have been incorrectly saved with the wrong file name, or location. Using our Xerox® Intelligent Filer App. We can help you streamline document processes powered by #AI to better prioritize challenging tasks. #Xerox #XeroxIntelligentFiler
Xerox Intelligent Filer App
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Utilize the revamped Windows for Arm systems and AI enhancements to enhance performance and efficiency on mobile PC platforms. Embrace the new Arm-based technology and improved emulation capabilities to bring more native apps to your Windows system. Take advantage of the updated Windows OS features optimized for Arm chips to improve overall functionality and user experience. #Microsoft #Copilot+ #ArmSupport #AIEnhancements #Efficiency At Grow Scale Win™, we're all about using AI to enhance productivity and efficiency. That's why we've built the AI Growth System™, a truly holistic approach to growing your business. You get a personalized growth strategy and a full suite of AI powered tools to generate leads, nurture prospects, and close sales. Learn more at www.growscalewin.com. DM us with any questions. Read more about this post here: https://lnkd.in/e96ypVih
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ᓚᘏᗢ Pipecat 0.50 release today. (A nice, round number!) Pipecat is the Open Source ecosystem for realtime, conversational AI. It has become the standard framework for building voice agents, realtime assistants, and multimodal copilots or all kinds. Today's release includes extensive support for Google's new Multimodal Live API and the advanced audio, image, and video features in Gemini 2.0. Some higlights of the release: *️⃣ New: Pipecat client-side SDKs for JavaScript, React, Android, iOS, and C++ *️⃣ Gemini Multimodal Live API *️⃣ NVIDIA NIM LLM containers *️⃣ NVIDIA Riva speech-to-text and text-to-speech *️⃣ Lots of new examples, including for the new Gemini Multimodal API *️⃣ Autogenerated reference docs! Here's a complete starter kit for building your own multimodal chat app with: with: - a voice-to-voice WebSocket mode, - an HTTP mode for text and image input, and - a WebRTC mode with text, voice, camera video and screenshare video https://lnkd.in/gBZgJ_9b
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New video on building a Q&A chatbot 💬 https://nvda.ws/3XaWchY ✅ Embedding Creation: Use NVIDIA NIM microservices to convert text into top-quality embeddings. ✅ Vector Database: Store and retrieve embeddings efficiently with GPU-accelerated Milvus. ✅ Inference with AI at Meta Llama 3: Utilize the NIM API Llama 3 model for accurate responses to user queries. ✅ Orchestration with LlamaIndex: Seamlessly integrate and manage all components for a smooth Q&A experience.
Building LLM Assistants with LlamaIndex, NVIDIA NIM, and Milvus | LLM App Development
https://www.youtube.com/
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