Deploying open models from Hugging Face on Vertex AI just got even more powerful! 💪 With custom handlers, you can: 📍 Handle unique dependencies (like those with diffusion models) 📍 Manage complex transformations (like converting images to specific formats) 📍 Integrate with external services (like fetching LoRA weights from cloud storage) If you want to learn more about better controlling and customization of your inference pipeline, Álvaro and I publish a blog post and notebook about how to custom handler to serve Google PaliGemma model for image captioning on Vertex AI! 📚 Blog: https://lnkd.in/d7K8pbV2 🔗 Notebook: https://lnkd.in/dKC-vSXC Happy coding 😃 --- Stay tuned 🔔! More content about open models on Vertex AI is coming 😉 And if you find this post helpful 🔥, like, share and let’s connect if you have questions 🤗 #VertexAI #HuggingFace #DeepLearning #AI #ML #CustomHandlers #InferencePipeline #CloudTechnology
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🎉 Course Completion: Generative AI Explorer - Vertex AI 🎉 I'm thrilled to announce that I've completed the "Generative AI Explorer - Vertex AI" course on Google Cloud! Here are the key takeaways: Key Learnings: Image Analysis with Gemini: Explored image analysis capabilities using Gemini. Vertex AI Studio Freeform Mode: Navigated and utilized Vertex AI Studio's Freeform mode for interactive model development. Prompt Design: Crafted text prompts for zero-shot, one-shot, and few-shot learning, and generated conversations using chat prompts. Generative AI Models: Worked with Vertex AI PaLM API models (text-bison, chat-bison, textembedding-gecko) for various applications like ideation, text classification, extraction, and summarization. Custom Training and Deployment: Tuned foundation models using Vertex AI custom training and deployed them to Vertex AI endpoints. Labs Completed: Getting Started with the Gemini 1.5 Pro Model in Vertex AI Generative AI with Vertex AI: Prompt Design Get Started with Vertex AI Studio This course has equipped me with valuable skills in generative AI, prompt design, and model deployment. Thanks to Google Cloud for the enriching experience! #GenerativeAI #VertexAI #GoogleCloud #MachineLearning #AI #PromptDesign #CourseCompletion
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Check out this in-depth demo presented by Weights & Biases (W&B) to see how machine learning practitioners use W&B’s AI developer platform with Google Cloud’s Vertex AI to optimize ML workflows: ⚡ Faster iterations 🎛️ Experiment control 📝 Automated logging of data sets and model versions Unlock the power of AI development with W&B and Vertex AI as part of our Google Cloud Marketplace video series: https://bit.ly/4gpGHM7 #GoogleCloudPartner #VertexAI #GenAI
Weights & Biases: Using the AI developer platform with Vertex AI
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"Thrilled to share that I’ve earned the **Prompt Design in Vertex AI** badge from Google Cloud Skill Boost! This course deepened my understanding of crafting effective prompts for AI models using Google Cloud's Vertex AI. It’s been an insightful journey, enhancing my skills in AI and machine learning. Excited to apply these new tools to drive innovation in AI-driven solutions. Looking forward to leveraging this knowledge in future projects!" #GoogleCloudLearning #GoogleCloudSkillBadge
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Excited to share insights on building Generative AI Agents with Vertex AI Agent Builder and Flutter! Yash Kavaiya deep dive into Machine Learning, Deep Learning, and Generative AI. Learned about Large Language Models and their applications. Explore Google Cloud Platform, Vertex AI Services, and dive into the Vertex AI Agent Architecture. Had a chance on the live demos on building and deploying AI Agents using Vertex AI Agent and Cloud Run, along with utilizing Gemini API with Chainlit and GroQ API with Streamlit. #GoogleIO #Google #AI #Cloud #TechUpdates. See you there! #CloudCommunityDays #GDGCloudRajkot #GDGIndia #conversantech 🥂
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Hello Folks !!! Embarking on the "Prompt Design in Vertex AI" lab within Google Cloud Skill Boost is an excellent way to deepen the understanding of AI and machine learning workflows. Vertex AI is Google Cloud's comprehensive suite designed for building, deploying, and scaling machine learning (ML) models. This lab specifically focuses on mastering the craft of prompt engineering to enhance AI model performance. #googlecloud #studyjam2024 #googlecloudstudyjam2024 #VertexAI #promptdesign #skillbadge #GoogleCloudLearning #GoogleCloudSkillBadge
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Still comparing charts and dashboards the manual way? Discover how GPT-Vision, a powerful AI tool, can streamline this process and boost accuracy. In their latest blog, USEReady’s Sudip Walter Thomas Sayed M explore GPT-Vision's capabilities in comparing multiple chart images, highlighting its advantages in data science and development workflows. Get the AI advantage and learn how to leverage GPT-Vision for efficient image analysis. Click here – https://lnkd.in/eRt8WENq #GPTVision #AI #GenAI #DataAnalysis #DataScience #Cloud #DigitalTransformation #DecisionIntelligence #ArtificialIntelligence #Charts #BusinessDashboards #Blog #Expertise #USEReady Uday Hegde Lalit Bakshi Tanmay Ayare Rashida Tamboowala
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Dive into Generative AI Embeddings: Mastering Azure AI Hub with a Step-by-Step Guide! Explore how Azure's embeddings enhance query understanding and response efficiency. Learn to leverage embedding-ada-002 for semantic search and similarity metrics like cosine similarity. In this comprehensive hands-on tutorial, discover the full spectrum of Azure AI Hub's embedding models. Read the full article here: https://lnkd.in/ggnBg9Ce #generativeai #azure
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Part of a common conversation: Customer: "But LLM supports millions of characters... why the input length and why are we discussing about Output characters? " One of the questions we get stuck upon; here's a quick refresher- Context Window -> The maximum amount of text (or other input data) that the model can process and remember at once. It's the model's short-term memory. Input Character Length -> The maximum number of characters that can be included in a single input to the model. Output Character Length -> The maximum number of characters that will be outputted by the model. #AI #Cloud #VertexAI #Atgeir #GenerativeAI Let's visualize it :
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Anthropic has launched the Citations API for its Claude 3.5 Sonnet and Haiku models, enabling AI to automatically cite specific sentences and passages from source documents when generating responses, which helps reduce AI hallucinations and increase output accuracy. The feature, available through Anthropic's API and Google Cloud's Vertex AI, allows developers to ground AI answers in verifiable sources, with internal evaluations showing up to a 15% improvement in recall accuracy. #ai
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Vertex AI is a Google Cloud platform that lets you train and deploy ML models and AI applications, and customize large language models (LLMs) for use in your AI-powered applications. Completed the Introduction to Vertex AI Studio course. https://lnkd.in/dKsWKFrx #GetTheFutureYouWant #LifeAtCapgemini #GenerativeAI
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