Relevance AI

💥 With the news of OpenAI's latest bombshell - the o1 model series o1-preview and o1-mini, which represent a leap forward in reasoning capabilities - Daniel Palmer sat down with Jason Zhou a.k.a AI Jason to break down what this all means. Here are the key take aways from the chat: 🧠 Enhanced Reasoning: o1 models introduce a sophisticated "thinking process," mimicking human-like reasoning for complex tasks. This approach allows for more nuanced problem-solving and strategic thinking. ⏱️ Performance Trade-offs: While these models demonstrate improved reasoning capabilities, they operate significantly slower than their predecessors. Tasks that once took seconds may now require minutes to complete. 💻 Specialized Excellence: o1 shows particular strength in coding and mathematical reasoning, potentially revolutionizing these fields. Early tests demonstrate impressive results in app development and complex problem-solving. 🚀 Development Implications: This advancement opens new avenues for improving AI accuracy and creating more nuanced systems. It may shift the focus from pre-training to inference-stage computing power. 🔍 Transparency in AI: We may see a shift towards interfaces that reveal the AI's decision-making process, offering greater insight into its operations and allowing for more interactive user experiences. Click the link in the comments to watch!

🎉 Exciting News! 🎉 We are thrilled to announce that we have been selected into the AWS Generative AI Accelerator! 🚀 A huge thank you to AWS Startups for this incredible opportunity. Being part of the #AWSGenAIAccelerator is a major milestone for us, and we are eager to leverage the support and resources provided by AWS to push the boundaries of AI innovation. Stay tuned for updates as we embark on this exciting journey to revolutionize the future of generative AI! 🌟 #GenerativeAI #AWSGenAIAccelerator2024

We have a large community who love building agentic and generative automation on Relevance AI 👷♀️👷🏽 We want to give them the support they deserve, so we're looking for our first dedicated hire in customer support! If you're: 🛠 At your best in technical products 👷♂️ Love working with builder personas 🧠 Experienced at developing support functions Apply here: https://lnkd.in/d6bpUhyZ

We're on the look out for more Software Engineers to join us at Relevance AI! Attributes I particularly love to see (not required!): 🛠 Want an environment to accelerate learning ✨ Come from a diverse or under-represented background ❤️ Have contributed to open source ✅ Love to teach others (like Ervin below!) Apply here: https://lnkd.in/dW5RavMz

Learn how to trigger your Relevance AI agent using Zapier. 🚀 In this tutorial we cover: 🔗 How to set up a Zapier integration with Relevance AI. 🔔 Creating a trigger from new Google Sheets rows. 🧠 Configuring your agent to perform tasks based on spreadsheet data. 👉 Click the link in the comments to watch the video.

Discover how to leverage the power of JavaScript and Python code steps within Relevance AI's tool builder. In this tutorial, we cover: 🔗 Accessing step results and user inputs directly by variable names. ❓The differences between JavaScript and Python code steps. 📦 How to import and use Python packages.  ⚙️ Accessing advanced settings.  🛠️ Tips for building complex, powerful tools by combining no-code steps with custom code. 👉 Click the link in the comments to watch.

Learn how to integrate your AI agent with Gmail in this step-by-step tutorial. We cover:  📨 Setting up email triggers for your agent. 🔔 Creating tasks from incoming emails. 💬 Configuring your agent to reply to email threads. 🧵 Using message IDs and thread IDs for proper email threading. ⚙️ Customizing email filtering and processing cadence. 👉 Click the link in the comments to watch. 

Content creation is one of the most common use cases for generative AI, so we’ve been been experimenting with builds that help you get the most of out LLMs. In our latest video, Daniel Palmer teaches you how how to create an AI tool using Relevance AI that generates long, content-rich blog posts complete with custom thumbnails at scale, and uploads them directly to Webflow. In this tutorial we cover: 🧠 Multi-stage prompting techniques for detailed, structured content generation. 🏆 Maintaining content quality and consistency. 🔍 Seamless integration of Google search results and YouTube video embedding.  🎨 AI image generation and custom thumbnail creation. 🌐 Leveraging the Webflow API for automated content publishing. ⏰ Batch scheduling of AI agents for bulk content creation. 👉 Click the link in the comments to watch the video, and let us know what you want us to build next!

⚡ Unlock the full potential of the Relevance AI tool builder. In this tutorial, you’ll learn the intricacies of using outputs, a crucial aspect of building powerful and efficient tools. We cover:  🔄 How to effectively pass data between steps.  💻 Using JavaScript and Python code steps.  🔍 Leveraging Google search results in your tools.  🛠️ Customizing tool outputs for maximum flexibility.  🧠 Advanced techniques for data manipulation and extraction. 👉  Click the link in the comments to watch. 

Learn how to build an AI Tool that automatically transforms your boring Shopify product titles and descriptions into compelling, SEO-friendly content. In this tutorial, we cover: 🛍 Pulling product data from Shopify API. 👁 Using LLM vision models to analyze product images. 🔎 Generating SEO-optimized titles and descriptions with AI. 📤 Uploading enhanced content back to Shopify. 🔐 Implementing API authentication and custom secrets. 🔁 Looping through products with for-each functionality.   👉 Click the link in the comments to check out the video.