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Accelerate innovation with Power Virtual Agents + AI Builder! Discover how these tools empower developers of all levels to create lightning-fast, AI-powered solutions. Explore the synergy of AI and low-code tools in our blog!

AI is more than a buzzword—it’s a critical infrastructure technology that RevOps teams can leverage to drive real impact. Our new AI Agent Factory makes it easy for RevOps to build with AI by keeping the tech accessible and user-friendly, with an intuitive no-code interface. All you need is the right set of tools to turn potential into performance! https://bit.ly/4fpNrsm #RevOps #DataQuality #AI

AI transcends being just a buzzword—it's an essential infrastructure technology that RevOps teams can utilize to achieve significant results. Our latest AI Agent Factory simplifies AI development for RevOps by ensuring the technology remains accessible and easy to use, featuring an intuitive no-code interface. With the right tools, you can transform potential into performance! https://gag.gl/L7ihUQ #RevOps #DataQuality #AI

Companies that want to keep pace with AI and its business applications are still facing barriers to entry due to the cost and complexities of integrating accurate and trustworthy AI and machine learning projects. seekr Technologies Inc. is changing that. With the launch of its enterprise-ready platform, SeekrFlow, businesses can now train, validate, deploy, and scale AI applications in under 30 minutes—all through an intuitive, no-code interface. Congratulations to our Broadsheet Communications client for advancing the frontier of AI technology. Read more about it in SiliconANGLE & theCUBE below. https://lnkd.in/etvXCUR3

Let's talk about deploying #LLMs in production. Here are 4 approaches to deploy LLMs in production...Read👇 These four approaches range from easy and cheap to difficult and expensive to deploy, and enterprises should assess their AI maturity, model selection (open vs. closed), data available, use cases, and investment resources when choosing the approach that works for their company’s AI strategy. 1. Prompt Engineering with Context: Many enterprises will begin their LLM journey with this approach since it’s the most cost effective and time efficient. This involves directly calling third party AI providers like OpenAI, Cohere or Anthropic with a prompt. However, given that these are generalized LLMs, they might not respond to a question unless it’s framed in a specific way or elicit the right response unless it’s guided with some more direction. Building these prompts, also called “Prompt Engineering”, involves creative writing skills and multiple iterations to get the best response. 2. Retrieval Augmented Generation (RAG): Foundation models are trained with general domain corpora, making them less effective in generating domain-specific responses. As a result, enterprises will want to deploy LLMs on their own data to unlock use cases in their domain (e.g. customer chatbots on documentation and support, internal chatbots on IT instructions, etc), or generate responses that are up-to-date or using non-public information. However, many times there might be insufficient instructions to justify fine tuning a model, let alone training a new one. In this case, enterprises can use RAG to augment prompts by using external data in the form of one or more documents or chunks of them, and is then passed as context in the prompt so the LLM can correctly respond with that information. 3. Fine Tuned Model: While prompt engineering and RAG can be a good option for some enterprise use cases, we also reviewed their shortcomings. As the amount of enterprise data and the criticality of the use case increases, fine tuning an LLM offers a better ROI. When you fine tune, the LLM absorbs your fine tuning dataset knowledge into the model itself, updating its weights. So, once the LLM is finetuned, you no longer have to send examples or other information in the context of a prompt. 4. Trained Model: If you have a domain specific use case and a large amount of domain centric data, then training an LLM from scratch can provide the highest quality LLM. This approach is by far the most difficult and expensive to adopt. Enterprises need to be aware of costs related to training LLMs from scratch since they require large amounts of compute that can add up costs very quickly. This is an amazing article if you like to know more: https://lnkd.in/gD6gwxCu No matter what approach you choose, you need a vector database. Try SingleStore database for free: https://lnkd.in/gCAbwtTC

AI goes beyond being just a buzzword—it's an essential infrastructure technology that RevOps teams can utilize to create significant impact. Our latest AI Agent Factory simplifies the process for RevOps to work with AI by ensuring the technology remains accessible and user-friendly, featuring an intuitive no-code interface. All it takes is the right set of tools to transform potential into performance! https://gag.gl/L7ihUQ #RevOps #DataQuality #AI

AI goes beyond being just a trendy term—it's an essential infrastructure technology that RevOps teams can utilize to achieve significant results. Our latest AI Agent Factory simplifies the process for RevOps to integrate AI by ensuring the technology remains accessible and user-friendly, featuring an intuitive no-code interface. The right tools are all you need to transform potential into performance! https://gag.gl/L7ihUQ #RevOps #DataQuality #AI

AI goes beyond being just a buzzword—it's an essential infrastructure technology that RevOps teams can utilize to create significant impact. Our latest AI Agent Factory simplifies the process for RevOps to work with AI by ensuring the technology remains accessible and easy to use, featuring an intuitive no-code interface. All that's required is the right set of tools to transform potential into performance! https://gag.gl/L7ihUQ #RevOps #DataQuality #AI

AI is not just a trendy term—it’s an essential infrastructure technology that RevOps teams can utilize to achieve significant results. Our latest AI Agent Factory simplifies the process for RevOps to create with AI by ensuring the technology remains accessible and easy to use, featuring a straightforward no-code interface. With the right tools, you can transform potential into performance! https://gag.gl/L7ihUQ #RevOps #DataQuality #AI

AI is not just a trend—it’s an essential infrastructure technology that RevOps teams can use to create significant impact. Our new AI Agent Factory simplifies the process for RevOps to build with AI by ensuring the technology remains accessible and easy to use, featuring an intuitive no-code interface. All you need is the right set of tools to transform potential into performance! https://gag.gl/L7ihUQ #RevOps #DataQuality #AI