Cerebral Valley’s Post

A nice deep dive on Dosu by Cerebral Valley. In this convo, our founder Devin shares insights into Dosu’s journey, his thoughts on open-source vs. closed-source, and how Dosu stands out. Dosu - every developer's AI teammate 💻 https://lnkd.in/g3Xumkck

More news from #GoogleCloudNext — DataStax's new integration with Vertex AI Search empowers you to leverage your Astra DB data to build conversational AI applications. 🤖💬 Check out the blog to learn more! #DataStax #RAGApplications #VertexAI https://ow.ly/jFpC30sBzQE

More news from #GoogleCloudNext — DataStax's new integration with Vertex AI Search empowers you to leverage your Astra DB data to build conversational AI applications. 🤖💬 Check out the blog to learn more! #DataStax #RAGApplications #VertexAI https://ow.ly/Pim230sBF9m

More news from #GoogleCloudNext — DataStax's new integration with Vertex AI Search empowers you to leverage your Astra DB data to build conversational AI applications. 🤖💬 Check out the blog to learn more! #DataStax #RAGApplications #VertexAI https://ow.ly/u4K930sBYV3

Learn more about how Gradient is helping build the next million private AI applications with our simple fine tuning and inference APIs!

Say hello to Semantic Kernel V1.0.1 Why it matters: Semantic Kernel represents a significant advancement in the development of custom copilots and AI applications. It addresses key challenges in AI development, including the integration of AI with existing business processes, handling complex tasks, and providing a framework for continuous improvement. Its plugin architecture and support for large language models make it an invaluable tool for developers looking to build sophisticated and effective AI solutions within the Microsoft ecosystem. https://lnkd.in/gAEhYN-c

🎉 Celebrations are in order for Mariia Nesterenko of Banksia Global, who secured second place in a challenging competition involving 21 participants from the InterSystems Developer Community article contest! Curious about Maria's winning article, "Tutorial: Adding OpenAI to Interoperability Production"? Dive in to discover how you can effortlessly infuse Generative AI powers into your InterSystems IRIS business workflows. Click here to explore the full article: https://lnkd.in/g9wj6D8S #IntrSystems #DeveloperCoomunity #winner #GenAI

GenAI is core to everything we do at Off/Script. Every month, our studio generates over 300,000 AI product concepts for our users, while layering in thousands of data points from our manufacturing network. Soon, our model will capture millions of in-app user votes to influence rendering right at the time of image creation. As the tech’s capabilities and Off/Script continue to evolve alongside one another, here are some of our perspectives regarding how to best deal with the rapid pace of innovation in the space. 1) Hallucination-as-a-feature use cases will be adopted first: Use cases enriched by the probabilistic nature of GenAI computing such as creativity (multi-media generation), conversation (coding, customer support), and social (companions) will become mainstream before those where deterministic outputs are required, like health, security, finance, and legal. 2) A handful of players will dominate the foundational LLM layer: Compute, talent, and capital concentration will make it almost impossible for emerging players to compete with hyperscalers or a small cohort of well-funded start-ups on foundational model quality. 3) Cost won’t prohibit adoption: Whether from open source or API-first models where inference costs are abstracted away for end-users, access to affordable, cutting-edge GenAI capabilities will be accessible to all. 4) Emergent capabilities of foundational LLMs are still very much in their early innings: We’ve yet to see how deep general models will be able to go for verticalized use cases. It is our perspective that for any use case falling in the 0-98% accuracy grid (broadly all of the consumer market), there is no need to build any form of proprietary model from scratch. 5) Security, workflows integration, and (truly) proprietary data will be the 3 core differentiators for start-ups across both consumer and enterprise. There are ways to build lasting defensibility on top of an open technology layer by incorporating fine-tuning techniques using proprietary data and unique worklflow capabilities leveraging one's core product features. Combining all the above means that knowing where foundational models’ capabilities end and where yours as a company begin is key to making proper resource allocation decisions. We’ve yet to see how far base LLMs can go, and we know they’ll become more affordable over time. In the case of Off/Script, workflow integration and proprietary data capture are our core focus as we continue investing in our ML capabilities. Fun times to be building 😊