Two days ago, I set out to find a way to build a recommendation system with OpenAI but most of the stuff I found made it more complicated but after a crash course on "Embeddings", I think I have figured it out. Embeddings + Vector DB is the solution. #AI #Vector #Embeddings
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Exciting times ahead! Get ready for 12 Days of OpenAI 12 days packed with innovations. 12 livestreams featuring what's next. Big and small surprises to elevate your AI journey. Starting tomorrow, OpenAI will be unveiling a series of updates and announcements that you won’t want to miss. Whether you’re a developer, researcher, or just curious about AI, there’s something for everyone! Follow along as we count down the days with live sessions and exciting reveals. #OpenAI #ArtificialIntelligence #AI
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Yesterday, Anthropic released its Data Analysis tool, and it's another big step in the right direction: a better, cleaner version of what OpenAI released in the past. In this video, I upload 109 typeform responses from our recent AI meetups worldwide, asking Claude to analyse the data and visualise it in a way that best communicates what's going on. It proceeds to - Read the file - Understand what it's about - Pick the most interesting data to talk about - Chooses the most compelling way to visualise it - Builds a dashboard to do so Doing this used to take hours, but now it takes seconds. Tell me again how Generative AI is just hype? :) P.S. I love how Anthropic is starting to clearly show they are the product-led version of OpenAI's research-based approach. When they release something, it's polished, works, and is beautiful, as compared to OpenAI's cutting-edge but often rough-around-the-edges approach. #PracticalAI #FutureOfWork
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New models come out literally weekly at this point, not just LLMs but also embedding models (the work horse of RAG applications)! Make sure when you're building your infrastructure you're building it in a way that makes it trivial to swap between these models so you can be sure you're delivering the most value in your AI adoption. If you are interested in what this means in practice, my dms are always open to discuss AI infrastructure and enterprise adoption
Just launched! The snowflake-arctic-embed family of models - the world’s best practical text-embedding model for retrieval use cases. Outperforms all others in the same size category including those from OpenAI and Cohere. Embedding models, one of the crucial building blocks of modern #AI, power everything from Internet search to RAG applications. Available in Hugging Face with an open-source Apache-2 license and available in Snowflake Cortex, coming soon. Learn more: https://lnkd.in/gxx4YDgG
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Just published my next post on The Reasoning Models Substack covering OpenAI's AVM release yesterday 🗣 If you want the TLDR on what they announced, and some good examples (and one silly one) of how people are using it, check it out. 🔗 to post in comment section below, or just pop over to ReasoningModels(.)com (kinda hard to forget that domain right?) #AI #OpenAI
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RAG lives and dies on the quality of it's retrieval. Snowflake Arctic's embedding models are a set of highly efficient retrieval models that prioritise quality at low cost to run - making high quality search available for all Enterprise use cases. Oh, and on the subject of *all*, we've open sourced the entire set. 🤗 The web search expertise of the Neeva team have played an enormous part in this story - I highly recommend reading this blog on how these models were trained end-to-end on Snowflake: https://lnkd.in/gzwtDkvJ
Just launched! The snowflake-arctic-embed family of models - the world’s best practical text-embedding model for retrieval use cases. Outperforms all others in the same size category including those from OpenAI and Cohere. Embedding models, one of the crucial building blocks of modern #AI, power everything from Internet search to RAG applications. Available in Hugging Face with an open-source Apache-2 license and available in Snowflake Cortex, coming soon. Learn more: https://lnkd.in/gxx4YDgG
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Exciting news from OpenAI! 🚀 While last year's event in San Francisco was filled with groundbreaking announcements, this fall's DevDay promises to be a more intimate and focused gathering. Although we won't be seeing GPT-5 just yet, it's clear that OpenAI is gearing up for some interesting developments. Stay tuned for updates! #AI #TechInnovation #OpenAI
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🎬 Discover your next favorite movie with our Movie Recommendation system powered by Milvus! 🌟 Utilize OpenAI embeddings to match your preferences and explore a vast dataset of over 8,000 movies. 📊 🚀 Step-by-step guide to building your own movie recommendation app with Milvus! 🔗 Check it out here: https://lnkd.in/gCsMtDTk #Milvus #MovieRecommendation #AI #Vectordb
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I love seeing innovation in this space that is focused on problems that every company faces: getting the highest quality results *fast*, in an efficient way, and delivered in the easiest way possible! #DataCloud #OnePlatform
Just launched! The snowflake-arctic-embed family of models - the world’s best practical text-embedding model for retrieval use cases. Outperforms all others in the same size category including those from OpenAI and Cohere. Embedding models, one of the crucial building blocks of modern #AI, power everything from Internet search to RAG applications. Available in Hugging Face with an open-source Apache-2 license and available in Snowflake Cortex, coming soon. Learn more: https://lnkd.in/gxx4YDgG
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Have you heard about the groundbreaking launch from OpenAI? Introducing SearchGPT – the next level of advanced, innovative AI search. Say goodbye to Google Search👋 Discover the incredible features of SearchGPT in this video. Watch now! #OpenAi #Grayphite #ITcompany #trend2024 #SearchGPT
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Budding Backend Developer | Student @Univelcity
4moWhat makes embeddings and vector DB efficient?