🚀 Revolutionize Search with Vector Search, OpenAI, & Supabase Say goodbye to outdated keyword searches and hello to smarter, AI-driven search experiences! Dive into Navdeep Singh latest blog to learn how vector search transforms the way we search—integrating OpenAI Embeddings with Supabase's vector capabilities for contextual, accurate results. 💡 If you're building future-ready applications, this is a must-read! 👉 Discover the full blog here: https://lnkd.in/dvN4-k8P Huge thanks to Navdeep for driving innovation and sharing these cutting-edge insights. 🙌
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SearchGPT: What you need to know about OpenAI’s search engine
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SearchGPT: What you need to know about OpenAI’s search engine
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SearchGPT: What you need to know about OpenAI’s search engine
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SearchGPT: What you need to know about OpenAI’s search engine #searchgpt #openai #searchengine
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SEO Manager | Expert in Generative AI, Python, SQL & Data Analysis | Driving Data-Driven Growth
Hey everyone, introducing another tool to help bulk optimize meta elements across hundreds of web pages in 5 minutes or less! How It Works: All you need to do is include in a spreadsheet your page URLs, meta elements (H1 tag, meta title, meta description), and primary keyword targets per URL (this is optional). Then, use your OpenAI API key, upload your spreadsheet, and gpt-4o-mini will go through with specific prompting instructions to rewrite your existing title tags, H1s, or meta descriptions at scale. Why It's Useful: Often times when I've conducted technical audits, it can be cumbersome or counterproductive to go through hundreds or thousands of web pages to fix overly long / thin meta elements. This tool helps to reduce some of that manual effort -- you'll still need to validate, but it can save hours of time rewriting those elements on your behalf. Check out the tool and let me know what you think! https://lnkd.in/gvUsRjw6
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SearchGPT: What you need to know about OpenAI’s search engine
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Search startup Exa wants to leverage #generative search by using #LLMs to turn the internet’s chaotic tangle of web pages into a #directory. Can it offer better #web search experiences than Google & OpenAI? Read on! https://lnkd.in/dcuVgbb9 #GenAI #WebSearch #TechNews #StayInformed #StayAhead #dailydose #followus #staytuned #stayconnected #technews #technology #trending #trendingnow #trendingnews #explore #explorepage #techdogs
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Retired technology and technical marketing writer, Six Sigma Black belt; System Analyst/ Software Engineer; IBM/Microsoft trained AI user
SearchGPT: What you need to know about OpenAI’s search engine https://buff.ly/3Zm6fDy
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Full Stack Data Scientist @ Factually Health | Data-Driven Leadership | NLP | DL | Python | Django | Revenue Growth | Problem Solver
🌟 That is fantastic news! 🌟 🚀 With OpenAI opening the meta-prompts they use in their feature called “prompt optimization,” that would mean we can work with these models in a far more detailed and intelligent way. 📝 We know how to articulate exactly what we need with meta-prompts and meta-schemas, and the model returns it using best practices with structured patterns. 🔑 There are two important aspects: 1️⃣ Meta-prompts: These utilize best practices to hint at the model and elicit the generation or refinement of a prompt by the model, based on some task description. They help ensure the model is primed for generating a response aligned with user needs. 2️⃣ Meta-schemas: These schemas help the model generate valid JSON or functional syntax given an input query. Each meta-schema includes a prompt and some examples to explain the task. 🎯 That is quite a leap forward from a professional point of view. This lessens the guesswork that usually goes into making good, fitting outputs by making the interactions with the models more concise and to the point. 👏 I’m glad to see OpenAI investing in making these processes more transparent to better articulate our needs and goals to the models. #OpenAI #AI #PromptOptimization #MetaPrompts #MetaSchemas #ArtificialIntelligence #TechInnovation
No speculations anymore! OpenAI published the meta prompts they use their "prompt optimization" feature they launched at DevDay to their documentation. 👀 The Generate button uses two main approaches: > Prompts: Meta-prompts that incorporate best practices to generate or improve prompts. It instructs the model to create a good prompt based on your task description or improve an existing one. > Schemas: Meta-schemas that produce valid JSON and function syntax based on user query. Each meta-schema has a corresponding prompt that includes a few shot examples. Docs: https://lnkd.in/e78CGEj2
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