πŸ’‘ 7 New AI Prompts

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πŸ‘€ AI Happenings...

  • ⏏ Spotify ejects thousands of AI-made songs in a purge of fake streams (link)

  • πŸ”Ž Apple co-founder says AI may make scams harder to spot (link)

  •  πŸ‘« AI’s human-like features impact trust in conversations (link)

🧠 Best New AI Tools

  • Taskade: Five tools in one to help you stay organized and get work done. No more getting lost in tabs. (link)

  • Smartwriter AI: Generate 1000s of Personalised Emails that get you 8x more replies within minutes using AI (link)

  • Ocoya: Ocoya helps businesses create, auto-generate, and schedule social media content faster. (link)

  • Unscreen: Remove the background of any video - 100% automatically, online & free! (link)

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πŸ€– Today’s Best New AI Prompts

🀯 Insight: Roles Of Vector Databases And Embeddings In AI

Vector databases and embeddings are the blazing hot trend in AI! Pinecone, a vector DB company, just landed a $100M funding at a valuation of $1B, and bigwigs like Shopify, Brex, and Hubspot are already using them for their AI apps. But what exactly are embeddings, how do they work, and why are they essential in AI?

Embeddings are N-dimensional vectors of numbers that can represent anything from text to music to videos. They're a game-changer because they give us the power of semantic search, allowing us to inject relevant text into an LLM context window despite the pesky context limits that LLMs have. So if you want to stay on the cutting edge of AI, get on board with embeddings!

πŸ‘· Latest AI Jobs from AIJobs.ai

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