Generative AI

🥇 🥈 🥉 Introducing Generative AI's Most Trusted AI Rankings! 🌟 Choose the best AI application from over 2,500 AI tools. 🚀 Looking for the best AI tool to boost your productivity? 🤖 We have the perfect solution for you! -> https://lnkd.in/dRsiXDmW 🗳️ Vote for your favorite AI App and see the most trustworthy rankings, based solely on real user votes and authentic data. 🔍 Discover which AI tools the world trusts and uses. Be part of a community that values transparency and reliability. OpenAI Wand Midjourney Runway Gamma Otter.ai Jurny Chatsimple Anthropic CustomGPT.ai Lyzr AI Sembly AI Bland AI Notion Buzzy Replit GitHub CapCut Pika Freepik HeyGen Taskade Coveo NLPearl Noota Vectara Gretel.ai WhiteBridge.ai Jenni AI Perplexity Luma AI YouAI BoodleBox and a lot of more... 👉 Check out the rankings now and cast your vote! #AI #Productivity #GenAIWorks #TechInnovation #Ranking

💥 OpenAI 𝐡𝐚𝐬 𝐚𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐝 𝐅𝐑𝐄𝐄 𝐟𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐧𝐞𝐰 𝐆𝐏𝐓-𝟒𝐨 𝐦𝐢𝐧𝐢 𝐦𝐨𝐝𝐞𝐥 𝐮𝐧𝐭𝐢𝐥 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟐𝟑𝐫𝐝 OpenAI has raised the stakes in the AI race by offering free fine-tuning for its GPT-4o Mini model, just hours after Meta released its open-source Llama 3.1 model. Here’s why you should be excited: 🔍𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞: Fine-tuning allows you to tailor GPT-4o mini to your specific needs, ensuring more accurate and relevant outputs for your applications. Whether you're working on customer support chatbots, complex data analysis, or real-time interactions, this model is designed to handle it with higher performance. 💡 𝐂𝐨𝐬𝐭-𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Compared to GPT-3.5 Turbo, GPT-4o mini is more cost-efficient, offering longer context and lower latency. This means you can do more with less, making your AI solutions not only smarter but also more economical. 🌐 𝐀𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Currently available for Tier 4 and 5 users, OpenAI plans to extend this offer to all tiers gradually. Each organization gets 2M training tokens per day for free, providing ample resources to experiment and perfect your models. Head over to your fine-tuning dashboard, select “create,” and choose “GPT-4o mini” from the base model drop-down menu. It's that simple! Read more: https://lnkd.in/guAazCd7 credit: OpenAIDevs #ai #tech #chatgpt #generativeai

🤖 𝐀𝐟𝐟𝐨𝐫𝐝𝐚𝐛𝐥𝐞 𝐀𝐈 Experience the quality of Claude 3.5 Sonnet at a fraction of the cost and latency. Simply provide an example of your task, and Sonnet will train 4o-mini (20 times cheaper!) to perform it flawlessly. Try on github: https://shorturl.at/sbOPl Credit: mattshumer_ #ai #tech #innovation

Imagine a community space around world-famous landmarks. Which one do you like the most? Credit: IG/ se.hunchoi #designmidjourney #ai #generativeai

Villa in the rock generated by AI 😍 Would you like to stay here? Credit: sunt_mrr #ai #generativeai #aiart

If only extreme sports were just child's play 🌊 Al-generated videos: Midjourney • Magnific Al • Luma labs Credit: ifonly.ai & jyo_john_mulloor / IG Share your thoughts 👇 #ai #generativeai #aiart

OpenAI has released a series of videos generated by their model, Sora. This particular video, created in collaboration with artists Manuel Sansily and Will Selviz, is part of this series. While the video itself was generated by Sora without any visual effects, the artists added sound and edited it using traditional filmmaking software. Access to Sora is currently limited. Share your thoughts 💭 #ai #generativeai #aiart

Another interesting conversation with the popular robot Ameca 🤖 Do you find it disturbing ? Credit: obathegreat #ai #tech #robotics

If only “home sweet home” would be taken literally 🍭 Share your thoughts 💭 Credit: ifonly / IG #ai #aiart #generativeai

We’d like to introduce a new concept coined by AI thought leader Rotem Alaluf: Collaborative Artificial General Intelligence, or CAGI. We believe that as a society, we should advocate for CAGI systems instead of traditional AGI systems. The race to develop a single system that approaches human-level capacity, capable of performing a broad range of tasks and continuously improving its capabilities, is ongoing. It is estimated that achieving this milestone will take over 10 years. CAGI can be defined as the collaboration of hundreds, thousands, or even hundreds of thousands of independent AI agents, each with specific expertise and different personas and perspectives. By collaborating, these agents can collectively reach AGI levels. (Each agent can use internal collaboration techniques, such as a mixture of experts or composition of experts, to create a better “memory structure.”) Key points: 1️⃣ From a usability perspective, reaching CAGI is practically the same as reaching AGI. We can always encapsulate a complex system with numerous components into a black box and call it a single system. 2️⃣ CAGI can be achieved much faster than AGI, likely within the next few years. 3️⃣ CAGI will always be computationally more favorable and environmentally more sustainable than AGI. 4️⃣ Deploying guardrails on CAGI systems is significantly easier than on AGI systems, providing more explainable monitoring capabilities for human observers. Even for CAGI, new fundamental technologies for each agent beyond LLMs need to be developed. Rotem Alaluf's post highlighted a new technology at Wand Labs, known as "Cognitive Language Models" (CLMs) to ignite each agent. These models boast advanced reasoning and planning capabilities, demonstrate sub-exponential divergence over time, feature intrinsic hallucination control, and support dynamic personality development. Such innovations are pivotal in advancing towards genuine artificial intelligence. Credit: Rotem Alaluf #AI #FutureofAI #ML