LLM vs SLM | LLM vs SLM: The Future of AI Explained | Difference between LLM and SLM | Edureka скачать в хорошем качестве

LLM vs SLM | LLM vs SLM: The Future of AI Explained | Difference between LLM and SLM | Edureka

🔥Generative AI Course: Masters Program: https://www.edureka.co/masters-progra... 🔥Large Language Models (LLMs) Training Course: https://www.edureka.co/generative-ai-... In this video, we’ll explore the key differences between Large Language Models (LLMs) and Small Language Models (SLMs) to help you understand which one suits your needs. We’ll start by defining what LLMs and SLMs are, followed by why this comparison matters in AI development. Then, we’ll break down their performance, speed, cost, and efficiency, along with real-world use cases to see where each model excels. Finally, we’ll discuss the future of AI models and help you decide which one to choose for your projects. ✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV 📝Feel free to share your comments below.📝 Google Cloud link: https://console.cloud.google.com/proj... 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: http://bit.ly/3VkBRUT 🌕 AWS Online Training: http://bit.ly/3ADYwDY 🔵 React Online Training: http://bit.ly/3Vc4yDw 🌕 Tableau Online Training: http://bit.ly/3guTe6J 🔵 Power BI Online Training: http://bit.ly/3VntjMY 🌕 Selenium Online Training: http://bit.ly/3EVDtis 🔵 PMP Online Training: http://bit.ly/3XugO44 🌕 Salesforce Online Training: http://bit.ly/3OsAXDH 🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t 🌕 Java Online Training: http://bit.ly/3tRxghg 🔵 Big Data Online Training: http://bit.ly/3EvUqP5 🌕 RPA Online Training: http://bit.ly/3GFHKYB 🔵 Python Online Training: http://bit.ly/3Oubt8M 🌕 Azure Online Training: http://bit.ly/3i4P85F 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC 🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy 🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT 🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V 🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz 🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT 🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh 🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫:   / edurekain   📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧:   / edureka   📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦:   / edureka_learning   📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤:   / edurekain   📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?count... 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ - - - - - - - - - - - - - What is the duration of Gen AI Certification Training ? The Post Graduate Program in generative AI and ML course duration is 6 months. All the live classes will be conducted on weekends. - - - - - - - - - - - - - What is Generative AI? Generative AI refers to a category of artificial intelligence that can create new content, such as text, images, music, or even entire videos, by learning from existing data. Unlike traditional AI systems that focus on classification or prediction tasks, generative AI models can generate original outputs that resemble the data they were trained on. - - - - - - - - - - - - - What are the Job Oppourtunities in Gen AI? Generative AI and ML professionals can crack the following job roles with the highest paying salary: Chief AI officer (CAIO) Senior machine learning engineer AI research scientist AI solutions architect Machine learning engineer Data scientist AI product manager AI software developer AI research assistant Machine learning intern AI support specialist Associate data scientist For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & RoW: +1-8335643323 (toll-free)