Generative AI 2024 – Beyond ChatGPT & LLMs

Generative AI 2024 – Beyond ChatGPT & LLMs

本課程《生成式AI全景解析:趨勢、基礎模型、平台與高管戰略指南》由Sreenivasula Reddy Idumakanti主講,系統梳理了生成式AI的核心概念、技術生態與商業應用場景,覆蓋從模型構建到落地實施的完整路徑,適合技術人、內容創作者、企業高管等不同背景學習者。無需編程基礎,也無需AI背景,適合希望系統理解生成式AI生態、抓住新一輪技術紅利的職場人士、創意從業者與企業決策者。立即加入,掌握2024年生成式AI的最新格局與落地能力,走在技術與商業的最前沿!

你將學習:

生成式AI技術全景:從大語言模型(LLM)到圖像生成模型的演進與趨勢
如何構建與管理基礎模型,包括數據科學與機器學習的核心方法
模型部署與服務流程,探索生成式AI如何接入應用層與邊緣設備
提示詞工程(Prompt Engineering)、Web與數字應用構建思路
高管視角下的AI戰略布局與數字轉型建議

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教程名稱:Generative AI 2024 – Beyond ChatGPT & LLMs

下載連結:https://www.nidown.com/chatgpt-313051.html

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點擊查看詳情:https://www.kkmac.com/go/chatgpt

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英文原版介紹

Published 4/2024
Created by Sreenivasula Reddy Idumakanti
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 36 Lectures ( 7h 5m ) | Size: 4.5 GB

Generative AI landscape and concepts – Trends, Foundation Models, Technology, Platforms, Web Apps and Executive Guidance

What you’ll learn:

Introduction to the landscape of technology, delivery and the road ahead for generative AI
Introduction to the landscape of building foundation models using ML & Data Science
Introduction to the landscape of managing and serving generative AI Models
Introduction to the landscape of prompt engineering, digital apps and edge devices for generative AI
Introduction to the executive landscape of generative AI

Requirements:

Prior use of digital or web platforms as advanced user like digital artist, social content creators.
No coding skills needed but those from technology background can be more comfortable.
No prior AI experience needed but use of technology in your business or other activities is preferred.

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