EnterAI
晓晓智能赋能 听大牛拆解背后的技术逻辑 助力初创公司 落地智能化应用 一档纯干货的短播客 两位主播均来自北美科技大厂 - “晓晓”, 资深 SaaS 产品经理, 深耕企业数字化赋能十余载 - “老洪”, 全栈 ML 工程师, 专注智能化研究和落地方案设计 他们演绎式的研习讨论和知识分享 - 以不一样的视角来畅想Idea, 用AI 赋能Startup - 探索智能化的前沿技术解决方案. 在这里我们鼓励知识分享, 讨论启发正在创业以及企业深耕的你, 并且持续邀请各行业专家一起来分享知识, 科普前沿科技, 以最真实的AI落地案例为您带来创业灵感, 行业最新技术解读和商业价值应用的精彩探讨~
| Publishes | Twice monthly | Episodes | 17 | Founded | a year ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Category | Technology | ||
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Latest Episodes
经济和效率是否能兼顾？本期我们请到了有多年 初创公司数据 infra 搭建经验的 Jilong 老师和大家一起探讨 “如何选择 并快速搭建一个 适合初创电商 的 数据平台”。不仅要求其能满足电商运营中业务流程和数据分析的需求，更是要符合初创公司多快好省的特点。
访谈中，老洪一如既往地深挖了 “同时兼顾OLTP&OLAP”，“cache 数据一致性”，以及 "机器学习" 相关 热点问题. 讨论有深度，有兴趣的小伙伴千万不能错过了。
03:01: 电商数据应用的快速搭建
05:30: SQL数... more
经典的用户画像是否真的能打, 还是纸上谈兵? 为何数据建模更能帮你联系到真实的用户.
这期我们来深入探讨用户画像的自动化之路, 欢迎小伙伴留言互动提问, 谢谢大家~
Timeline
00:40 什么是用户画像建模
01:25用户画像解决什么问题
02:15用户画像不实用的根本原因
• 如何联系到真实用户: 映射用户画像模型到真实用户:
• 隐私数据阻碍真实数据收集
03:05传统用户画像的唯一用处是: 产品设计时候的共情
04:50通过用户画像来共情的风险:先验经验产生... more
解析困扰大家的Meta Movie Gen10大技术难点
Meta“最强视频模型”不用DiT这个观点是有误区的? 为何工业界, 大家越来越多用流匹配而不是diffusion生成视频或图像? 这套媒体基础模型平台的发展对未来内容创作可能产生什么影响?
对Meta Movie Gen里那些高冷的技术难点细节感兴趣的朋友们, 本期我们汇总了十余个技术问题(FAQ), 来请老洪深入浅出的逐个击破, 带着你们一起揭开Movie Gen神秘的面纱.
感谢大伙儿的喜欢和关注! 对于Movie Gen还... more
AI视角和人类视角同台点评Meta电影生成模型
即便Sora已经给大家足够的预期，想必很多小伙伴都看到Meta Movie Gen的Demo了吧?这次Meta作为视频生成界杀出来的黑马, 亮剑即绝招. 全能生成王—视频音频文武全能, 效果直接炸街!
本期节目与GoogleAI(NotebookLM)的主播一起初步探索Movie Gen, 速览Meta开源的92页技术论文,简单介绍Meta四大模型. 涵盖了MovieGen使用的创新训练方法; 如何利用反向学习巧妙地进行人工合成数据训练以及个性... more
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #103 |  Taiwan/Technology |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Gender Skew | Location | Interests | |||
|---|---|---|---|---|---|
| Professions | Age Range | Household Income | |||
| Social Media Reach | |||||
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How many episodes of EnterAI are there?
EnterAI launched a year ago and published 17 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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