英文论文对谈
第三观众在传统认知中，代码只有两种读者：机器（执行者）和人类（创造者）。但AI代码生成技术的出现，催生了第三种存在——它能像人类一样理解意图，又如机器般拆解逻辑，成为游离于二者之外的「第三观众」。 这档播客将带你穿透论文公式的帷幕，用声音解剖AI代码生成的前沿研究：从大语言模型的「思维链」到程序合成的遗传算法，从GitHub Copilot的神经机理到测试用例的自动推导。我们既讨论顶会论文的技术革命，也关注代码作为「新拉丁语」对人类认知的改写。 在这里，代码不仅是工具，更是观察人机文明演化的棱镜。按下播放键，你将成为这场对话的第四观众。
| Publishes | Daily | Episodes | 32 | Founded | 4 months ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Category | Technology | ||
Listen to this Podcast
Latest Episodes
在这个数字信息泛滥的时代，AI如何能够超越人类的认知局限，变得更聪明、更有效率？——本期播客将探讨WebSailor这一突破性研究，它通过后训练方法赋予开放源代码模型超人类的推理能力，能够在复杂的信息搜索任务中与行业领先的专有系统相媲美。
在推理任务中，教师模型的选择和提炼对学生模型的能力提升至关重要！——来自FAIR at Meta的最新研究揭示了一种全新的思路，利用高质量的NaturalThoughts数据，有效地提高了模型在复杂推理任务中的表现。本期播客将带你深度了解这项研究，探讨如何通过精心挑选的推理轨迹，推动AI更好地理解和解决问题。
在快速发展的人工智能领域，数学推理被视为大型语言模型（LLMs）新进展的代名词。然而，新的研究显示，尽管模型在数学任务上成绩斐然，它们在其他领域是否也同样出色呢？本期播客将深入探讨这项引人入胜的研究，揭示为什么使用强化学习调优的模型具有更好的跨领域转移能力，而传统的监督学习调优，却可能让模型在其他任务上表现不佳。
随着人工智能的兴起，编程语言的语法设计正迎来新的变革！——新加坡管理大学的研究团队提出了AI导向的编程语法，以提高代码生成的效率。本期播客将深入探讨这一创新概念如何帮助大型语言模型（LLMs）更高效地工作，同时保持代码的可读性，让人类开发者和AI协作无缝连接！
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #159 | China/Technology |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Gender Skew | Location | Interests | |||
|---|---|---|---|---|---|
| Professions | Age Range | Household Income | |||
| Social Media Reach | |||||
Frequently Asked Questions About 英文论文对谈
Where can I find podcast stats for 英文论文对谈?
Rephonic provides a wide range of podcast stats for 英文论文对谈. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to 英文论文对谈 and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does 英文论文对谈 get?
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for 英文论文对谈, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
What are the audience demographics for 英文论文对谈?
Rephonic provides comprehensive predictive audience data for 英文论文对谈, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
How many subscribers and views does 英文论文对谈 have?
To see how many followers or subscribers 英文论文对谈 has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
How many episodes of 英文论文对谈 are there?
英文论文对谈 launched 4 months ago and published 32 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact 英文论文对谈?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for 英文论文对谈?
Rephonic pulls ratings and reviews for 英文论文对谈 from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for 英文论文对谈?
Rephonic provides full transcripts for episodes of 英文论文对谈. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.