

llm learning road
Hosted by zc · ZH · 10 episodes
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llm learning road
About the host
zc hosts llm learning road, a education show with 10 episodes published.
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DeepseekMath
00:00:00 Start 00:17:41 DeepSeekMathBase+7B+的数学能力评估 00:27:47 DeepSeekMath-RL+的训练与评估 00:40:24 探索抗噪声奖励信号的算法 00:46:35 DPO、PPO+和+GRPO+的目标及梯度 00:51:30 Closing
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instructGPT
00:00:00 Start 00:18:49 InstructGPT:在不同方面的表现与改进 00:28:34 Closing
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ReAct
00:00:00 Start 00:19:25 ReAct+Outperforms+Other+Methods+in+Tasks 00:28:34 ReAct+在+ICLR+2023+会议论文中发布 00:34:25 ICLR+2023+会议论文中的实验 00:43:45 ReAct+在+ALFWorld+中的刀具清洁问题 00:51:15 Closing
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deepseek-R1
DeepSeek R1 full discussion and segmented playback. OUTLINE 00:00:00 Opening 00:16:02 DeepSeek R1 - Segment 1 00:29:54 DeepSeek R1 - Segment 2 00:47:34 DeepSeek R1 - Segment 3 00:56:22 DeepSeek R1 - Segment 4 01:04:21 De
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硅谷坐标 x 微软战投合伙人:AI 时代软件的护城河
《硅谷坐标》对话微软战略投资基金 M12 合伙人 Alan Du,讨论 AI 时代软件护城河的迁移:哪些软件更易被颠覆、算力投入与商业回报的落差如何理解,以及 Agent 支付、安全与合规可能出现的结构性变化。 ### 内容要点 - AI 时代软件护城河如何重构 - 泡沫与真实需求:收入 vs 资本开支 - Agent 支付:身份、合规、微支付 - 强监管行业落地与创业建议
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硅谷坐标 x 田渊栋: 解析大模型护城河、记忆存储瓶颈与Agent对社会冲击
田渊栋(Meta AI/FAIR,强化学习与大模型推理/长上下文方向)分享对大模型竞争格局、模型“记忆”机制、长上下文与存储瓶颈、推理路线,以及 Agent 时代社会冲击的判断与观察。 ### 内容要点 - 大模型护城河:数据/算法/infra/人才 - 两种记忆:上下文(工作记忆)与权重(世界观) - 长上下文与存储供应链瓶颈 - Agent 形态与社会影响
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Frequently asked questions
How do I pitch llm learning road as a podcast guest?
llm learning road has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their education audience.
Who is the host of llm learning road?
llm learning road is hosted by zc. The show is categorised under education (self improvement) and has published 10 episodes.
How many episodes does llm learning road have?
llm learning road has published 10 episodes.
What topics does llm learning road cover?
llm learning road regularly covers education, self improvement. It sits in the education category, with a self improvement focus.
Is it hard to get booked on llm learning road?
llm learning road is accessible for guests with genuine education expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Is llm learning road currently accepting guest pitches?
llm learning road hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
How long are llm learning road episodes?
Episodes of llm learning road average 65 minutes, giving guests a long-form format with plenty of time to expand on their expertise.
What guest credentials does llm learning road typically look for?
Our data rates llm learning road's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 11 days ago.







