![『Episode 128: [Value Boost] The Three Types of Memory Every AI Agent Needs』のカバーアート](https://m.media-amazon.com/images/I/51jun86EQBL._SL500_.jpg)
Episode 128: [Value Boost] The Three Types of Memory Every AI Agent Needs
カートのアイテムが多すぎます
ご購入は五十タイトルがカートに入っている場合のみです。
カートに追加できませんでした。
しばらく経ってから再度お試しください。
ウィッシュリストに追加できませんでした。
しばらく経ってから再度お試しください。
ほしい物リストの削除に失敗しました。
しばらく経ってから再度お試しください。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
Episode 128: [Value Boost] The Three Types of Memory Every AI Agent Needs
-
ナレーター：
-
著者：
One of the most frustrating things about working with AI is when it seems to suddenly forget everything it knew about you and your work. This is annoying when using AI chatbots. When building AI systems, it can be catastrophic.
In this Value Boost episode, Dr Imran Ahmad joins Dr Genevieve Hayes to explain what memory actually means in AI agents and what data scientists need to understand to build systems that actually remember what matters.
You'll discover:
- The three types of memory every AI agent needs [01:54]
- Why context and memory are not the same thing [05:37]
- What context rotting is and why it matters for how you design AI systems [09:15]
- How to make sure LLMs pay attention to what actually matters [10:39]
Guest Bio
Dr Imran Ahmad is a data scientist and president of data consultancy Cloudanum. He is also the author of 30 Agents Every AI Engineer Must Build and 50 Algorithms Every Programmer Should Know.
Links
- Connect with Imran on LinkedIn
- Connect with Genevieve on LinkedIn
- Be among the first to hear about the release of each new podcast episode by signing up HERE
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません