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Memory isn’t just a feature in AI, it’s the difference between a system that responds and one that truly understands. In the first episode of The Long Walk, Sudarshan Kamath and I dive into how memory is shaping the next generation of voice agents, and why it’s becoming critical...

30,331 Aufrufe • vor 8 Monaten •via X (Twitter)

36 Kommentare

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

Full video here:

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

is the brains behind this operation. Hats off 🫡

Profilbild von Brady Long
Brady Longvor 8 Monaten

@kamath_sutra It’s the biggest risk and opportunity in AI at the same time. Haha

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra So was the moon landing :)

Profilbild von Ethan Lam
Ethan Lamvor 8 Monaten

@kamath_sutra memory to the moon

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra :)!!

Profilbild von conor brennan-burke
conor brennan-burkevor 8 Monaten

@kamath_sutra Lfg! two legends collaborating

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@conor_ai @kamath_sutra Our mission collab is loading

Profilbild von Jiaying Yang
Jiaying Yangvor 8 Monaten

@kamath_sutra legend!

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra Back at you!

Profilbild von Alex Aridgides
Alex Aridgidesvor 8 Monaten

@kamath_sutra Since when has Short King CEO become Context King CEO?

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra 😉😉😉

Profilbild von SeekMastery
SeekMasteryvor 8 Monaten

@kamath_sutra Without memory, AI is just another parlor trick.

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra Without memory humans are also just another parlor trick

Profilbild von SeekMastery
SeekMasteryvor 8 Monaten

@kamath_sutra Facts

Profilbild von Ryan Hart
Ryan Hartvor 8 Monaten

@kamath_sutra Love the music overlay here lol

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra Hats off to @RounakLenka

Profilbild von Crypto YULIN
Crypto YULINvor 8 Monaten

@kamath_sutra Complete video on why enterprise memory is important

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra Agreed

Profilbild von Alamin
Alaminvor 8 Monaten

@kamath_sutra Love the music on the video

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra 🎸🎸

Profilbild von Barrett O'Neill
Barrett O'Neillvor 8 Monaten

@kamath_sutra Wow this is really cool

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra Agreed!

Profilbild von Orion Night
Orion Nightvor 8 Monaten

@kamath_sutra So we're finally admitting RAG is a band-aid? Big if true.

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra Always have

Profilbild von samika sanghvi
samika sanghvivor 8 Monaten

@kamath_sutra Love this

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra Nice to meet you, stranger!

Profilbild von Dan from DSfiix
Dan from DSfiixvor 8 Monaten

@kamath_sutra Memory pieces it altogether

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra Memory = intelligence

Profilbild von Leadership Daily
Leadership Dailyvor 8 Monaten

@kamath_sutra Interesting

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra +1

Profilbild von Tech with Mak
Tech with Makvor 8 Monaten

@kamath_sutra Every time I have to re-explain context to an AI, I feel this. Memory isn't a feature. It's the foundation. Loved the conversation.

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@kamath_sutra Thanks! More to come soon :)

Profilbild von Josh
Joshvor 8 Monaten

@kamath_sutra iconic sf duo

Profilbild von Nishkarsh
Nishkarshvor 8 Monaten

@0xJsum @kamath_sutra Let’s make it a trio with @Aiplus__

Profilbild von Josh
Joshvor 8 Monaten

@kamath_sutra @Aiplus__ 😳

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New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, you’ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. You’ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, you’ll: - Learn how the three types of memory--semantic, episodic, and procedural–and the two update mechanisms–via hot path and in the background–apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:

Andrew Ng

132,273 Aufrufe • vor 1 Jahr