Um Detector 1

Um Detector 1

So, um... what about machine learning for audio applications? In the course of starting this podcast, we've edited out a lot of "um"'s from our raw audio files. It's gotten now to the point that, when we see the waveform in soundstudio, we can almost identify an "um" by eye. Which makes it an interesting problem for machine learning--is there a way we can train an algorithm to recognize the "um" pattern, too? This has become a little side project for Katie, which is very much still a work in progress. We'll talk about what's been accomplished so far, some design choices Katie made in getting the project off the ground, and (of course) mistakes made and hopefully corrected. We always say that the best way to learn something is by doing it, and this is our chance to try our own machine learning project instead of just telling you about what someone else did!

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Avsnitt(309)

How Do You Evaluate An AI Agent? (The Agents Season, Episode 7)

How Do You Evaluate An AI Agent? (The Agents Season, Episode 7)

Knowing when an AI agent has failed sounds straightforward — until it isn't. Agents have a frustrating habit of finishing confidently while quietly doing the wrong thing, or looping endlessly without ...

1 Juni 31min

AI Agent Failure Modes (The Agents Season, Episode 6)

AI Agent Failure Modes (The Agents Season, Episode 6)

Despite what the marketing hype might suggest, AI agents are far from infallible — and if you've ever actually used one, you already know this. Today's episode dives deep into the many, varied, and so...

25 Maj 32min

Agentic Planning (The Agents Season, Episode 5)

Agentic Planning (The Agents Season, Episode 5)

When tackling a complex, multi-step task, even the smartest AI agent can fail without a solid game plan. This episode dives into the research around agentic planning — how agents move beyond simply re...

18 Maj 24min

Memory Management for AI Agents (The Agents Season, Episode 4)

Memory Management for AI Agents (The Agents Season, Episode 4)

Context windows are powerful — but finite, and surprisingly easy to overwhelm. When an AI agent is tackling a long, complex task, the information it needs has to fit inside that limited real estate, a...

10 Maj 24min

Lost in the Middle (The Agents Season, Episode 3)

Lost in the Middle (The Agents Season, Episode 3)

Just like a memorable talk lives or dies by its opening and closing, LLMs have a surprisingly similar quirk: they pay close attention to what's at the beginning and end of their context window — and k...

4 Maj 19min

ReAct and Tool Usage (The Agents Season, Episode 2)

ReAct and Tool Usage (The Agents Season, Episode 2)

Before 2022, there was a wall between AI and the real world — models could reason impressively, but couldn't look anything up, run code, or check whether anything they said was actually true. This epi...

27 Apr 23min

What's an AI Agent? And Why's That Hard to Define? (The Agents Season, Episode 1)

What's an AI Agent? And Why's That Hard to Define? (The Agents Season, Episode 1)

AI agents are having a moment — and unpacking them properly takes more than a single conversation. This episode kicks off a dedicated multi-part season exploring AI agents from every angle, building u...

20 Apr 19min

Unfaithful Chain of Thought

Unfaithful Chain of Thought

What's actually happening when an LLM "thinks out loud"? Research on human decision-making suggests that much of the reasoning we believe drives our choices is actually post hoc rationalization — we d...

13 Apr 24min

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