LLM
LLMLLM is all about artificial intelligence news. Each episode digs into the top stories, new research, and the breakthroughs moving the industry, keeping you informed on everything happening in AI.
| Publishes | Daily | Episodes | 882 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
In this episode, we examine how Large Language Models (LLMs) are improving methods for bug detection. We debate best practices and applications.
Chapters
00:00 Microsoft Bug Hunting AI
02:01 Google's SynthID Watermark
04:59 Encore AI's Voice Agents more
In this episode, we discuss how the NVIDIA partnership with Super Safe Intelligence represents a leap for large language models. We examine the potential advancements.
Chapters
00:00 Introduction
01:58 Super Safe Intelligence and NVIDIA
03:58 New AI... more
In this episode, we evaluate the changes brought by Anthropic's Opus 5 to large language models. We also examine how OpenAI is enhancing their voice agents.
Chapters
00:00 Introduction
00:04 Clawed Opus 5 Launch
00:13 OpenAI's ChatGPT Voice
09:16 Me... more
In this episode, we assess the significance of Anthropic's discussions on robotics acquisitions. We'll also cover Meta's advancements in AI watermarking technology.
Chapters
00:00 Introduction
00:08 Samsung's Robotics Acquisitions
00:25 Meta's AI Wa... more
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- Very informative!
This show is great ! Help me stay updated with what's happening in the AI world!
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Apple Podcasts | #112 |  Poland/Technology |
Apple Podcasts | #237 |  Chile/Technology |
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Frequently Asked Questions About LLM
What is LLM about and what kind of topics does it cover?
A business-focused technology and policy podcast delivering fast-paced analyses of AI, enterprise software, and regulatory developments. Episodes frequently explore ROI and governance of AI in large organizations, vendor strategies, licensing, and the interaction between technology and law. A standout is the tight mix of practical frameworks (KPIs, change management) with thoughtful commentary on ethics, governance, and policy, making it useful for listeners who shape or sponsor enterprise AI deployments and tech strategy. The show seems to favor actionable takeaways, real-world case studies, and industry-wide implications over purely theoretical discussions.
Where can I find podcast stats for LLM?
Rephonic provides a wide range of podcast stats for LLM. 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 LLM and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does LLM get?
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What are the audience demographics for LLM?
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How many subscribers and views does LLM have?
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Which podcasts are similar to LLM?
These podcasts share a similar audience with LLM:
1. Practical AI
2. The a16z Show
3. The AI Daily Brief: Artificial Intelligence News and Analysis
4. All-In with Chamath, Jason, Sacks & Friedberg
5. AI News & Strategy Daily with Nate B. Jones
How many episodes of LLM are there?
LLM launched 4 years ago and published 882 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 LLM?
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 LLM?
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What guests have appeared on LLM?
Recent guests on LLM include:
1. Connor Grennan
2. Dario Amadei
3. Jamie Dimon
4. Dario Amodeo
5. Wee Wee Woo
6. Ed Zitron
7. John Munsell
8. Blair LeCorte
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.