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Large Language Model (LLM) Talk

AI-Talk
Natural Language Processing
Transformers
Artificial Intelligence
Diffusion Models
Machine Learning
AI Video Generation
Openai
BERT
Generative AI
Stable Diffusion
Healthcare
Large Language Models
Machine Translation
Gpt-3
Prompt Engineering
GPT
Optimization
Algorithms
Sentiment Analysis
Gradient Descent

AI Explained breaks down the world of AI in just 10 minutes. Get quick, clear insights into AI concepts and innovations, without any complicated math or jargon. Perfect for your commute or spare time, this podcast makes understanding AI easy, engaging, and fun—whether you're a beginner or tech enthusiast.

PublishesDailyEpisodes66Founded8 months ago
Category
Technology

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Artwork for Large Language Model

Latest Episodes

Kimi K2, developed by Moonshot AI, is an open agentic intelligence model built on a Mixture-of-Experts (MoE) architecture. It features 1 trillion total parameters, with 32 billion active during inference. Trained on 15.5 trillion tokens using the sta... more

Mixture-of-Recursions (MoR) is a unified framework built on a Recursive Transformer architecture, designed to enhance the efficiency of large language models. It achieves this by combining three core paradigms: parameter sharing (reusing shared layer... more

MeanFlow models introduce the concept of average velocity to fundamentally reformulate one-step generative modeling. Unlike Flow Matching, which focuses on instantaneous velocity, MeanFlow directly models the displacement over a time interval. This a... more

Mamba is a novel deep learning architecture that achieves linear scaling in computation and memory with sequence length, addressing Transformers' quadratic limitations. Its selective State Space Model (SSM) layer dynamically adapts to input context, ... more

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Recent Guests

Guest Contributor
Episode: Mixture-of-Recursions (MoR)
Unknown Guest
Episode: Multi-Task Learning

Host

Host
Host of AI Talk

Reviews

3.5 out of 5 stars from 12 ratings
  • Too scripted!!!

    Guys - I just listened to your episode on Transformers….. it’s good but really annoying to listen to. Can one of you say more than 3 sentences without the other adding some silly interjection like “oh yeah”, “you got it”, “exactly”, “absolutely”?????

    Apple Podcasts
    3
    NotHappyTelegrapher
    United Kingdom5 months ago
  • NotebookLM again

    don’t need generated podcasts

    Apple Podcasts
    2
    Frank42
    Germany7 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Some listeners appreciate the clear and engaging insights into complex AI topics, making them feel more informed about the rapidly advancing technology.
Comments suggest that the dynamic, conversational style keeps the content interesting, although some critique the scripted nature of certain episodes.
Listeners enjoy the focus on practical applications of AI, though a few express a desire for deeper exploration of topics.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#143
France/Technology
Apple Podcasts
#157
Saudi Arabia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Mamba
Q: What might Mamba's breakthroughs reshape in AI models?
Mamba's efficiency and long context handling could lead to extensive adoption of AI in new domains, enabling more coherent and personalized interactions.
Mamba
Q: How does Mamba actually stack up against the reigning champ, the Transformer?
Mamba offers compelling advantages, especially in efficiency, and can outperform Transformers of the same size in academic benchmarks.
DeepSeek-V2
Q: How does DeepSeek-V2 handle situations where there's a surge of information?
DeepSeek-V2 uses a token-dropping strategy, prioritizing essential information to efficiently manage computational resources without losing important details.
DeepSeek-V2
Q: What does all this technical stuff actually mean for our listeners?
For everyday users, DeepSeek-V2 has the potential to greatly enhance interactions with AI, like remembering user inquiries to avoid repeating information.
Transformer
Q: How does this attention thing actually work?
It mimics how we humans process language and allows each word to understand its relationship to others in the context of a sentence.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Large Language Model

What is Large Language Model about and what kind of topics does it cover?

A unique exploration into the rapidly evolving world of artificial intelligence, focusing on language models and their impact across various applications. The discussion includes cutting-edge advancements, innovative architectures, and the ethical implications of AI in society. Key topics often covered include generative technologies, reinforcement learning, and the intricacies of model alignment and reasoning, making it both informative and accessible for listeners at different levels of AI understanding. The conversational and engaging format aims to demystify complex concepts, making them relatable and approachable for everyone from novices to seasoned tech enthusiasts.

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Which podcasts are similar to Large Language Model?

These podcasts share a similar audience with Large Language Model:

1. Latent Space: The AI Engineer Podcast
2. NVIDIA AI Podcast
3. Dwarkesh Podcast
4. Hidden Brain
5. The Daily

How many episodes of Large Language Model are there?

Large Language Model launched 8 months ago and published 66 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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Recent guests on Large Language Model include:

1. Guest Contributor
2. Unknown Guest

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