LlamaCast
Shahriar ShariatiDaily podcast about the published articles in the LLM field.
| Publishes | Daily | Episodes | 49 | Founded | a year ago |
|---|---|---|---|---|---|
| Categories | MathematicsTechnologyScience | ||||
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Latest Episodes
🤖 Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
The Alibaba MarcoPolo team presents Marco-o1, a large reasoning model designed to excel in open-ended problem-solving. Building upon OpenAI's o1 model, Marco-o1 incorporates Chain-o... more
⚖️ Scaling Laws for Precision
This research paper investigates the impact of precision in training and inference on the performance of large language models. The authors explore how precision affects the effective parameter count and propose scaling... more
⌛️ The Surprising Effectiveness of Test-Time Training for Abstract Reasoning
This paper examines how test-time training (TTT) can enhance the abstract reasoning abilities of large language models (LLMs). TTT, which updates model parameters during in... more
🔷 Qwen2.5-Coder Technical Report
The report introduces the Qwen2.5-Coder series, which includes the Qwen2.5-Coder-1.5B and Qwen2.5-Coder-7B models. These models are specifically designed for coding tasks and have been pre-trained on a massive datas... more
😈 Attacking Vision-Language Computer Agents via Pop-ups
This research paper examines vulnerabilities in vision-language models (VLMs) that power autonomous agents performing computer tasks. The authors show that these VLM agents can be easily trick... more
📓 Number Cookbook: Number Understanding of Language Models and How to Improve It
This research paper examines the numerical understanding and processing abilities (NUPA) of large language models (LLMs). The authors create a benchmark to test LLMs o... more
🧩 Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models
This research paper investigates the vulnerabilities of large language models (LLMs) to "jailbreak" attacks, where malicious users attempt to trick the model into gene... more
🤝 Multi-expert Prompting with LLMs
The research paper presents Multi-expert Prompting, a novel method for improving the reliability, safety, and usefulness of Large Language Models (LLMs). Multi-expert Prompting simulates multiple experts within an... more
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Apple Podcasts | #235 |  Italy/Technology |
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Frequently Asked Questions About LlamaCast
What is LlamaCast about and what kind of topics does it cover?
The content explores the latest advancements and research in the field of large language models (LLMs), covering a wide range of topics from the technical intricacies of model training to ethical implications and real-world applications. Each episode typically centers around recent research papers, dissecting methodologies, findings, and their potential impacts, making it an insightful resource for anyone interested in the intersection of artificial intelligence, natural language processing, and data science. The unique blend of technical analysis and accessible discussions helps demystify complex concepts, appealing to both professionals in the field and enthusiastic learners alike.
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How many episodes of LlamaCast are there?
LlamaCast launched a year ago and published 49 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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