Listen "Google Results vs. ChatGPT Crap 🤖 // Retrieval x Long Context 🌐 // Jailbreaking GPT-4 ⛓️"
Episode Synopsis
The potential dangers of chatbot-generated false information, the exciting developments in Large Language Models, the discovery of truly general reinforcement learning algorithms, and the cross-lingual vulnerability of large language models. These topics highlight the importance of understanding the implications of AI and the need for robust safeguards to ensure their safety.
Contact: [email protected]
Timestamps:
00:34 Introduction
01:28 Chatbot Hallucinations Are Poisoning Web Search
03:27 The state of LLMs on 2023 by Hyung Won Chung
04:36 Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
05:48 Fake sponsor
07:39 Retrieval meets Long Context Large Language Models
09:12 Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
10:47 Low-Resource Languages Jailbreak GPT-4
12:32 Outro
Contact: [email protected]
Timestamps:
00:34 Introduction
01:28 Chatbot Hallucinations Are Poisoning Web Search
03:27 The state of LLMs on 2023 by Hyung Won Chung
04:36 Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
05:48 Fake sponsor
07:39 Retrieval meets Long Context Large Language Models
09:12 Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
10:47 Low-Resource Languages Jailbreak GPT-4
12:32 Outro
More episodes of the podcast GPT Reviews
OpenAI's 'Strawberry' AI 🚀 // World's Fastest AI Inference ⚡ // Photo-realistic 3D Avatars 🎨
28/08/2024
Grok-2's Speed & Accuracy 🚀 // OpenAI's Transparency Push 🗳️ // LlamaDuo for Local LLMs 🔄
27/08/2024
Amazon Cloud Chief Spicy Takes 🚀 // Zuckerberg's AI Vision 📈 // Multimodal Models for Safety 🔒
23/08/2024
Grok-2 Beta Release 🚀 // Apple's $1,000 Home Robot 🏡 // ChemVLM Breakthrough in Chemistry 🔬
15/08/2024
Gemini Live AI Assistant 📱 // OpenAI’s Coding Benchmark ✅ // LongWriter’s 10K Word Generation ✍️
14/08/2024
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.