Deep Papers

Deep Papers

Por: Arize AI
Deep Papers is a podcast series featuring deep dives on today’s most important AI papers and research. Hosted by Arize AI founders and engineers, each episode profiles the people and techniques behind cutting-edge breakthroughs in machine learning. 
58 episodios disponibles

Latest episodes of the podcast Deep Papers

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Sora: OpenAI’s Text-to-Video Generation Model 01/03/2024
RAG vs Fine-Tuning 08/02/2024
Phi-2 Model 02/02/2024
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels 02/02/2024
A Deep Dive Into Generative's Newest Models: Gemini vs Mistral (Mixtral-8x7B)–Part I 27/12/2023
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings 18/12/2023
The Geometry of Truth: Emergent Linear Structure in LLM Representation of True/False Datasets 30/11/2023
Towards Monosemanticity: Decomposing Language Models With Dictionary Learning 20/11/2023
RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models 18/10/2023
Explaining Grokking Through Circuit Efficiency 17/10/2023
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior 29/09/2023
Skeleton of Thought: LLMs Can Do Parallel Decoding 30/08/2023
Llama 2: Open Foundation and Fine-Tuned Chat Models 31/07/2023
Lost in the Middle: How Language Models Use Long Contexts 26/07/2023
Orca: Progressive Learning from Complex Explanation Traces of GPT-4 21/07/2023
Toolformer: Training LLMs To Use Tools 20/03/2023
Hungry Hungry Hippos - H3 13/02/2023
ChatGPT and InstructGPT: Aligning Language Models to Human Intention 18/01/2023
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