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Deep Papers

Arize AI

Deep Papers is a podcast series featuring deep dives on today’s seminal 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. 

Demystifying Chronos: Learning the Language of Time SeriesApril 04, 2024
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Anthropic Claude 3March 25, 2024
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Reinforcement Learning in the Era of LLMsMarch 15, 2024
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Sora: OpenAI’s Text-to-Video Generation ModelMarch 01, 2024
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RAG vs Fine-TuningFebruary 08, 2024
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Phi-2 ModelFebruary 02, 2024
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HyDE: Precise Zero-Shot Dense Retrieval without Relevance LabelsFebruary 02, 2024
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A Deep Dive Into Generative's Newest Models: Gemini vs Mistral (Mixtral-8x7B)–Part IDecember 27, 2023
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How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain SettingsDecember 18, 2023
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The Geometry of Truth: Emergent Linear Structure in LLM Representation of True/False DatasetsNovember 30, 2023
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Towards Monosemanticity: Decomposing Language Models With Dictionary Learning November 20, 2023
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RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language ModelsOctober 18, 2023
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Explaining Grokking Through Circuit Efficiency October 17, 2023
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Large Content And Behavior Models To Understand, Simulate, And Optimize Content And BehaviorSeptember 29, 2023
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Skeleton of Thought: LLMs Can Do Parallel Decoding August 30, 2023
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Llama 2: Open Foundation and Fine-Tuned Chat ModelsJuly 31, 2023
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Lost in the Middle: How Language Models Use Long ContextsJuly 26, 2023
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Orca: Progressive Learning from Complex Explanation Traces of GPT-4 July 21, 2023
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Toolformer: Training LLMs To Use ToolsMarch 20, 2023
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Hungry Hungry Hippos - H3February 13, 2023
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ChatGPT and InstructGPT: Aligning Language Models to Human IntentionJanuary 18, 2023
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