Deep Papers

By Arize AI

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Category: Mathematics

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Subscribers: 6
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Episodes: 22

Description

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. 


Episode Date
Keys To Understanding ReAct: Synergizing Reasoning and Acting in Language Models
Apr 26, 2024
Demystifying Chronos: Learning the Language of Time Series
Apr 04, 2024
Anthropic Claude 3
Mar 25, 2024
Reinforcement Learning in the Era of LLMs
Mar 15, 2024
Sora: OpenAI’s Text-to-Video Generation Model
Mar 01, 2024
RAG vs Fine-Tuning
Feb 08, 2024
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
Feb 02, 2024
Phi-2 Model
Feb 02, 2024
A Deep Dive Into Generative's Newest Models: Gemini vs Mistral (Mixtral-8x7B)–Part I
Dec 27, 2023
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings
Dec 18, 2023
The Geometry of Truth: Emergent Linear Structure in LLM Representation of True/False Datasets
Nov 30, 2023
Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
Nov 20, 2023
RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models
Oct 18, 2023
Explaining Grokking Through Circuit Efficiency
Oct 17, 2023
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
Sep 29, 2023
Skeleton of Thought: LLMs Can Do Parallel Decoding
Aug 30, 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Jul 31, 2023
Lost in the Middle: How Language Models Use Long Contexts
Jul 26, 2023
Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Jul 21, 2023
Toolformer: Training LLMs To Use Tools
Mar 20, 2023
Hungry Hungry Hippos - H3
Feb 13, 2023
ChatGPT and InstructGPT: Aligning Language Models to Human Intention
Jan 18, 2023