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{
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        "question": "What is the current cash position (including the sum of 'Cash and cash equivalents', 'Marketable securities', and 'Short-term investments')?",
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FORM 10-Q
     FORM 10-Q
     Cover Page Information
         (Mark One) Selection Indicator
             [X] Quarterly Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934 for Period Ending September 30, 2020
         Transition Report Option Selection
             Transition Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934
         Registrant Information: ConocoPhillips Details including Commission File Number, State of Incorporation, IRS Employer Identification Number, Principal Executive Office Address, and Telephone Number
         Securities Registered under Section 12(b) of the Securities Exchange Act of 1934 :
         Filing Compliance with Sections 13 and 15(d) of the Securities Exchange Act of 1934.

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FORM 10-Q
     FORM 10-Q
     Cover Page Information
         (Mark One) Selection Option for Filing Type
         Quarterly Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934 for Period Ending June 30, 2019
         Alternative Option for Transition Report Filing
         Transition Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934 ...
         Commission File Number Identifier
         Registrant's Exact Name as Specified in Charter
         Jurisdiction and IRS Employer Identification Number

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FORM 10-K
	 FORM 10-K
	 Filing Information under the Securities Exchange Act of 1934
		 Annual and Transition Report Filing Information under the Securities Exchange Act of 1934.
	 DOCUMENTS INCORPORATED BY REFERENCE
		 Incorporation by Reference of Definitive Proxy Statement for 2020 Annual Meeting of Stockholders.
		 Exclusion of Proxy Statement from Form 10-K Filing.
	 TABLE OF CONTENTS
	 PART I Item 1 Business 1 Item 1A Risk Factors 10 Item 1B Unresolved Staff Comments 28 Item 2 Properties 28 Item 3 Legal Proceedings 28 Item 4 Mine Safety Disclosures 28
	 PART II Item 5 Market for Registrant’s Common Equity, Related Stockholder Matters and Issuer Purchases of Equity Securities 29 Item 6 Selected Consolidated Financial Data 31 Item 7 Management’s Discussion and Analysis of Financial Condition and Results of Operations 32 Item 7A Quantitative and Qualitative Disclosures About Market Risk 50 Item 8 Consolidated Financial Statements and Supplementary Data 52 Item 9 Changes in and Disagreements with Accountant

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MODEL BUSINESS ASSOCIATE AGREEMENT
	 Preface: Introduction and Identification of Parties
		 Introduction and Identification of Parties.
		 Introduction and Context of Agreement.
			 I. Definition and Compliance Obligations of Covered Entity and Business Associate under HIPAA ;
			 II. Agreement for Provision of Specified Services by Business Associate to Covered Entity ;
			 III. Access to Protected Health Information by Business Associate ;
			 IV. Definition of "Business Associate" Under HIPAA ;
			 V. Commitment to Compliance with Federal and State Confidentiality and Privacy Laws
			 VI. Commitment to Privacy and Security of Protected Health Information Under HIPAA and Applicable Laws.

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            "title": "Semantic Chunking - 3 Methods for Better RAG",
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            "outline": "Semantic Chunking - 3 Methods for Better RAG\n   Preface: Introduction to Semantic Chunkers in RAG\n     Introduction to Semantic Chunkers for Text Modality in Retrieval-Augmented Generation (RAG).\n     Introduction to Three Types of Semantic Chunkers.\n     Introduction to Semantic Chunkers Library and Usage of Chunker\u2019s Intro Notebook in Python via Colab.\n   Prerequisites\n     Prerequisites Installation: Semantic Chunkers and Hugging Face Datasets.\n     Data Testing for Chunking Methods: Impact on Latency and Quality of Results.\n   Data Setup\n     Introduction to Dataset and Structure of AI Archive Papers.\n     Limitation on Text Due to Resource-Intensive Chunker.\n     Requirement of Embedding Model for Semantic Chunking.\n     Use of OpenAI's Text-Embedding-Ada-002 Model and API Key Requiremen

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Semantic Chunking - 3 Methods for Better RAG
	 Preface: Introduction to Semantic Chunkers in RAG
		 Introduction to Semantic Chunkers for Text Modality in Retrieval-Augmented Generation (RAG).
		 Introduction to Three Types of Semantic Chunkers.
		 Introduction to Semantic Chunkers Library and Usage of Chunker’s Intro Notebook in Python via Colab.
	 Prerequisites
		 Prerequisites Installation: Semantic Chunkers and Hugging Face Datasets.
		 Data Testing for Chunking Methods: Impact on Latency and Quality of Results.
	 Data Setup
		 Introduction to Dataset and Structure of AI Archive Papers.

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Semantic Chunking - 3 Methods for Better RAG

Today, we are going to take a look at the different types of semantic chunkers that we can use to chunk our data for applications like RAG (Retrieval-Augmented Generation) in a more intelligent and effective way. For now, we're going to focus on the text modality, which is generally used for RAG, but we can apply this to video and audio as well. However, for now, let's stick with text.

I'm going to take you through three different types of semantic chunkers.

Everything we're working through today is available in the Semantic Chunkers library, and we're going to use the Chunker’s Intro Notebook. I'll go ahead and open this in Python using Colab.

Prerequisites

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Semantic Chunking - 3 Methods for Better RAG
Today, we are going to take a look at the different types of semantic chunkers
that we can use to chunk our data for applications like RAG (Retrieval-Augmented
 Generation) in a more intelligent and effective way. For now, we're going to
 focus on the text modality, which is generally used for RAG, but we can apply
  this to video and audio as well. However, for now, let's stick with text.

I'm going to take you through three different types of semantic chunkers.
Everything we're working through today is available in the Semantic Chunkers
library, and we're going to use the Chunker’s Intro Notebook. I'll go ahead and