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Category:
Language:
English
Total Size:
918.6 MB
Info Hash:
6A10378D9619D95AD179D55427E515510BB36470
Added By:
Added:
April 25, 2024, 3:48 p.m.
Stats:
|
(Last updated: May 10, 2025, 7:21 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| 01 - Create powerful LLM driven applications.mp4 | 5.9 MB |
| 01 - Create powerful LLM driven applications.srt | 1.6 KB |
| 01 - What are language models.mp4 | 7.7 MB |
| 01 - What are language models.srt | 7.4 KB |
| 01 - How do language models generate text.mp4 | 10.5 MB |
| 01 - How do language models generate text.srt | 10.4 KB |
| 02 - Base LLMs vs. instruction-tuned LLMs.mp4 | 23.8 MB |
| 02 - Base LLMs vs. instruction-tuned LLMs.srt | 13.9 KB |
| 03 - Training, fine-tuning, and in-context learning.mp4 | 8.8 MB |
| 03 - Training, fine-tuning, and in-context learning.srt | 8.2 KB |
| 04 - Prompt engineering.mp4 | 10.0 MB |
| 04 - Prompt engineering.srt | 8.8 KB |
| 01 - What is LangChain.mp4 | 8.0 MB |
| 01 - What is LangChain.srt | 7.7 KB |
| 02 - LangChain overview.mp4 | 7.6 MB |
| 02 - LangChain overview.srt | 8.2 KB |
| 03 - Model IO Interface with language models.mp4 | 58.7 MB |
| 03 - Model IO Interface with language models.srt | 33.8 KB |
| 04 - Retrieval Interface with application-specific data.mp4 | 40.3 MB |
| 04 - Retrieval Interface with application-specific data.srt | 24.7 KB |
| 05 - Chains Construct sequences of calls.mp4 | 49.9 MB |
| 05 - Chains Construct sequences of calls.srt | 26.0 KB |
| 06 - Agents Let chains choose tools based on high-level directives.mp4 | 36.6 MB |
| 06 - Agents Let chains choose tools based on high-level directives.srt | 19.7 KB |
| 07 - Memory Persist application state between runs of a chain.mp4 | 26.7 MB |
| 07 - Memory Persist application state between runs of a chain.srt | 13.8 KB |
| 01 - Prompt basics.mp4 | 3.6 MB |
| 02 - Principles and tactics for prompting.mp4 | 21.5 MB |
| 02 - Principles and tactics for prompting.srt | 13.4 KB |
| 01 - Introduction to prompt templates.mp4 | 18.9 MB |
| 01 - Introduction to prompt templates.srt | 11.3 KB |
| 02 - Multi-input prompt templates.mp4 | 14.6 MB |
| 02 - Multi-input prompt templates.srt | 9.0 KB |
| 03 - Chat prompt template.mp4 | 15.1 MB |
| 03 - Chat prompt template.srt | 8.0 KB |
| 04 - Serializing prompts.mp4 | 7.6 MB |
| 05 - Zero-shot prompts.mp4 | 15.0 MB |
| 05 - Zero-shot prompts.srt | 8.8 KB |
| 06 - Custom prompt templates.mp4 | 21.8 MB |
| 07 - Prompt pipelining.mp4 | 17.8 MB |
| 07 - Prompt pipelining.srt | 9.4 KB |
| 08 - Chat prompt pipelining.mp4 | 9.6 MB |
| 08 - Chat prompt pipelining.srt | 5.7 KB |
| 09 - Prompt composition.mp4 | 12.8 MB |
| 09 - Prompt composition.srt | 7.1 KB |
| 10 - Few-shot prompt templates.mp4 | 23.3 MB |
| 10 - Few-shot prompt templates.srt | 13.3 KB |
| 11 - Few-shot prompt templates for chat.mp4 | 15.3 MB |
| 11 - Few-shot prompt templates for chat.srt | 8.1 KB |
| 12 - Introduction to example selectors.mp4 | 7.7 MB |
| 12 - Introduction to example selectors.srt | 4.8 KB |
| 13 - Length-based example selector.mp4 | 8.1 MB |
| 13 - Length-based example selector.srt | 5.4 KB |
| 14 - Max marginal relevance example selector.mp4 | 12.6 MB |
| 14 - Max marginal relevance example selector.srt | 6.8 KB |
| 15 - N-gram overlap example selector.mp4 | 19.1 MB |
| 15 - N-gram overlap example selector.srt | 7.9 KB |
| 16 - Semantic similarity example selector.mp4 | 8.8 MB |
| 16 - Semantic similarity example selector.srt | 4.5 KB |
| 17 - Partial prompt templates.mp4 | 11.5 MB |
| 17 - Partial prompt templates.srt | 6.8 KB |
| 01 - Chain of thought.mp4 | 26.4 MB |
| 01 - Chain of thought.srt | 14.1 KB |
| 02 - Self-consistency.mp4 | 19.8 MB |
| 02 - Self-consistency.srt | 10.0 KB |
| 03 - Self-ask.mp4 | 35.1 MB |
| 03 - Self-ask.srt | 19.4 KB |
| 04 - ReAct.mp4 | 26.0 MB |
| 04 - ReAct.srt | 12.1 KB |
| 05 - RAG.mp4 | 54.7 MB |
| 05 - RAG.srt | 29.4 KB |
| 06 - FLARE.mp4 | 32.0 MB |
| 06 - FLARE.srt | 14.1 KB |
| 07 - Plan and execute.mp4 | 38.0 MB |
| 07 - Plan and execute.srt | 20.1 KB |
| 01 - Prompt management.mp4 | 4.9 MB |
| 01 - Prompt management.srt | 4.9 KB |
| 02 - LangSmith.mp4 | 3.3 MB |
| 02 - LangSmith.srt | 3.7 KB |
| 03 - LangSmith walkthrough.mp4 | 17.4 MB |
| 03 - LangSmith walkthrough.srt | 10.1 KB |
| 04 - Prompt versioning in LangSmith.mp4 | 28.1 MB |
| 04 - Prompt versioning in LangSmith.srt | 14.0 KB |
| 05 - LangSmith deep dive.mp4 | 31.8 MB |
| 05 - LangSmith deep dive.srt | 14.4 KB |
| 06 - Managing prompt length for agents.mp4 | 22.0 MB |
| 01 - Applications of language models.mp4 | 8.4 MB |
| 01 - Applications of language models.srt | 8.4 KB |
| 02 - The LLM landscape.mp4 | 9.8 MB |
| 02 - The LLM landscape.srt | 9.4 KB |
| Bonus Resources.txt | 386 bytes |
| 02_02_Base_v_Instruction_Tuned_LLMs_Presentation.ipynb | 8.8 KB |
| 03_03_Presentation_Code_Model_I_O.ipynb | 34.1 KB |
| 03_04_Presentation_Code_Retrieval.ipynb | 22.5 KB |
| 03_05_Presentation_Code_Chains.ipynb | 39.1 KB |
| 03_06_Presentation_Code_Agents.ipynb | 10.3 KB |
| 03_07_Presentation_Code_Memory.ipynb | 31.5 KB |
| 04_02_Presentation_Principles_for_Prompting.ipynb | 22.2 KB |
| 05_01_Presentation_What-Are-Prompt-Templates.ipynb | 33.4 KB |
| 05_01_What-Are-Prompt-Templates.ipynb | 11.5 KB |
| 05_04_Presentation_Serializing-Prompts.ipynb | 8.7 KB |
| 05_05_Presentation_Zero-Shot-Prompting.ipynb | 12.1 KB |
| 05_06_Presentation_Custom-Prompt-Templates.ipynb | 15.6 KB |
| 05_07_Presentation_Prompt-Pipelining-and-Composition.ipynb | 28.4 KB |
| 05_08_Prompt-Pipelining-and-Composition.ipynb | 14.3 KB |
| 05_09_Presentation_Few-Shot-Templates-Chat.ipynb | 12.9 KB |
| 05_10_Example-Selectors.ipynb | 27.2 KB |
| 05_10_Presentation_Few-Shot_Prompt-Templates.ipynb | 28.7 KB |
| 05_11_Presentation_Partial_Prompt_Templates.ipynb | 16.3 KB |
| 05_12_Presentation_Example-Selectors.ipynb | 45.1 KB |
| 05_17_Presentation_Partial_Prompt_Templates.ipynb | 16.3 KB |
| 06_01_Presentation_Chain-of-Thought.ipynb | 29.9 KB |
| 06_02_Presentation_Self-Consistency.ipynb | 19.0 KB |
| 06_02_Self-Consistency.ipynb | 8.9 KB |
| 06_03_Presentation_Self-Ask.ipynb | 25.4 KB |
| 06_04_Presentation_ReAct-Prompting.ipynb | 11.4 KB |
| 06_05_Presentation_Retrieval-Augmented-Generation.ipynb | 24.3 KB |
| 06_06_Presentation_Forward-Looking-Active-RAG.ipynb | 214.2 KB |
| 06_07_Presentation_Plan-and-Execute.ipynb | 25.4 KB |
| 07_03_Prompt-Versioning.ipynb | 13.0 KB |
| 07_04_Presentation_Prompt-Versioning.ipynb | 10.3 KB |
| 07_05_Presentation_LangSmith_DeepDive.ipynb | 20.5 KB |
| 07_06_Presentation_Managaing_Prompt_Size_for_Agents.ipynb | 93.5 KB |
Name
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Uploader
Size
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296.1 KB
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2024-09-11
| Uploaded by FreeCourseWeb | Size 296.1 KB | Health [ 31 /29 ] | Added 2024-09-11 |
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12.1 MB
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2024-11-18
| Uploaded by freecoursewb | Size 12.1 MB | Health [ 24 /12 ] | Added 2024-11-18 |
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125.7 MB
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2024-05-23
| Uploaded by FreeCourseWeb | Size 125.7 MB | Health [ 0 /2 ] | Added 2024-05-23 |
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918.6 MB
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2024-04-25
| Uploaded by FreeCourseWeb | Size 918.6 MB | Health [ 3 /3 ] | Added 2024-04-25 |
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2.5 GB
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2024-04-08
| Uploaded by FreeCourseWeb | Size 2.5 GB | Health [ 16 /6 ] | Added 2024-04-08 |
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412.6 MB
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2024-03-21
| Uploaded by FreeCourseWeb | Size 412.6 MB | Health [ 4 /9 ] | Added 2024-03-21 |
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521.6 MB
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2024-02-01
| Uploaded by FreeCourseWeb | Size 521.6 MB | Health [ 29 /45 ] | Added 2024-02-01 |
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719.1 MB
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2023-12-14
| Uploaded by FreeCourseWeb | Size 719.1 MB | Health [ 33 /11 ] | Added 2023-12-14 |
NOTE
SOURCE: Prompt Engineering with LangChain DevCourseWeb
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