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3.94 GB | 24min 38s | mp4 | 1280X720 | 16:9
Genre: eLearning | Language : English
Files Included :
1 -Welcome.mp4 (47.3 MB)
2 -Course Outline.mp4 (33.83 MB)
3 -How to make most out of this course.mp4 (9.06 MB)
1 -Part-1 Use cases with most applications.mp4 (44.71 MB)
2 -Part-2 Use cases with most applications.mp4 (52.28 MB)
3 -Summary Real World LLM Uses.mp4 (1.45 MB)
1 -Need for Data Integration in AI Apps.mp4 (13.84 MB)
10 -Retrieval.mp4 (41.92 MB)
11 -Generation.mp4 (75.13 MB)
12 -Chain Types.mp4 (109.08 MB)
13 -Summary RAG Working with Your Data.mp4 (3.84 MB)
2 -Data Handling Strategies in AI Apps.mp4 (43.6 MB)
3 -RAG Workflow Overview.mp4 (53.04 MB)
4 -Data Preparation.mp4 (69.97 MB)
5 -Vectors and Embeddings.mp4 (26.45 MB)
6 -Example Selectors.mp4 (1.71 MB)
7 -Indexing Overview.mp4 (31.11 MB)
8 -Chunking Or Splitting Documents.mp4 (65.84 MB)
9 -Vector Database Overview.mp4 (48.27 MB)
1 -LangSmith Overview & Setup.mp4 (61.06 MB)
2 -Debug RAG App 1 Olympics QA Bot.mp4 (61.84 MB)
3 -Observability.mp4 (41.05 MB)
4 -Summary LangSmith Debug LLM Apps.mp4 (1.92 MB)
1 -RAG Covered So Far.mp4 (8.57 MB)
2 -More on Vector Database.mp4 (23.19 MB)
3 -Query Translation Multi Query.mp4 (29.99 MB)
4 -Multi Query Code.mp4 (84.03 MB)
5 -Multi Query with multiple inputs.mp4 (28.09 MB)
6 -Query Translation RAG Fusion.mp4 (84.92 MB)
7 -Query Translation Decomposition.mp4 (88.29 MB)
8 -Summary Advanced RAG.mp4 (2.7 MB)
1 -Intro to Callbacks.mp4 (15.8 MB)
2 -Request Time callbacks.mp4 (71.48 MB)
3 -Constructor callbacks.mp4 (21.27 MB)
1 -Deploy on Streamlit Cloud.mp4 (23.87 MB)
2 -Deploy on Hugging Face.mp4 (36.38 MB)
1 -ChatGPT and OpenAI.mp4 (53.44 MB)
2 -Models & Machine Learning.mp4 (53.58 MB)
3 -Artificial Intelligence and Generative AI.mp4 (34 MB)
4 -Large Language Model(LLM).mp4 (31.04 MB)
5 -Prompts and Tokens.mp4 (20.25 MB)
6 -(Optional) How ChatGPT works behind the scene.mp4 (27.16 MB)
7 -(Optional) Supervised & Un-supervised Learning.mp4 (35.87 MB)
8 -Summary Understanding LLM and AI Basics.mp4 (3.02 MB)
1 -Write our first GenAI code Part-1.mp4 (141.73 MB)
2 -Write our first GenAI code Part-2.mp4 (81.15 MB)
3 -What is LangChain.mp4 (43.83 MB)
4 -Write our first LangChain code.mp4 (51.84 MB)
5 -Benefits of LangChain.mp4 (33.22 MB)
6 -Summary Getting started with LangChain.mp4 (2.26 MB)
1 -LLM Application Workflow.mp4 (9.61 MB)
2 -Models Chat Model.mp4 (47.39 MB)
3 -Chat Model vs LLM.mp4 (19.51 MB)
4 -Access Open Source Models.mp4 (37.79 MB)
5 -Assignment 1 Solution Financial Concept Explainer App.mp4 (62.26 MB)
6 -Token Usage.mp4 (95.89 MB)
7 -Summary Models.mp4 (2.32 MB)
1 -Prompts.mp4 (45.86 MB)
2 -Prompt Template.mp4 (95.03 MB)
3 -Few Shot Template.mp4 (52.27 MB)
4 -App Travel App.mp4 (69.44 MB)
5 -Context Window & Token Limit.mp4 (40.65 MB)
6 -Example Selectors.mp4 (76.32 MB)
7 -Output parsers.mp4 (109.42 MB)
8 -Summary Prompts & Output Parsers.mp4 (1.76 MB)
1 -What is Streamlit.mp4 (39.74 MB)
2 -LangChain with Streamlit.mp4 (53.05 MB)
3 -App Financial QA System with Streamlit.mp4 (71.68 MB)
4 -App Refactored Financial QA System with Streamlit.mp4 (72.85 MB)
5 -App Social Media Script Writing App.mp4 (96.48 MB)
6 -Summary Streamlit for AI Apps.mp4 (2.74 MB)
1 -Introduction to Chains.mp4 (51.29 MB)
2 -Runnable.mp4 (48.51 MB)
3 -RunnableSequence.mp4 (56.49 MB)
4 -Sequential Chains.mp4 (50.06 MB)
5 -RunnablePassthrough.mp4 (70.89 MB)
6 -Summary Chains.mp4 (2.04 MB)
1 -Why we need Memory in AI Apps.mp4 (21.57 MB)
2 -Add Memory in AI Apps.mp4 (136.48 MB)
3 -Memory With Sessions.mp4 (109.17 MB)
4 -Memory with user sessions.mp4 (36.18 MB)
5 -Summary Memory.mp4 (2.16 MB)
1 -Intro to Prompt Engineering.mp4 (41.39 MB)
2 -BenchMark of Good Prompt.mp4 (21.58 MB)
3 -Prompt Engineering Techniques Part-1.mp4 (107.31 MB)
4 -Prompt Engineering Techniques Part-2.mp4 (97.69 MB)
5 -Summary Prompt Engineering.mp4 (2.91 MB)]
Screenshot
https://images2.imgbox.com/7e/fa/zpK6Ailm_o.jpg
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