LangChain in Action Develop LLM-Powered Applications

Files Included :

2 Why this course is different.mp4 (2.45 MB)
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3 Prerequisites.mp4 (4.06 MB)
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4 Essential topics and terms (theory).mp4 (20.29 MB)
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5 Why this course does not cover Open Source models like LLama2.mp4 (5.06 MB)
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6 Optional Install Visual Studio Code.mp4 (10.26 MB)
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7 Get the source files with Git from Github.mp4 (12.89 MB)
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8 Create OpenAI Account and create API Key.mp4 (14.17 MB)
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1 Indexing API - keep your documents in sync.mp4 (5.56 MB)
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2 PREREQUISITE Docker Installation.mp4 (9.76 MB)
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3 Setup of PgVector and RecordManager.mp4 (38.54 MB)
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4 Indexing Documents in practice.mp4 (56.38 MB)
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5 Document Retrieval with PgVector.mp4 (29.57 MB)
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1 Introduction to LangSmith (User Interface and Hub).mp4 (9.42 MB)
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2 LangSmith Projects.mp4 (96.15 MB)
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3 LangSmith Datasets and Evaluation.mp4 (56.19 MB)
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2 Introduction to Microservice Architecture.mp4 (11.04 MB)
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3 How our Chatbot works in a Microservice Architecture.mp4 (7.18 MB)
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4 Introduction to Docker.mp4 (34.17 MB)
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5 Introduction to Kubernetes.mp4 (6.29 MB)
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6 Deployment of the LLM Microservices to Kubernetes.mp4 (125.21 MB)
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2 Intro to LangChain Expression Language.mp4 (3.84 MB)
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3 LCEL Part 1 - Pipes and OpenAI Function Calling.mp4 (65.94 MB)
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4 LCEL - Part 2 - VectorStores, ItemGetter, Tools.mp4 (62.32 MB)
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5 LCEL - Part 3 - Arbitrary Functions, Runnable Interface, Fallbacks.mp4 (70.9 MB)
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1 Thank you for participating in this course.mp4 (1.02 MB)
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2 Setup of a virtual environment.mp4 (21.89 MB)
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3 Setup OpenAI Api-Key as environment variable.mp4 (12.21 MB)
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4 Exploring the vanilla OpenAI package.mp4 (27.23 MB)
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1 LLM Basics.mp4 (70.03 MB)
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2 Prompting Basics.mp4 (24.67 MB)
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3 Theory Prompt Engineering Basics.mp4 (13 MB)
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4 Few Shot Prompting.mp4 (52.96 MB)
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5 Chain of thought prompting.mp4 (17.23 MB)
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6 Pipeline-Prompts.mp4 (48.34 MB)
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7 Prompt Serialisation.mp4 (25.77 MB)
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1 Introduction to chains.mp4 (4.82 MB)
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2 Basic chains - the LLMChain.mp4 (30.5 MB)
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3 Response Schemas and OutputParsers.mp4 (62.25 MB)
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4 LLMChain with multiple inputs.mp4 (16.01 MB)
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5 SequentialChains.mp4 (37.06 MB)
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6 RouterChains.mp4 (44.9 MB)
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1 Callbacks.mp4 (47.75 MB)
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1 Memory basics - ConversationBufferMemory.mp4 (29.84 MB)
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2 ConversationSummaryMemory.mp4 (30.56 MB)
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3 EXERCISE Use Memory to build a streamlit Chatbot.mp4 (5.28 MB)
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4 SOLUTION Chatbot with Streamlit.mp4 (21.8 MB)
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1 OpenAI Function Calling - Vanilla OpenAI Package.mp4 (58.7 MB)
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2 Function Calling with LangChain.mp4 (32.77 MB)
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3 Limits and issues of the langchain Implementation.mp4 (27.32 MB)
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1 RAG - Theory and building blocks.mp4 (15.23 MB)
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2 Loaders and Splitters.mp4 (35.13 MB)
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3 Embeddings - Theory and practice.mp4 (33.21 MB)
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4 VectorStores and Retrievers.mp4 (65.8 MB)
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5 RAG Service with FastAPI.mp4 (36.17 MB)
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1 Agents Basics - LLMs learn to use tools.mp4 (49.59 MB)
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2 Agents with a custom RAG-Tool.mp4 (67.86 MB)
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3 ChatAgents.mp4 (28.39 MB)
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