1 Introduction.mp4 (2.07 MB)
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2 What will you learn.mp4 (4.27 MB)
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3 Prerequisites and Requirements.mp4 (9.41 MB)
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4 Course Blueprint.mp4 (9.3 MB)
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5 DO NOT SKIP - How to take the most out of this course.mp4 (18.46 MB)
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7 Setting up the Coding Environment.mp4 (53.16 MB)
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1 Introduction to Huggingface.mp4 (45.27 MB)
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2 Finding the best the LLM for our use case.mp4 (29.75 MB)
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5 Getting the LLM to Work - Completing Sentences.mp4 (32.42 MB)
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7 A Prompt Engineering Trick you could use in the Exercise.mp4 (17.77 MB)
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8 Speeding up our LLM - Streaming the LLM Response.mp4 (19.44 MB)
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1 Understanding Prompts for Chat and Instruction.mp4 (47.04 MB)
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3 Implementing the LLM Chat Prompt Logic.mp4 (25.62 MB)
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1 Prompt Engineering for Achieving Conversational Memory.mp4 (48.79 MB)
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1 Introduction to Chainlit and Chainlit Setup.mp4 (38.02 MB)
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2 Message Processing in Chainlit.mp4 (29.46 MB)
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3 Customizing Chainlit.mp4 (17.23 MB)
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4 Integrating our Model to the Chat UI.mp4 (32.07 MB)
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5 Real-time response streaming to the UI.mp4 (26.46 MB)
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6 Conversational Memory in Chainlit.mp4 (46.94 MB)
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3 Congrats and Wrapping Up.mp4 (11.06 MB)
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1 LangChain Introduction.mp4 (21.94 MB)
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2 Integrating a Hugging Face Model into LangChain and Managing Response Length.mp4 (34.96 MB)
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3 The LangChain Prompt Template.mp4 (55.8 MB)
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4 Conversational Memory in LangChain.mp4 (39.12 MB)
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5 Chainlit's LangChain Integration & Token Streaming.mp4 (55.88 MB)
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