download скачать Free download скачать : The Local LLM Crash Course - Build an AI Chatbot in 2 hours!
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:771.81 MB
Files Included :
1 Introduction.mp4 (2.07 MB)
MP4
2 What will you learn.mp4 (4.27 MB)
MP4
3 Prerequisites and Requirements.mp4 (9.41 MB)
MP4
4 Course Blueprint.mp4 (9.3 MB)
MP4
5 DO NOT SKIP - How to take the most out of this course.mp4 (18.46 MB)
MP4
7 Setting up the Coding Environment.mp4 (53.16 MB)
MP4
1 Introduction to Huggingface.mp4 (45.27 MB)
MP4
2 Finding the best the LLM for our use case.mp4 (29.75 MB)
MP4
5 Getting the LLM to Work - Completing Sentences.mp4 (32.42 MB)
MP4
7 A Prompt Engineering Trick you could use in the Exercise.mp4 (17.77 MB)
MP4
8 Speeding up our LLM - Streaming the LLM Response.mp4 (19.44 MB)
MP4
1 Understanding Prompts for Chat and Instruction.mp4 (47.04 MB)
MP4
3 Implementing the LLM Chat Prompt Logic.mp4 (25.62 MB)
MP4
1 Prompt Engineering for Achieving Conversational Memory.mp4 (48.79 MB)
MP4
1 Introduction to Chainlit and Chainlit Setup.mp4 (38.02 MB)
MP4
2 Message Processing in Chainlit.mp4 (29.46 MB)
MP4
3 Customizing Chainlit.mp4 (17.23 MB)
MP4
4 Integrating our Model to the Chat UI.mp4 (32.07 MB)
MP4
5 Real-time response streaming to the UI.mp4 (26.46 MB)
MP4
6 Conversational Memory in Chainlit.mp4 (46.94 MB)
MP4
3 Congrats and Wrapping Up.mp4 (11.06 MB)
MP4
1 LangChain Introduction.mp4 (21.94 MB)
MP4
2 Integrating a Hugging Face Model into LangChain and Managing Response Length.mp4 (34.96 MB)
MP4
3 The LangChain Prompt Template.mp4 (55.8 MB)
MP4
4 Conversational Memory in LangChain.mp4 (39.12 MB)
MP4
5 Chainlit's LangChain Integration & Token Streaming.mp4 (55.88 MB)
MP4
https://fikper.com/fCfl1XdNEf/The.Local.LLM.Crash.Course.-.Build.an.AI.Chatbot.in.2.hours.zip.html
https://rapidgator.net/file/a47c2a05d59197aa64063238871fca2c/The.Local.LLM.Crash.Course.-.Build.an.AI.Chatbot.in.2.hours.zip
Free search engine download скачать: The Local LLM Crash Course - Build an AI Chatbot in 2 hours!