LinkedIn - AI Workshop Advanced Chatbot Development

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990.41 MB | 00:13:09 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
01 - Building an AI chatbot  (3.75 MB)
02 - Getting the most out of this course  (2.81 MB)
03 - Version check  (1.78 MB)
01 - Overview of chatbot technologies and trends  (5.29 MB)
02 - Fundamentals of chatbots  (12.55 MB)
03 - Introduction to Hugging Face  (6.17 MB)
04 - Demo Exploring Hugging Face  (20.72 MB)
05 - Designing a chatbot for customer experience  (9.23 MB)
06 - Demo Implementing the chatbot in Python  (31.96 MB)
07 - Solution Build a basic chatbot  (13.15 MB)
01 - Introduction to OpenOrca dataset  (6.7 MB)
02 - Demo Building a chatbot with OpenOrca  (15.72 MB)
03 - Further enhancing chatbot features  (11.26 MB)
04 - Solution Enhance the chatbot with OpenOrca  (40.31 MB)
01 - Principles of model pruning  (9.08 MB)
02 - Demo Pruning the chatbot model  (24.61 MB)
03 - Theory and practice of model distillation  (15.66 MB)
04 - Demo Applying model distillation to the chatbot  (23.28 MB)
05 - Understanding and implementing quantization  (11.65 MB)
06 - Demo Quantizing the chatbot model  (17.52 MB)
07 - Demo Overview of the results  (33.32 MB)
08 - Solution Prepare the chatbot for deployment  (33.2 MB)
01 - Introduction to Gradio  (10.94 MB)
02 - Deploying the chatbot to Hugging Face Spaces  (8.51 MB)
03 - Demo Deploying to Hugging Face Spaces  (28.82 MB)
04 - Details to consider on deploying to Hugging Face Spaces  (11.04 MB)
01 - How to deploy to ECS  (16.17 MB)
02 - Demo Creating the Dockerfile  (11.64 MB)
03 - Demo Writing a Terraform file for AWS ECS deployment  (14.41 MB)
04 - Demo Deploying the Dockerized chatbot to AWS ECS  (14.11 MB)
01 - Metrics and benchmarks for chatbot performance  (8.85 MB)
02 - Demo benchmarking our chatbot  (20.54 MB)
03 - Analyzing and improving your chatbot  (4.51 MB)
01 - Recap of key learnings and tips  (3.25 MB)
02 - Continuing on with AI chatbots  (4.54 MB)

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