[FreeCourseSite.com] Udemy - Complete Generative AI Course With Langchain and Huggingface

•  20 - Transformers/004 Self Attention Layer Working.mp4  737.98 MB
•  41 - Generative AI With AWS(Bonus)/004 End To End Blog Generation Gen AI Using AWS Lambda And Bedrock.mp4  717.86 MB
•  47 - Detailed Intuition and Implementation Of Finetuning LLM Models/001 What Is Quantization Indepth Intuition.mp4  618.06 MB
•  49 - Building Stateful, Multi-Actor Applications Using LangGraph/004 End to End Multi AI RAG Chatbots Using Langgraph And AstraDB.mp4  565.42 MB
•  41 - Generative AI With AWS(Bonus)/002 Introduction To AWS Bedrock With Implementation.mp4  521.09 MB
•  38 - Pdf Query RAG With Langchain And AstraDB/001 End To End Project With PDf Query RAG With Langchain And AstraDB.mp4  442.32 MB
•  39 - MultiLanguage Code Assistant Using CodeLama/001 End To End MultiLanguage Code Assistant Implementation.mp4  412.16 MB
•  20 - Transformers/008 Layer Normalization.mp4  409.65 MB
•  18 - Encoder And DecoderSequence To Sequence Architecture/001 Indepth Intuition OF Encoder And Decoder-Sequence to Sequence Architecture.mp4  397.04 MB
•  49 - Building Stateful, Multi-Actor Applications Using LangGraph/002 Creating Chatbots Using Langgraph.mp4  389.75 MB
•  10 - Machine Learning For NLP (Prerequisites)/023 Word2vec CBOW Detailed Explanation.mp4  378.54 MB
•  42 - Getting Started With Nvidia NIM and Langchain/001 Building RAG Document Q&A With Nvidia NIM And Langchain.mp4  376.42 MB
•  13 - ANN Project Implementation/003 Step By Step Training With ANN With Optimizer and Loss Functions.mp4  363.42 MB
•  41 - Generative AI With AWS(Bonus)/003 Document Q&A RAG With Langchain And Bedrock.mp4  362.17 MB
•  10 - Machine Learning For NLP (Prerequisites)/015 BOW Implementation Using NLTK.mp4  361.05 MB
•  19 - Attention Mechanism-Seq2Seq Networks/001 Attention Mechanism Indepth Architecture Explanation.mp4  357.03 MB
•  20 - Transformers/007 Positional Encoding Indepth Intuition.mp4  351.27 MB
•  11 - Deep Learning For NLP(Prerequisites)/001 Introduction To NLP In Deep Learning.mp4  346.22 MB
•  12 - Simple RNN Indepth Intuition/003 Problems With RNN.mp4  334.49 MB
•  10 - Machine Learning For NLP (Prerequisites)/022 Word2vec Intuition.mp4  331.63 MB
•  10 - Machine Learning For NLP (Prerequisites)/007 Text Preprocessing Stopwords.mp4  327.65 MB
•  47 - Detailed Intuition and Implementation Of Finetuning LLM Models/002 LORA And QLORA Indepth Mathematical Intuition.mp4  326.67 MB
•  47 - Detailed Intuition and Implementation Of Finetuning LLM Models/003 Practrical Implementation fine Tuning Custom Data With Google Gemma Model.mp4  319.55 MB
•  41 - Generative AI With AWS(Bonus)/005 Deployment Of Huggingface OpenSource LLM Models In AWS Sagemakers With Endpoints.mp4  318.06 MB
•  10 - Machine Learning For NLP (Prerequisites)/001 Roadmap To Learn NLP.mp4  317.22 MB
•  10 - Machine Learning For NLP (Prerequisites)/005 Text Preprocessing Stemming Uing NLTK.mp4  312.88 MB
•  02 - Python Control Flow/001 Conditional Statements (if, elif, else).mp4  311.3 MB
•  02 - Python Control Flow/002 Loops In Python.mp4  306.28 MB
•  31 - Conversational Q&A Chatbot- Chat With Pdf Along With Chat History/002 End To End Conversational Q&A Chatbot Implementation.mp4  304.52 MB
•  24 - Important Components And Modules In Langchain/007 Introduction To OpenAI Embedding.mp4  291.05 MB
•  36 - Text To Math Problem Solver Using Google Gemma 2/002 End To End Text to Math Problem Solver Using Google Gemma2 Model Implementation.mp4  275.76 MB
•  28 - Conversational Q&A Chatbot With Message History/001 Building Conversational Q&A Chatbot With Message History.mp4  274.49 MB
•  32 - Search Engine With Langchain Tools And Agents/004 End To End Search Engine GEN AI App using Tools And Agent With Open Source LLM.mp4  270.14 MB
•  24 - Important Components And Modules In Langchain/002 Data Ingestion With Documents Loaders.mp4  267.53 MB
•  20 - Transformers/010 Complete Encoder Transformer Architecture.mp4  255.02 MB
•  21 - Introduction To Generative AI And LLM Models/001 What is Generative AI- AI Vs ML Vs DL Vs Generative AI.mp4  251.68 MB
•  27 - Building Chatbots With Conversation History Using Langchain/004 Working With VectorStore And Retriever.mp4  251.37 MB
•  10 - Machine Learning For NLP (Prerequisites)/004 Tokenization Practicals.mp4  233.19 MB
•  20 - Transformers/002 What and Why To Use Transformers.mp4  230.23 MB
•  46 - Practical Implementation With Graphdb With Langchain/004 Prompting Statergies GraphDB With LLM.mp4  228.66 MB
•  27 - Building Chatbots With Conversation History Using Langchain/001 Building Chatbot With Message History Using Langchain.mp4  227.78 MB
•  17 - Bidirerctional RNN Indepth Intuition/001 Bidirectional RNN- Why To Use It.mp4  221.65 MB
•  35 - Gen AI Projects- Youtube Video And Website Url Content Summarization/002 Implementing Youtube Video And Website Url Content Summarization GEN AI App.mp4  214.53 MB
•  10 - Machine Learning For NLP (Prerequisites)/012 Advantages and Disadvantages of OHE.mp4  212.97 MB
•  20 - Transformers/012 Decoder-Masked Multi Head Attention.mp4  212.85 MB
•  49 - Building Stateful, Multi-Actor Applications Using LangGraph/003 Creating Chatbots With External Tools Workflow With Langraph.mp4  209.73 MB
•  10 - Machine Learning For NLP (Prerequisites)/010 Whats Next.mp4  208.57 MB
•  11 - Deep Learning For NLP(Prerequisites)/002 ANN VS RNN.mp4  200.26 MB
•  34 - Text Summarization With Langchain/003 Stuff And Map Reduce Summarization Impelmentation.mp4  199.75 MB
•  33 - Gen AI Project-Chat With SQL DB With Langchain SQL Toolkit and Agentype/004 Creating the Streamlit Web app and Configuring the Databases.mp4  198.35 MB