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[FCSNEW.NET] Udemy - The AI Engineer Course 2025 Complete AI Engineer Bootcamp
magnet:?xt=urn:btih:664a53bea0ec6b3c55569ce33c5f21f97972a2e0&dn=[FCSNEW.NET] Udemy - The AI Engineer Course 2025 Complete AI Engineer Bootcamp
磁力链接详情
Hash值:
664a53bea0ec6b3c55569ce33c5f21f97972a2e0
点击数:
13
文件大小:
14.05 GB
文件数量:
350
创建日期:
2025-8-11 04:32
最后访问:
2025-8-11 16:07
访问标签:
FCSNEW
NET
Udemy
-
The
AI
Engineer
Course
2025
Complete
AI
Engineer
Bootcamp
文件列表详情
01. Intro to AI Module Getting started/1. Building an AI tool in 5 minutes A quick demo.mp4 44.96 MB
01. Intro to AI Module Getting started/2. What does the course cover.mp4 20.67 MB
01. Intro to AI Module Getting started/3. Natural vs Artificial Intelligence.mp4 43.79 MB
01. Intro to AI Module Getting started/4. Brief history of AI.mp4 95.31 MB
01. Intro to AI Module Getting started/5. Demystifying AI, Data science, Machine learning, and Deep learning.mp4 47.95 MB
01. Intro to AI Module Getting started/6. Weak vs Strong AI.mp4 54.74 MB
02. Intro to AI Module Data is essential for building AI/1. Structured vs unstructured data.mp4 37.71 MB
02. Intro to AI Module Data is essential for building AI/2. How we collect data.mp4 79.78 MB
02. Intro to AI Module Data is essential for building AI/3. Labelled and unlabelled data.mp4 44.52 MB
02. Intro to AI Module Data is essential for building AI/4. Metadata Data that describes data.mp4 35.41 MB
03. Intro to AI Module Key AI techniques/1. Machine learning.mp4 119.75 MB
03. Intro to AI Module Key AI techniques/2. Supervised, Unsupervised, and Reinforcement learning.mp4 113.42 MB
03. Intro to AI Module Key AI techniques/3. Deep learning.mp4 159.86 MB
04. Intro to AI Module Important AI branches/1. Robotics.mp4 93.33 MB
04. Intro to AI Module Important AI branches/2. Computer vision.mp4 93.32 MB
04. Intro to AI Module Important AI branches/3. Traditional ML.mp4 26.8 MB
04. Intro to AI Module Important AI branches/4. Generative AI.mp4 82.38 MB
05. Intro to AI Module Understanding Generative AI/1. The rise of Gen AI Introducing ChatGPT.mp4 44.34 MB
05. Intro to AI Module Understanding Generative AI/10. Buy vs Make foundation models vs private models.mp4 53.31 MB
05. Intro to AI Module Understanding Generative AI/2. Early approaches to Natural Language Processing (NLP).mp4 52.33 MB
05. Intro to AI Module Understanding Generative AI/3. Recent NLP advancements.mp4 60.28 MB
05. Intro to AI Module Understanding Generative AI/4. From Language Models to Large Language Models (LLMs).mp4 129.18 MB
05. Intro to AI Module Understanding Generative AI/5. The efficiency of LLM training. Supervised vs Semi-supervised learning.mp4 70.82 MB
05. Intro to AI Module Understanding Generative AI/6. From N-Grams to RNNs to Transformers The Evolution of NLP.mp4 106.29 MB
05. Intro to AI Module Understanding Generative AI/7. Phases in building LLMs.mp4 94.94 MB
05. Intro to AI Module Understanding Generative AI/8. Prompt engineering vs Fine-tuning vs RAG Techniques for AI optimization.mp4 86.42 MB
05. Intro to AI Module Understanding Generative AI/9. The importance of foundation models.mp4 57.59 MB
06. Intro to AI Module Practical challenges in Generative AI/1. Inconsistency and hallucination.mp4 56.75 MB
06. Intro to AI Module Practical challenges in Generative AI/2. Budgeting and API costs.mp4 61 MB
06. Intro to AI Module Practical challenges in Generative AI/3. Latency.mp4 29.57 MB
06. Intro to AI Module Practical challenges in Generative AI/4. Running out of data.mp4 50.11 MB
07. Intro to AI Module The AI tech stack/1. Python programming.mp4 43.79 MB
07. Intro to AI Module The AI tech stack/2. Working with APIs.mp4 32.53 MB
07. Intro to AI Module The AI tech stack/3. Vector databases.mp4 61.63 MB
07. Intro to AI Module The AI tech stack/4. The importance of open source.mp4 124.73 MB
07. Intro to AI Module The AI tech stack/5. Hugging Face.mp4 36.07 MB
07. Intro to AI Module The AI tech stack/6. LangChain.mp4 58.91 MB
07. Intro to AI Module The AI tech stack/7. AI evaluation tools.mp4 63.56 MB
08. Intro to AI Module AI job positions/1. AI strategist.mp4 105.35 MB
08. Intro to AI Module AI job positions/2. AI developer.mp4 91.09 MB
08. Intro to AI Module AI job positions/3. AI engineer.mp4 78.76 MB
09. Intro to AI Module Looking ahead/1. AI ethics.mp4 116.3 MB
09. Intro to AI Module Looking ahead/2. Future of AI.mp4 95.68 MB
10. Python Module Why Python/1. Programming Explained in a Few Minutes.mp4 46.96 MB
10. Python Module Why Python/2. Why Python.mp4 45.85 MB
11. Python Module Setting Up the Environment/1. Jupyter - Introduction.mp4 32.46 MB
11. Python Module Setting Up the Environment/2. Jupyter - Installing Anaconda.mp4 26.11 MB
11. Python Module Setting Up the Environment/3. Jupyter - Introduction to Using Jupyter.mp4 12.1 MB
11. Python Module Setting Up the Environment/4. Jupyter - Working with Notebook Files.mp4 23.72 MB
11. Python Module Setting Up the Environment/5. Jupyter - Using Shortcuts.mp4 17.33 MB
11. Python Module Setting Up the Environment/6. Jupyter - Handling Error Messages.mp4 40.31 MB
11. Python Module Setting Up the Environment/7. Jupyter - Restarting the Kernel.mp4 8.36 MB
12. Python Module Python Variables and Data Types/1. Python Variables.mp4 14.07 MB
12. Python Module Python Variables and Data Types/14. Types of Data - Strings.mp4 24.11 MB
12. Python Module Python Variables and Data Types/7. Types of Data - Numbers and Boolean Values.mp4 13.7 MB
13. Python Module Basic Python Syntax/1. Basic Python Syntax - Arithmetic Operators.mp4 15.44 MB
13. Python Module Basic Python Syntax/11. Basic Python Syntax - The Double Equality Sign.mp4 4.95 MB
13. Python Module Basic Python Syntax/14. Basic Python Syntax - Reassign Values.mp4 3.34 MB
13. Python Module Basic Python Syntax/20. Basic Python Syntax - Add Comments.mp4 4.67 MB
13. Python Module Basic Python Syntax/22. Basic Python Syntax - Line Continuation.mp4 2.11 MB
13. Python Module Basic Python Syntax/24. Basic Python Syntax - Indexing Elements.mp4 4.86 MB
13. Python Module Basic Python Syntax/28. Basic Python Syntax - Indentation.mp4 5.46 MB
14. Python Module More on Operators/1. Operators - Comparison Operators.mp4 8.22 MB
14. Python Module More on Operators/7. Operators - Logical and Identity Operators.mp4 24.08 MB
15. Python Module Conditional Statements/1. Conditional Statements - The IF Statement.mp4 10.8 MB
15. Python Module Conditional Statements/10. Conditional Statements - A Note on Boolean Values.mp4 8.89 MB
15. Python Module Conditional Statements/5. Conditional Statements - The ELSE Statement.mp4 10.82 MB
15. Python Module Conditional Statements/7. Conditional Statements - The ELIF Statement.mp4 25.06 MB
16. Python Module Functions/1. Functions - Defining a Function in Python.mp4 6.28 MB
16. Python Module Functions/11. Functions - Creating Functions Containing a Few Arguments.mp4 6.02 MB
16. Python Module Functions/12. Functions - Notable Built-in Functions in Python.mp4 17.85 MB
16. Python Module Functions/2. Functions - Creating a Function with a Parameter.mp4 18.08 MB
16. Python Module Functions/5. Functions - Another Way to Define a Function.mp4 11.14 MB
16. Python Module Functions/7. Functions - Using a Function in Another Function.mp4 6.49 MB
16. Python Module Functions/9. Functions - Combining Conditional Statements and Functions.mp4 13.06 MB
17. Python Module Sequences/1. Sequences - Lists.mp4 17.63 MB
17. Python Module Sequences/14. Sequences - List Slicing.mp4 23.96 MB
17. Python Module Sequences/22. Sequences - Tuples.mp4 13.5 MB
17. Python Module Sequences/27. Sequences - Dictionaries.mp4 19.23 MB
17. Python Module Sequences/8. Sequences - Using Methods.mp4 17.3 MB
18. Python Module Iteration/1. Iteration - For Loops.mp4 11.55 MB
18. Python Module Iteration/12. Iteraion - Use Conditional Statements and Loops Together.mp4 12.61 MB
18. Python Module Iteration/16. Iteration - Conditional Statements, Functions, and Loops.mp4 8.15 MB
18. Python Module Iteration/18. Iteration - Iterating over Dictionaries.mp4 13.44 MB
18. Python Module Iteration/5. Iteration - While Loops and Incrementing.mp4 13.03 MB
18. Python Module Iteration/7. Iteration - Creatie Lists with the range() Function.mp4 14.68 MB
19. Python Module A Few Important Python Concepts and Terms/1. Introduction to Object Oriented Programming (OOP).mp4 28.17 MB
19. Python Module A Few Important Python Concepts and Terms/2. Modules, Packages, and the Python Standard Library.mp4 42.74 MB
19. Python Module A Few Important Python Concepts and Terms/3. Importing Modules.mp4 13.17 MB
19. Python Module A Few Important Python Concepts and Terms/5. What is Software Documentation.mp4 42.87 MB
19. Python Module A Few Important Python Concepts and Terms/6. The Python Documentation.mp4 50.41 MB
20. NLP Module Introduction/1. Introduction to the course.mp4 54.54 MB
20. NLP Module Introduction/3. Introduction to NLP.mp4 32.62 MB
20. NLP Module Introduction/4. NLP in everyday life.mp4 18.95 MB
20. NLP Module Introduction/5. Supervised vs unsupervised NLP.mp4 26.26 MB
21. NLP Module Text Preprocessing/1. The importance of data preparation.mp4 33.81 MB
21. NLP Module Text Preprocessing/10. Practical task.mp4 60.6 MB
21. NLP Module Text Preprocessing/2. Lowercase.mp4 9.37 MB
21. NLP Module Text Preprocessing/3. Removing stop words.mp4 19.79 MB
21. NLP Module Text Preprocessing/4. Regular expressions.mp4 40.65 MB
21. NLP Module Text Preprocessing/5. Tokenization.mp4 10.22 MB
21. NLP Module Text Preprocessing/6. Stemming.mp4 7.14 MB
21. NLP Module Text Preprocessing/7. Lemmatization.mp4 10.71 MB
21. NLP Module Text Preprocessing/8. N-grams.mp4 18.17 MB
22. NLP Module Identifying Parts of Speech and Named Entities/1. Text tagging.mp4 23 MB
22. NLP Module Identifying Parts of Speech and Named Entities/2. Parts of Speech (POS) tagging.mp4 21.24 MB
22. NLP Module Identifying Parts of Speech and Named Entities/3. Named Entity Recognition (NER).mp4 24.03 MB
22. NLP Module Identifying Parts of Speech and Named Entities/5. Practical task.mp4 56.63 MB
23. NLP Module Sentiment Analysis/1. What is sentiment analysis.mp4 37.13 MB
23. NLP Module Sentiment Analysis/2. Rule-based sentiment analysis.mp4 22.79 MB
23. NLP Module Sentiment Analysis/3. Pre-trained transformer models.mp4 25.91 MB
23. NLP Module Sentiment Analysis/5. Practical task.mp4 31.75 MB
24. NLP Module Vectorizing Text/1. Numerical representation of text.mp4 33.26 MB
24. NLP Module Vectorizing Text/2. Bag of Words model.mp4 11.52 MB
24. NLP Module Vectorizing Text/3. TF-IDF.mp4 19.02 MB
25. NLP Module Topic Modelling/1. What is topic modelling.mp4 56.91 MB
25. NLP Module Topic Modelling/2. When to use topic modelling.mp4 31.27 MB
25. NLP Module Topic Modelling/3. Latent Dirichlet Allocation (LDA).mp4 44.65 MB
25. NLP Module Topic Modelling/5. LDA in Python.mp4 30.03 MB
25. NLP Module Topic Modelling/6. Latent Semantic Analysis (LSA).mp4 32.98 MB
25. NLP Module Topic Modelling/7. LSA in Python.mp4 13.38 MB
25. NLP Module Topic Modelling/8. How many topics.mp4 29.88 MB
26. NLP Module Building Your Own Text Classifier/1. Building a custom text classifier.mp4 18.79 MB
26. NLP Module Building Your Own Text Classifier/2. Logistic regression.mp4 26.55 MB
26. NLP Module Building Your Own Text Classifier/3. Naive Bayes.mp4 8.43 MB
26. NLP Module Building Your Own Text Classifier/4. Linear support vector machine.mp4 11.41 MB
27. NLP Module Categorizing Fake News (Case Study)/2. Introducing the project.mp4 18.15 MB
27. NLP Module Categorizing Fake News (Case Study)/3. Exploring our data through POS tags.mp4 37.99 MB
27. NLP Module Categorizing Fake News (Case Study)/4. Extracting named entities.mp4 19.06 MB
27. NLP Module Categorizing Fake News (Case Study)/5. Processing the text.mp4 55.12 MB
27. NLP Module Categorizing Fake News (Case Study)/6. Does sentiment differ between news types.mp4 20.37 MB
27. NLP Module Categorizing Fake News (Case Study)/7. What topics appear in fake news (Part 1).mp4 25.03 MB
27. NLP Module Categorizing Fake News (Case Study)/8. What topics appear in fake news (Part 2).mp4 34.46 MB
27. NLP Module Categorizing Fake News (Case Study)/9. Categorizing fake news with a custom classifier.mp4 30.82 MB
28. NLP Module The Future of NLP/1. What is deep learning.mp4 52.54 MB
28. NLP Module The Future of NLP/2. Deep learning for NLP.mp4 39.16 MB
28. NLP Module The Future of NLP/3. Non-English NLP.mp4 38.47 MB
28. NLP Module The Future of NLP/4. What's next for NLP.mp4 29.73 MB
29. LLMs Module Introduction to Large Language Models/1. Introduction to the course.mp4 49.41 MB
29. LLMs Module Introduction to Large Language Models/3. What are LLMs.mp4 63.8 MB
29. LLMs Module Introduction to Large Language Models/4. How large is an LLM.mp4 60.84 MB
29. LLMs Module Introduction to Large Language Models/5. General purpose models.mp4 24.23 MB
29. LLMs Module Introduction to Large Language Models/6. Pre-training and fine tuning.mp4 51.47 MB
29. LLMs Module Introduction to Large Language Models/7. What can LLMs be used for.mp4 71.21 MB
30. LLMs Module The Transformer Architecture/1. Deep learning recap.mp4 53.07 MB
30. LLMs Module The Transformer Architecture/2. The problem with RNNs.mp4 77.18 MB
30. LLMs Module The Transformer Architecture/3. The solution attention is all you need.mp4 57.7 MB
30. LLMs Module The Transformer Architecture/4. The transformer architecture.mp4 21.81 MB
30. LLMs Module The Transformer Architecture/5. Input embeddings.mp4 61.14 MB
30. LLMs Module The Transformer Architecture/6. Multi-headed attention.mp4 86.92 MB
30. LLMs Module The Transformer Architecture/7. Feed-forward layer.mp4 55.65 MB
30. LLMs Module The Transformer Architecture/8. Masked multihead attention.mp4 29.71 MB
30. LLMs Module The Transformer Architecture/9. Predicting the final outputs.mp4 36.15 MB
31. LLMs Module Getting Started With GPT Models/1. What does GPT mean.mp4 30.91 MB
31. LLMs Module Getting Started With GPT Models/10. Adding custom data to our chatbot.mp4 24.44 MB
31. LLMs Module Getting Started With GPT Models/2. The development of ChatGPT.mp4 53.57 MB
31. LLMs Module Getting Started With GPT Models/3. OpenAI API.mp4 18.04 MB
31. LLMs Module Getting Started With GPT Models/4. Generating text.mp4 11.2 MB
31. LLMs Module Getting Started With GPT Models/5. Customizing GPT output.mp4 25.32 MB
31. LLMs Module Getting Started With GPT Models/6. Key word text summarization.mp4 45.71 MB
31. LLMs Module Getting Started With GPT Models/7. Coding a simple chatbot.mp4 44.39 MB
31. LLMs Module Getting Started With GPT Models/8. Introduction to LangChain in Python.mp4 18.11 MB
31. LLMs Module Getting Started With GPT Models/9. LangChain.mp4 59.67 MB
32. LLMs Module Hugging Face Transformers/1. Hugging Face package.mp4 57.92 MB
32. LLMs Module Hugging Face Transformers/2. The transformer pipeline.mp4 44.49 MB
32. LLMs Module Hugging Face Transformers/3. Pre-trained tokenizers.mp4 55.7 MB
32. LLMs Module Hugging Face Transformers/4. Special tokens.mp4 61.08 MB
32. LLMs Module Hugging Face Transformers/5. Hugging Face and PyTorchTensorFlow.mp4 24.88 MB
32. LLMs Module Hugging Face Transformers/6. Saving and loading models.mp4 9.97 MB
33. LLMs Module Question and Answer Models With BERT/1. GPT vs BERT.mp4 65.29 MB
33. LLMs Module Question and Answer Models With BERT/2. BERT architecture.mp4 99.25 MB
33. LLMs Module Question and Answer Models With BERT/3. Loading the model and tokenizer.mp4 7.29 MB
33. LLMs Module Question and Answer Models With BERT/4. BERT embeddings.mp4 29.67 MB
33. LLMs Module Question and Answer Models With BERT/5. Calculating the response.mp4 38.99 MB
33. LLMs Module Question and Answer Models With BERT/6. Creating a QA bot.mp4 78.38 MB
33. LLMs Module Question and Answer Models With BERT/7. BERT, RoBERTa, DistilBERT.mp4 49.57 MB
34. LLMs Module Text Classification With XLNet/1. GPT vs BERT vs XLNET.mp4 87.58 MB
34. LLMs Module Text Classification With XLNet/3. Preprocessing our data.mp4 68.32 MB
34. LLMs Module Text Classification With XLNet/4. XLNet Embeddings.mp4 28.92 MB
34. LLMs Module Text Classification With XLNet/5. Fine tuning XLNet.mp4 25.29 MB
34. LLMs Module Text Classification With XLNet/6. Evaluating our model.mp4 20.51 MB
35. LangChain Module Introduction/1. Introduction to the course.mp4 60.67 MB
35. LangChain Module Introduction/3. Business applications of LangChain.mp4 64.32 MB
35. LangChain Module Introduction/4. What makes LangChain powerful.mp4 51.33 MB
35. LangChain Module Introduction/5. What does the course cover.mp4 60.31 MB
36. LangChain Module Tokens, Models, and Prices/1. Tokens.mp4 45.62 MB
36. LangChain Module Tokens, Models, and Prices/2. Models and Prices.mp4 45.2 MB
37. LangChain Module Setting Up the Environment/1. Setting up a custom anaconda environment for Jupyter integration.mp4 15.73 MB
37. LangChain Module Setting Up the Environment/2. Obtaining an OpenAI API key.mp4 14.03 MB
37. LangChain Module Setting Up the Environment/3. Setting the API key as an environment variable.mp4 48.14 MB
38. LangChain Module The OpenAI API/1. First Steps.mp4 28.12 MB
38. LangChain Module The OpenAI API/2. System, user, and assistant roles.mp4 36.22 MB
38. LangChain Module The OpenAI API/3. Creating a sarcastic chatbot.mp4 18.29 MB
38. LangChain Module The OpenAI API/4. Temperature, max tokens, and streaming.mp4 66.88 MB
39. LangChain Module Model Inputs/1. The LangChain framework.mp4 63.14 MB
39. LangChain Module Model Inputs/2. ChatOpenAI.mp4 41.7 MB
39. LangChain Module Model Inputs/3. System and human messages.mp4 35.36 MB
39. LangChain Module Model Inputs/4. AI messages.mp4 33.55 MB
39. LangChain Module Model Inputs/5. Prompt templates and prompt values.mp4 26.81 MB
39. LangChain Module Model Inputs/6. Chat prompt templates and chat prompt values.mp4 42.13 MB
39. LangChain Module Model Inputs/7. Few-shot chat message prompt templates.mp4 48.76 MB
39. LangChain Module Model Inputs/8. LLMChain.mp4 19.63 MB
40. LangChain Module Message History and Chatbot Memory/1. Chat message history.mp4 33.07 MB
40. LangChain Module Message History and Chatbot Memory/2. Conversation buffer memory Implementing the setup.mp4 24.15 MB
40. LangChain Module Message History and Chatbot Memory/3. Conversation buffer memory Configuring the chain.mp4 46.63 MB
40. LangChain Module Message History and Chatbot Memory/4. Conversation buffer window memory.mp4 33.3 MB
40. LangChain Module Message History and Chatbot Memory/5. Conversation summary memory.mp4 61.7 MB
40. LangChain Module Message History and Chatbot Memory/6. Combined memory.mp4 36.61 MB
41. LangChain Module Output Parsers/1. String output parser.mp4 13.7 MB
41. LangChain Module Output Parsers/2. Comma-separated list output parser.mp4 18.41 MB
41. LangChain Module Output Parsers/3. Datetime output parser.mp4 20.72 MB
42. LangChain Module LangChain Expression Language (LCEL)/1. Piping a prompt, model, and an output parser.mp4 38.63 MB
42. LangChain Module LangChain Expression Language (LCEL)/10. The @chain decorator.mp4 20.43 MB
42. LangChain Module LangChain Expression Language (LCEL)/11. Adding memory to a chain (Part 1) Implementing the setup.mp4 23.48 MB
42. LangChain Module LangChain Expression Language (LCEL)/12. RunnablePassthrough with additional keys.mp4 28.96 MB
42. LangChain Module LangChain Expression Language (LCEL)/13. Itemgetter.mp4 17.98 MB
42. LangChain Module LangChain Expression Language (LCEL)/14. Adding memory to a chain (Part 2) Creating the chain.mp4 52.97 MB
42. LangChain Module LangChain Expression Language (LCEL)/2. Batching.mp4 34.01 MB
42. LangChain Module LangChain Expression Language (LCEL)/3. Streaming.mp4 27.98 MB
42. LangChain Module LangChain Expression Language (LCEL)/4. The Runnable and RunnableSequence classes.mp4 39.93 MB
42. LangChain Module LangChain Expression Language (LCEL)/5. Piping chains and the RunnablePassthrough class.mp4 42.76 MB
42. LangChain Module LangChain Expression Language (LCEL)/6. Graphing Runnables.mp4 11.68 MB
42. LangChain Module LangChain Expression Language (LCEL)/7. RunnableParallel.mp4 36.34 MB
42. LangChain Module LangChain Expression Language (LCEL)/8. Piping a RunnableParallel with other Runnables.mp4 44.7 MB
42. LangChain Module LangChain Expression Language (LCEL)/9. RunnableLambda.mp4 22.25 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/1. How to integrate custom data into an LLM.mp4 48.59 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/10. Indexing Document splitting with Markdown header text splitter.mp4 44.78 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/11. Indexing Text embedding with OpenAI.mp4 42.42 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/12. Indexing Creating a Chroma vectorstore.mp4 33.42 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/13. Indexing Inspecting and managing documents in a vectorstore.mp4 27.98 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/14. Retrieval Similarity search.mp4 46.91 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/15. Retrieval Maximal Marginal Relevance (MMR) search.mp4 70.32 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/16. Retrieval Vectorstore-backed retriever.mp4 25.65 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/17. Generation Stuffing documents.mp4 28.55 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/18. Generation Generating a response.mp4 39.07 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/2. Introduction to RAG.mp4 42.79 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/3. Introduction to document loading and splitting.mp4 45.31 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/4. Introduction to document embedding.mp4 59.71 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/5. Introduction to document storing, retrieval, and generation.mp4 43.79 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/6. Indexing Document loading with PyPDFLoader.mp4 59.74 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/7. Indexing Document loading with Docx2txtLoader.mp4 17.71 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/8. Indexing Document splitting with character text splitter (Theory).mp4 24.26 MB
43. LangChain Module Retrieval Augmented Generation (RAG)/9. Indexing Document splitting with character text splitter (Code along).mp4 33.38 MB
44. LangChain Module Tools and Agents/1. Introduction to reasoning chatbots.mp4 39.56 MB
44. LangChain Module Tools and Agents/2. Tools, toolkits, agents, and agent executors.mp4 58.84 MB
44. LangChain Module Tools and Agents/4. Creating a Wikipedia tool and piping it to a chain.mp4 34.76 MB
44. LangChain Module Tools and Agents/5. Creating a retriever and a custom tool.mp4 28.54 MB
44. LangChain Module Tools and Agents/6. LangChain hub.mp4 25.29 MB
44. LangChain Module Tools and Agents/7. Creating a tool calling agent and an agent executor.mp4 47.89 MB
44. LangChain Module Tools and Agents/8. AgentAction and AgentFinish.mp4 39.34 MB
45. Vector Databases Module Introduction/1. Introduction to the course.mp4 37.05 MB
45. Vector Databases Module Introduction/3. Database comparison SQL, NoSQL, and Vector.mp4 59.66 MB
45. Vector Databases Module Introduction/4. Understanding vector databases.mp4 50.4 MB
46. Vector Databases Module Basics of Vector Space and High-Dimensional Data/1. Introduction to vector space.mp4 52.68 MB
46. Vector Databases Module Basics of Vector Space and High-Dimensional Data/2. Distance metrics in vector space.mp4 63.98 MB
46. Vector Databases Module Basics of Vector Space and High-Dimensional Data/3. Vector embeddings walkthrough.mp4 32.07 MB
47. Vector Databases Module Introduction to The Pinecone Vector Database/1. Vector databases, comparison.mp4 75.96 MB
47. Vector Databases Module Introduction to The Pinecone Vector Database/2. Pinecone registration, walkthrough and creating an Index.mp4 24.23 MB
47. Vector Databases Module Introduction to The Pinecone Vector Database/3. Connecting to Pinecone using Python.mp4 14.18 MB
47. Vector Databases Module Introduction to The Pinecone Vector Database/5. Creating and deleting a Pinecone index using Python.mp4 19.57 MB
47. Vector Databases Module Introduction to The Pinecone Vector Database/6. Upserting data to a pinecone vector database.mp4 26.84 MB
47. Vector Databases Module Introduction to The Pinecone Vector Database/7. Getting to know the fine web data set and loading it to Jupyter.mp4 22.04 MB
47. Vector Databases Module Introduction to The Pinecone Vector Database/8. Upserting data from a text file and using an embedding algorithm.mp4 41.41 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/1. Introduction to semantic search.mp4 31.36 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/10. Data preprocessing and embedding for courses with section data.mp4 24.47 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/12. Upserting the new updated files to Pinecone.mp4 15.54 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/13. Similarity search and querying courses and sections data.mp4 45.16 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/15. Using the BERT embedding algorithm.mp4 43.87 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/16. Vector database for recommendation engines.mp4 45.05 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/17. Vector database for semantic image search.mp4 49.09 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/18. Vector database for biomedical research.mp4 33.6 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/2. Introduction to the case study – smart search for data science courses.mp4 48.2 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/3. Getting to know the data for the case study.mp4 32.2 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/4. Data loading and preprocessing.mp4 22.8 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/5. Pinecone Python APIs and connecting to the Pinecone server.mp4 27.1 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/6. Embedding Algorithms.mp4 35.73 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/7. Embedding the data and upserting the files to Pinecone.mp4 20.37 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/8. Similarity search and querying the data.mp4 33.29 MB
48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/9. How to update and change your vector database.mp4 41.39 MB
49. Speech Recognition Module Introduction/1. Welcome to the world of Speech Recognition.mp4 76.29 MB
49. Speech Recognition Module Introduction/3. Course Approach.mp4 63.21 MB
49. Speech Recognition Module Introduction/4. How it all started Formants, harmonics, and phonemes.mp4 49.16 MB
49. Speech Recognition Module Introduction/5. Development and Evolution.mp4 43.07 MB
50. Speech Recognition Module Sound and Speech Basics/1. How do humans recognize speech.mp4 41.07 MB
50. Speech Recognition Module Sound and Speech Basics/2. Fundamentals of sound and sound waves.mp4 50.8 MB
50. Speech Recognition Module Sound and Speech Basics/3. Properties of sound waves.mp4 73 MB
51. Speech Recognition Module Analog to Digital Conversion/1. Key concepts Sample Rate, bit depth, and bit rate.mp4 51.32 MB
51. Speech Recognition Module Analog to Digital Conversion/2. Audio signal processing for Machine Learning and AI.mp4 68.6 MB
52. Speech Recognition Module Audio Feature Extraction for AI Applications/1. Time-domain audio features.mp4 75.07 MB
52. Speech Recognition Module Audio Feature Extraction for AI Applications/2. Frequency-domain and time-frequency-domain audio features.mp4 78.9 MB
52. Speech Recognition Module Audio Feature Extraction for AI Applications/3. Time-domain feature extraction Framing and feature computation.mp4 53.45 MB
52. Speech Recognition Module Audio Feature Extraction for AI Applications/4. Frequency-domain feature extraction Fourier transform.mp4 61.95 MB
53. Speech Recognition Module Technology Mechanics/1. Acoustic and language modeling.mp4 45.94 MB
53. Speech Recognition Module Technology Mechanics/2. Hidden Markov Models (HMMs) and traditional neural networks.mp4 65.74 MB
53. Speech Recognition Module Technology Mechanics/3. Deep learning models CNNs, RNNs, and LSTMs.mp4 72.03 MB
53. Speech Recognition Module Technology Mechanics/4. Advanced speech recognition systems Transformers.mp4 52.45 MB
53. Speech Recognition Module Technology Mechanics/5. Building a speech recognition model part I.mp4 52.94 MB
53. Speech Recognition Module Technology Mechanics/6. Building a speech recognition model part II.mp4 57.87 MB
53. Speech Recognition Module Technology Mechanics/7. Selecting the appropriate speech recognition tool.mp4 73.18 MB
54. Speech Recognition Module Setting Up the Environment/1. Installing Anaconda.mp4 16.89 MB
54. Speech Recognition Module Setting Up the Environment/2. Setting up a new environment.mp4 24.9 MB
54. Speech Recognition Module Setting Up the Environment/3. Installing packages for speech recognition.mp4 64.99 MB
54. Speech Recognition Module Setting Up the Environment/4. Importing the relevant packages in Jupyter.mp4 14.99 MB
55. Speech Recognition Module Transcribing Audio with Google Web Speech API/1. Audio file formats for speech recognition.mp4 73.04 MB
55. Speech Recognition Module Transcribing Audio with Google Web Speech API/2. Importing audio files in Jupyter Notebook.mp4 52.03 MB
55. Speech Recognition Module Transcribing Audio with Google Web Speech API/3. The SpeechRecognition library Google Web Speech API.mp4 60.62 MB
55. Speech Recognition Module Transcribing Audio with Google Web Speech API/4. Evaluation metrics WER and CER.mp4 33.78 MB
55. Speech Recognition Module Transcribing Audio with Google Web Speech API/5. Calculating WER and CER in Python.mp4 50.77 MB
56. Speech Recognition Module Background Noise and Spectrograms/1. Understanding noise in audio files.mp4 39.34 MB
56. Speech Recognition Module Background Noise and Spectrograms/2. Creating a spectrogram with Python.mp4 57.18 MB
56. Speech Recognition Module Background Noise and Spectrograms/3. Dealing with background noise.mp4 85.88 MB
57. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/1. 9.1Whisper AI Transformer-based speech-to-text.mp4 70.87 MB
57. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/3. Transcribing multiple audio files from a directory.mp4 36.67 MB
57. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/4. Saving audio transcriptions to CSV for easy analysis.mp4 40.51 MB
57. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/5. Reversing the process AI-powered text-to-speech.mp4 26.21 MB
58. Speech Recognition Module Final Discussion and Future Directions/1. Modern practices and applications.mp4 75.88 MB
58. Speech Recognition Module Final Discussion and Future Directions/2. Challenges and limitations.mp4 39.38 MB
58. Speech Recognition Module Final Discussion and Future Directions/3. The future of speech recognition with AI.mp4 46.56 MB
59. LLM Engineering Module Introduction/1. Introduction to the Course.mp4 44.85 MB
59. LLM Engineering Module Introduction/2. What does the course cover.mp4 23.38 MB
59. LLM Engineering Module Introduction/3. The Interview Tool’s Specifics.mp4 65.6 MB
60. LLM Engineering Module Planning stage/1. Hosting an LLM vs Using an API.mp4 43.82 MB
60. LLM Engineering Module Planning stage/10. Concluding the Planning Stage.mp4 20.02 MB
60. LLM Engineering Module Planning stage/2. Open-Source vs Closed-Source Models.mp4 87.13 MB
60. LLM Engineering Module Planning stage/3. Tokens.mp4 51.98 MB
60. LLM Engineering Module Planning stage/4. Pricing Hosting an LLM vs Pay-by-Token.mp4 41.85 MB
60. LLM Engineering Module Planning stage/5. Initial Prompt Development Part 1.mp4 48.24 MB
60. LLM Engineering Module Planning stage/6. Initial Prompt Development Part 2.mp4 49.75 MB
60. LLM Engineering Module Planning stage/7. Database Design and Schema Development.mp4 35.64 MB
60. LLM Engineering Module Planning stage/8. What Is an Activity Diagram.mp4 42.23 MB
60. LLM Engineering Module Planning stage/9. Creating an Activity Diagram.mp4 50.69 MB
61. LLM Engineering Module Crafting and Testing AI Prompts/1. The OpenAI Playground.mp4 67.95 MB
61. LLM Engineering Module Crafting and Testing AI Prompts/2. Optimizing Temperature and Top P for Different Use Cases.mp4 72.37 MB
61. LLM Engineering Module Crafting and Testing AI Prompts/3. Prompt Engineering for Software Development.mp4 60.4 MB
61. LLM Engineering Module Crafting and Testing AI Prompts/4. How to Test Out a Prompt Template.mp4 22.28 MB
62. LLM Engineering Module Getting to Know Streamlit/1. Setting up environment.mp4 57.59 MB
62. LLM Engineering Module Getting to Know Streamlit/2. Streamlit's Pros and Cons.mp4 31.23 MB
62. LLM Engineering Module Getting to Know Streamlit/3. Streamlit Elements Titles, Headers, and Formatting.mp4 14.18 MB
62. LLM Engineering Module Getting to Know Streamlit/4. Streamlit Elements Text Methods.mp4 23.76 MB
62. LLM Engineering Module Getting to Know Streamlit/5. Streamlit Elements Chat Elements.mp4 21.59 MB
62. LLM Engineering Module Getting to Know Streamlit/6. Sessin State.mp4 35.43 MB
63. LLM Engineering Module Developing the prototype/1. Initializing an OpenAI Client.mp4 22.36 MB
63. LLM Engineering Module Developing the prototype/2. Implementing the Chat Functionality.mp4 32.19 MB
63. LLM Engineering Module Developing the prototype/3. Building the Setup Page.mp4 51.91 MB
63. LLM Engineering Module Developing the prototype/4. Enhancing Chatbot Interaction with Session State.mp4 48.96 MB
63. LLM Engineering Module Developing the prototype/5. Refining Our Project.mp4 23.19 MB
63. LLM Engineering Module Developing the prototype/6. Implementing Feedback Functionality Part 1.mp4 33.87 MB
63. LLM Engineering Module Developing the prototype/7. Implementing Feedback Functionality Part 2.mp4 54.07 MB
63. LLM Engineering Module Developing the prototype/8. Uploading Your Project in GitHub.mp4 39.01 MB
63. LLM Engineering Module Developing the prototype/9. Deploying Your Streamlit App.mp4 28.02 MB
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