[FCSNEW.NET] Udemy - The AI Engineer Course 2025 Complete AI Engineer Bootcamp
File List
- 03. Intro to AI Module Key AI techniques/3. Deep learning.mp4 159.9 MB
- 05. Intro to AI Module Understanding Generative AI/4. From Language Models to Large Language Models (LLMs).mp4 129.2 MB
- 07. Intro to AI Module The AI tech stack/4. The importance of open source.mp4 124.7 MB
- 03. Intro to AI Module Key AI techniques/1. Machine learning.mp4 119.7 MB
- 09. Intro to AI Module Looking ahead/1. AI ethics.mp4 116.3 MB
- 03. Intro to AI Module Key AI techniques/2. Supervised, Unsupervised, and Reinforcement learning.mp4 113.4 MB
- 05. Intro to AI Module Understanding Generative AI/6. From N-Grams to RNNs to Transformers The Evolution of NLP.mp4 106.3 MB
- 08. Intro to AI Module AI job positions/1. AI strategist.mp4 105.4 MB
- 33. LLMs Module Question and Answer Models With BERT/2. BERT architecture.mp4 99.3 MB
- 09. Intro to AI Module Looking ahead/2. Future of AI.mp4 95.7 MB
- 01. Intro to AI Module Getting started/4. Brief history of AI.mp4 95.3 MB
- 05. Intro to AI Module Understanding Generative AI/7. Phases in building LLMs.mp4 94.9 MB
- 04. Intro to AI Module Important AI branches/1. Robotics.mp4 93.3 MB
- 04. Intro to AI Module Important AI branches/2. Computer vision.mp4 93.3 MB
- 08. Intro to AI Module AI job positions/2. AI developer.mp4 91.1 MB
- 34. LLMs Module Text Classification With XLNet/1. GPT vs BERT vs XLNET.mp4 87.6 MB
- 60. LLM Engineering Module Planning stage/2. Open-Source vs Closed-Source Models.mp4 87.1 MB
- 30. LLMs Module The Transformer Architecture/6. Multi-headed attention.mp4 86.9 MB
- 05. Intro to AI Module Understanding Generative AI/8. Prompt engineering vs Fine-tuning vs RAG Techniques for AI optimization.mp4 86.4 MB
- 56. Speech Recognition Module Background Noise and Spectrograms/3. Dealing with background noise.mp4 85.9 MB
- 04. Intro to AI Module Important AI branches/4. Generative AI.mp4 82.4 MB
- 02. Intro to AI Module Data is essential for building AI/2. How we collect data.mp4 79.8 MB
- 52. Speech Recognition Module Audio Feature Extraction for AI Applications/2. Frequency-domain and time-frequency-domain audio features.mp4 78.9 MB
- 08. Intro to AI Module AI job positions/3. AI engineer.mp4 78.8 MB
- 33. LLMs Module Question and Answer Models With BERT/6. Creating a QA bot.mp4 78.4 MB
- 30. LLMs Module The Transformer Architecture/2. The problem with RNNs.mp4 77.2 MB
- 49. Speech Recognition Module Introduction/1. Welcome to the world of Speech Recognition.mp4 76.3 MB
- 47. Vector Databases Module Introduction to The Pinecone Vector Database/1. Vector databases, comparison.mp4 76.0 MB
- 58. Speech Recognition Module Final Discussion and Future Directions/1. Modern practices and applications.mp4 75.9 MB
- 52. Speech Recognition Module Audio Feature Extraction for AI Applications/1. Time-domain audio features.mp4 75.1 MB
- 53. Speech Recognition Module Technology Mechanics/7. Selecting the appropriate speech recognition tool.mp4 73.2 MB
- 55. Speech Recognition Module Transcribing Audio with Google Web Speech API/1. Audio file formats for speech recognition.mp4 73.0 MB
- 50. Speech Recognition Module Sound and Speech Basics/3. Properties of sound waves.mp4 73.0 MB
- 61. LLM Engineering Module Crafting and Testing AI Prompts/2. Optimizing Temperature and Top P for Different Use Cases.mp4 72.4 MB
- 53. Speech Recognition Module Technology Mechanics/3. Deep learning models CNNs, RNNs, and LSTMs.mp4 72.0 MB
- 29. LLMs Module Introduction to Large Language Models/7. What can LLMs be used for.mp4 71.2 MB
- 57. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/1. 9.1Whisper AI Transformer-based speech-to-text.mp4 70.9 MB
- 05. Intro to AI Module Understanding Generative AI/5. The efficiency of LLM training. Supervised vs Semi-supervised learning.mp4 70.8 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/15. Retrieval Maximal Marginal Relevance (MMR) search.mp4 70.3 MB
- 51. Speech Recognition Module Analog to Digital Conversion/2. Audio signal processing for Machine Learning and AI.mp4 68.6 MB
- 34. LLMs Module Text Classification With XLNet/3. Preprocessing our data.mp4 68.3 MB
- 61. LLM Engineering Module Crafting and Testing AI Prompts/1. The OpenAI Playground.mp4 68.0 MB
- 38. LangChain Module The OpenAI API/4. Temperature, max tokens, and streaming.mp4 66.9 MB
- 53. Speech Recognition Module Technology Mechanics/2. Hidden Markov Models (HMMs) and traditional neural networks.mp4 65.7 MB
- 59. LLM Engineering Module Introduction/3. The Interview Tool’s Specifics.mp4 65.6 MB
- 33. LLMs Module Question and Answer Models With BERT/1. GPT vs BERT.mp4 65.3 MB
- 54. Speech Recognition Module Setting Up the Environment/3. Installing packages for speech recognition.mp4 65.0 MB
- 35. LangChain Module Introduction/3. Business applications of LangChain.mp4 64.3 MB
- 46. Vector Databases Module Basics of Vector Space and High-Dimensional Data/2. Distance metrics in vector space.mp4 64.0 MB
- 29. LLMs Module Introduction to Large Language Models/3. What are LLMs.mp4 63.8 MB
- 07. Intro to AI Module The AI tech stack/7. AI evaluation tools.mp4 63.6 MB
- 49. Speech Recognition Module Introduction/3. Course Approach.mp4 63.2 MB
- 39. LangChain Module Model Inputs/1. The LangChain framework.mp4 63.1 MB
- 52. Speech Recognition Module Audio Feature Extraction for AI Applications/4. Frequency-domain feature extraction Fourier transform.mp4 61.9 MB
- 40. LangChain Module Message History and Chatbot Memory/5. Conversation summary memory.mp4 61.7 MB
- 07. Intro to AI Module The AI tech stack/3. Vector databases.mp4 61.6 MB
- 30. LLMs Module The Transformer Architecture/5. Input embeddings.mp4 61.1 MB
- 32. LLMs Module Hugging Face Transformers/4. Special tokens.mp4 61.1 MB
- 06. Intro to AI Module Practical challenges in Generative AI/2. Budgeting and API costs.mp4 61.0 MB
- 29. LLMs Module Introduction to Large Language Models/4. How large is an LLM.mp4 60.8 MB
- 35. LangChain Module Introduction/1. Introduction to the course.mp4 60.7 MB
- 55. Speech Recognition Module Transcribing Audio with Google Web Speech API/3. The SpeechRecognition library Google Web Speech API.mp4 60.6 MB
- 21. NLP Module Text Preprocessing/10. Practical task.mp4 60.6 MB
- 61. LLM Engineering Module Crafting and Testing AI Prompts/3. Prompt Engineering for Software Development.mp4 60.4 MB
- 35. LangChain Module Introduction/5. What does the course cover.mp4 60.3 MB
- 05. Intro to AI Module Understanding Generative AI/3. Recent NLP advancements.mp4 60.3 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/6. Indexing Document loading with PyPDFLoader.mp4 59.7 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/4. Introduction to document embedding.mp4 59.7 MB
- 31. LLMs Module Getting Started With GPT Models/9. LangChain.mp4 59.7 MB
- 45. Vector Databases Module Introduction/3. Database comparison SQL, NoSQL, and Vector.mp4 59.7 MB
- 07. Intro to AI Module The AI tech stack/6. LangChain.mp4 58.9 MB
- 44. LangChain Module Tools and Agents/2. Tools, toolkits, agents, and agent executors.mp4 58.8 MB
- 32. LLMs Module Hugging Face Transformers/1. Hugging Face package.mp4 57.9 MB
- 53. Speech Recognition Module Technology Mechanics/6. Building a speech recognition model part II.mp4 57.9 MB
- 30. LLMs Module The Transformer Architecture/3. The solution attention is all you need.mp4 57.7 MB
- 62. LLM Engineering Module Getting to Know Streamlit/1. Setting up environment.mp4 57.6 MB
- 05. Intro to AI Module Understanding Generative AI/9. The importance of foundation models.mp4 57.6 MB
- 56. Speech Recognition Module Background Noise and Spectrograms/2. Creating a spectrogram with Python.mp4 57.2 MB
- 25. NLP Module Topic Modelling/1. What is topic modelling.mp4 56.9 MB
- 06. Intro to AI Module Practical challenges in Generative AI/1. Inconsistency and hallucination.mp4 56.7 MB
- 22. NLP Module Identifying Parts of Speech and Named Entities/5. Practical task.mp4 56.6 MB
- 32. LLMs Module Hugging Face Transformers/3. Pre-trained tokenizers.mp4 55.7 MB
- 30. LLMs Module The Transformer Architecture/7. Feed-forward layer.mp4 55.6 MB
- 27. NLP Module Categorizing Fake News (Case Study)/5. Processing the text.mp4 55.1 MB
- 01. Intro to AI Module Getting started/6. Weak vs Strong AI.mp4 54.7 MB
- 20. NLP Module Introduction/1. Introduction to the course.mp4 54.5 MB
- 63. LLM Engineering Module Developing the prototype/7. Implementing Feedback Functionality Part 2.mp4 54.1 MB
- 31. LLMs Module Getting Started With GPT Models/2. The development of ChatGPT.mp4 53.6 MB
- 52. Speech Recognition Module Audio Feature Extraction for AI Applications/3. Time-domain feature extraction Framing and feature computation.mp4 53.4 MB
- 05. Intro to AI Module Understanding Generative AI/10. Buy vs Make foundation models vs private models.mp4 53.3 MB
- 30. LLMs Module The Transformer Architecture/1. Deep learning recap.mp4 53.1 MB
- 42. LangChain Module LangChain Expression Language (LCEL)/14. Adding memory to a chain (Part 2) Creating the chain.mp4 53.0 MB
- 53. Speech Recognition Module Technology Mechanics/5. Building a speech recognition model part I.mp4 52.9 MB
- 46. Vector Databases Module Basics of Vector Space and High-Dimensional Data/1. Introduction to vector space.mp4 52.7 MB
- 28. NLP Module The Future of NLP/1. What is deep learning.mp4 52.5 MB
- 53. Speech Recognition Module Technology Mechanics/4. Advanced speech recognition systems Transformers.mp4 52.5 MB
- 05. Intro to AI Module Understanding Generative AI/2. Early approaches to Natural Language Processing (NLP).mp4 52.3 MB
- 55. Speech Recognition Module Transcribing Audio with Google Web Speech API/2. Importing audio files in Jupyter Notebook.mp4 52.0 MB
- 60. LLM Engineering Module Planning stage/3. Tokens.mp4 52.0 MB
- 63. LLM Engineering Module Developing the prototype/3. Building the Setup Page.mp4 51.9 MB
- 29. LLMs Module Introduction to Large Language Models/6. Pre-training and fine tuning.mp4 51.5 MB
- 35. LangChain Module Introduction/4. What makes LangChain powerful.mp4 51.3 MB
- 51. Speech Recognition Module Analog to Digital Conversion/1. Key concepts Sample Rate, bit depth, and bit rate.mp4 51.3 MB
- 50. Speech Recognition Module Sound and Speech Basics/2. Fundamentals of sound and sound waves.mp4 50.8 MB
- 55. Speech Recognition Module Transcribing Audio with Google Web Speech API/5. Calculating WER and CER in Python.mp4 50.8 MB
- 60. LLM Engineering Module Planning stage/9. Creating an Activity Diagram.mp4 50.7 MB
- 19. Python Module A Few Important Python Concepts and Terms/6. The Python Documentation.mp4 50.4 MB
- 45. Vector Databases Module Introduction/4. Understanding vector databases.mp4 50.4 MB
- 06. Intro to AI Module Practical challenges in Generative AI/4. Running out of data.mp4 50.1 MB
- 60. LLM Engineering Module Planning stage/6. Initial Prompt Development Part 2.mp4 49.8 MB
- 33. LLMs Module Question and Answer Models With BERT/7. BERT, RoBERTa, DistilBERT.mp4 49.6 MB
- 29. LLMs Module Introduction to Large Language Models/1. Introduction to the course.mp4 49.4 MB
- 49. Speech Recognition Module Introduction/4. How it all started Formants, harmonics, and phonemes.mp4 49.2 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/17. Vector database for semantic image search.mp4 49.1 MB
- 63. LLM Engineering Module Developing the prototype/4. Enhancing Chatbot Interaction with Session State.mp4 49.0 MB
- 39. LangChain Module Model Inputs/7. Few-shot chat message prompt templates.mp4 48.8 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/1. How to integrate custom data into an LLM.mp4 48.6 MB
- 60. LLM Engineering Module Planning stage/5. Initial Prompt Development Part 1.mp4 48.2 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
- 37. LangChain Module Setting Up the Environment/3. Setting the API key as an environment variable.mp4 48.1 MB
- 01. Intro to AI Module Getting started/5. Demystifying AI, Data science, Machine learning, and Deep learning.mp4 47.9 MB
- 44. LangChain Module Tools and Agents/7. Creating a tool calling agent and an agent executor.mp4 47.9 MB
- 10. Python Module Why Python/1. Programming Explained in a Few Minutes.mp4 47.0 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/14. Retrieval Similarity search.mp4 46.9 MB
- 40. LangChain Module Message History and Chatbot Memory/3. Conversation buffer memory Configuring the chain.mp4 46.6 MB
- 58. Speech Recognition Module Final Discussion and Future Directions/3. The future of speech recognition with AI.mp4 46.6 MB
- 53. Speech Recognition Module Technology Mechanics/1. Acoustic and language modeling.mp4 45.9 MB
- 10. Python Module Why Python/2. Why Python.mp4 45.9 MB
- 31. LLMs Module Getting Started With GPT Models/6. Key word text summarization.mp4 45.7 MB
- 36. LangChain Module Tokens, Models, and Prices/1. Tokens.mp4 45.6 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/3. Introduction to document loading and splitting.mp4 45.3 MB
- 36. LangChain Module Tokens, Models, and Prices/2. Models and Prices.mp4 45.2 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/13. Similarity search and querying courses and sections data.mp4 45.2 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/16. Vector database for recommendation engines.mp4 45.1 MB
- 01. Intro to AI Module Getting started/1. Building an AI tool in 5 minutes A quick demo.mp4 45.0 MB
- 59. LLM Engineering Module Introduction/1. Introduction to the Course.mp4 44.9 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/10. Indexing Document splitting with Markdown header text splitter.mp4 44.8 MB
- 42. LangChain Module LangChain Expression Language (LCEL)/8. Piping a RunnableParallel with other Runnables.mp4 44.7 MB
- 25. NLP Module Topic Modelling/3. Latent Dirichlet Allocation (LDA).mp4 44.7 MB
- 02. Intro to AI Module Data is essential for building AI/3. Labelled and unlabelled data.mp4 44.5 MB
- 32. LLMs Module Hugging Face Transformers/2. The transformer pipeline.mp4 44.5 MB
- 31. LLMs Module Getting Started With GPT Models/7. Coding a simple chatbot.mp4 44.4 MB
- 05. Intro to AI Module Understanding Generative AI/1. The rise of Gen AI Introducing ChatGPT.mp4 44.3 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/15. Using the BERT embedding algorithm.mp4 43.9 MB
- 60. LLM Engineering Module Planning stage/1. Hosting an LLM vs Using an API.mp4 43.8 MB
- 07. Intro to AI Module The AI tech stack/1. Python programming.mp4 43.8 MB
- 01. Intro to AI Module Getting started/3. Natural vs Artificial Intelligence.mp4 43.8 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/5. Introduction to document storing, retrieval, and generation.mp4 43.8 MB
- 49. Speech Recognition Module Introduction/5. Development and Evolution.mp4 43.1 MB
- 19. Python Module A Few Important Python Concepts and Terms/5. What is Software Documentation.mp4 42.9 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/2. Introduction to RAG.mp4 42.8 MB
- 42. LangChain Module LangChain Expression Language (LCEL)/5. Piping chains and the RunnablePassthrough class.mp4 42.8 MB
- 19. Python Module A Few Important Python Concepts and Terms/2. Modules, Packages, and the Python Standard Library.mp4 42.7 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/11. Indexing Text embedding with OpenAI.mp4 42.4 MB
- 60. LLM Engineering Module Planning stage/8. What Is an Activity Diagram.mp4 42.2 MB
- 39. LangChain Module Model Inputs/6. Chat prompt templates and chat prompt values.mp4 42.1 MB
- 60. LLM Engineering Module Planning stage/4. Pricing Hosting an LLM vs Pay-by-Token.mp4 41.9 MB
- 39. LangChain Module Model Inputs/2. ChatOpenAI.mp4 41.7 MB
- 47. Vector Databases Module Introduction to The Pinecone Vector Database/8. Upserting data from a text file and using an embedding algorithm.mp4 41.4 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/9. How to update and change your vector database.mp4 41.4 MB
- 50. Speech Recognition Module Sound and Speech Basics/1. How do humans recognize speech.mp4 41.1 MB
- 21. NLP Module Text Preprocessing/4. Regular expressions.mp4 40.6 MB
- 57. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/4. Saving audio transcriptions to CSV for easy analysis.mp4 40.5 MB
- 11. Python Module Setting Up the Environment/6. Jupyter - Handling Error Messages.mp4 40.3 MB
- 42. LangChain Module LangChain Expression Language (LCEL)/4. The Runnable and RunnableSequence classes.mp4 39.9 MB
- 44. LangChain Module Tools and Agents/1. Introduction to reasoning chatbots.mp4 39.6 MB
- 58. Speech Recognition Module Final Discussion and Future Directions/2. Challenges and limitations.mp4 39.4 MB
- 56. Speech Recognition Module Background Noise and Spectrograms/1. Understanding noise in audio files.mp4 39.3 MB
- 44. LangChain Module Tools and Agents/8. AgentAction and AgentFinish.mp4 39.3 MB
- 28. NLP Module The Future of NLP/2. Deep learning for NLP.mp4 39.2 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/18. Generation Generating a response.mp4 39.1 MB
- 63. LLM Engineering Module Developing the prototype/8. Uploading Your Project in GitHub.mp4 39.0 MB
- 33. LLMs Module Question and Answer Models With BERT/5. Calculating the response.mp4 39.0 MB
- 42. LangChain Module LangChain Expression Language (LCEL)/1. Piping a prompt, model, and an output parser.mp4 38.6 MB
- 28. NLP Module The Future of NLP/3. Non-English NLP.mp4 38.5 MB
- 27. NLP Module Categorizing Fake News (Case Study)/3. Exploring our data through POS tags.mp4 38.0 MB
- 02. Intro to AI Module Data is essential for building AI/1. Structured vs unstructured data.mp4 37.7 MB
- 23. NLP Module Sentiment Analysis/1. What is sentiment analysis.mp4 37.1 MB
- 45. Vector Databases Module Introduction/1. Introduction to the course.mp4 37.0 MB
- 57. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/3. Transcribing multiple audio files from a directory.mp4 36.7 MB
- 40. LangChain Module Message History and Chatbot Memory/6. Combined memory.mp4 36.6 MB
- 42. LangChain Module LangChain Expression Language (LCEL)/7. RunnableParallel.mp4 36.3 MB
- 38. LangChain Module The OpenAI API/2. System, user, and assistant roles.mp4 36.2 MB
- 30. LLMs Module The Transformer Architecture/9. Predicting the final outputs.mp4 36.1 MB
- 07. Intro to AI Module The AI tech stack/5. Hugging Face.mp4 36.1 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/6. Embedding Algorithms.mp4 35.7 MB
- 60. LLM Engineering Module Planning stage/7. Database Design and Schema Development.mp4 35.6 MB
- 62. LLM Engineering Module Getting to Know Streamlit/6. Sessin State.mp4 35.4 MB
- 02. Intro to AI Module Data is essential for building AI/4. Metadata Data that describes data.mp4 35.4 MB
- 39. LangChain Module Model Inputs/3. System and human messages.mp4 35.4 MB
- 44. LangChain Module Tools and Agents/4. Creating a Wikipedia tool and piping it to a chain.mp4 34.8 MB
- 27. NLP Module Categorizing Fake News (Case Study)/8. What topics appear in fake news (Part 2).mp4 34.5 MB
- 42. LangChain Module LangChain Expression Language (LCEL)/2. Batching.mp4 34.0 MB
- 63. LLM Engineering Module Developing the prototype/6. Implementing Feedback Functionality Part 1.mp4 33.9 MB
- 21. NLP Module Text Preprocessing/1. The importance of data preparation.mp4 33.8 MB
- 55. Speech Recognition Module Transcribing Audio with Google Web Speech API/4. Evaluation metrics WER and CER.mp4 33.8 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/18. Vector database for biomedical research.mp4 33.6 MB
- 39. LangChain Module Model Inputs/4. AI messages.mp4 33.6 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/12. Indexing Creating a Chroma vectorstore.mp4 33.4 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/9. Indexing Document splitting with character text splitter (Code along).mp4 33.4 MB
- 40. LangChain Module Message History and Chatbot Memory/4. Conversation buffer window memory.mp4 33.3 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/8. Similarity search and querying the data.mp4 33.3 MB
- 24. NLP Module Vectorizing Text/1. Numerical representation of text.mp4 33.3 MB
- 40. LangChain Module Message History and Chatbot Memory/1. Chat message history.mp4 33.1 MB
- 25. NLP Module Topic Modelling/6. Latent Semantic Analysis (LSA).mp4 33.0 MB
- 20. NLP Module Introduction/3. Introduction to NLP.mp4 32.6 MB
- 07. Intro to AI Module The AI tech stack/2. Working with APIs.mp4 32.5 MB
- 11. Python Module Setting Up the Environment/1. Jupyter - Introduction.mp4 32.5 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
- 63. LLM Engineering Module Developing the prototype/2. Implementing the Chat Functionality.mp4 32.2 MB
- 46. Vector Databases Module Basics of Vector Space and High-Dimensional Data/3. Vector embeddings walkthrough.mp4 32.1 MB
- 23. NLP Module Sentiment Analysis/5. Practical task.mp4 31.7 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/1. Introduction to semantic search.mp4 31.4 MB
- 25. NLP Module Topic Modelling/2. When to use topic modelling.mp4 31.3 MB
- 62. LLM Engineering Module Getting to Know Streamlit/2. Streamlit's Pros and Cons.mp4 31.2 MB
- 31. LLMs Module Getting Started With GPT Models/1. What does GPT mean.mp4 30.9 MB
- 27. NLP Module Categorizing Fake News (Case Study)/9. Categorizing fake news with a custom classifier.mp4 30.8 MB
- 25. NLP Module Topic Modelling/5. LDA in Python.mp4 30.0 MB
- 25. NLP Module Topic Modelling/8. How many topics.mp4 29.9 MB
- 28. NLP Module The Future of NLP/4. What's next for NLP.mp4 29.7 MB
- 30. LLMs Module The Transformer Architecture/8. Masked multihead attention.mp4 29.7 MB
- 33. LLMs Module Question and Answer Models With BERT/4. BERT embeddings.mp4 29.7 MB
- 06. Intro to AI Module Practical challenges in Generative AI/3. Latency.mp4 29.6 MB
- 42. LangChain Module LangChain Expression Language (LCEL)/12. RunnablePassthrough with additional keys.mp4 29.0 MB
- 34. LLMs Module Text Classification With XLNet/4. XLNet Embeddings.mp4 28.9 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/17. Generation Stuffing documents.mp4 28.5 MB
- 44. LangChain Module Tools and Agents/5. Creating a retriever and a custom tool.mp4 28.5 MB
- 19. Python Module A Few Important Python Concepts and Terms/1. Introduction to Object Oriented Programming (OOP).mp4 28.2 MB
- 38. LangChain Module The OpenAI API/1. First Steps.mp4 28.1 MB
- 63. LLM Engineering Module Developing the prototype/9. Deploying Your Streamlit App.mp4 28.0 MB
- 42. LangChain Module LangChain Expression Language (LCEL)/3. Streaming.mp4 28.0 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/13. Indexing Inspecting and managing documents in a vectorstore.mp4 28.0 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
- 47. Vector Databases Module Introduction to The Pinecone Vector Database/6. Upserting data to a pinecone vector database.mp4 26.8 MB
- 39. LangChain Module Model Inputs/5. Prompt templates and prompt values.mp4 26.8 MB
- 04. Intro to AI Module Important AI branches/3. Traditional ML.mp4 26.8 MB
- 26. NLP Module Building Your Own Text Classifier/2. Logistic regression.mp4 26.5 MB
- 20. NLP Module Introduction/5. Supervised vs unsupervised NLP.mp4 26.3 MB
- 57. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/5. Reversing the process AI-powered text-to-speech.mp4 26.2 MB
- 11. Python Module Setting Up the Environment/2. Jupyter - Installing Anaconda.mp4 26.1 MB
- 23. NLP Module Sentiment Analysis/3. Pre-trained transformer models.mp4 25.9 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/16. Retrieval Vectorstore-backed retriever.mp4 25.6 MB
- 31. LLMs Module Getting Started With GPT Models/5. Customizing GPT output.mp4 25.3 MB
- 44. LangChain Module Tools and Agents/6. LangChain hub.mp4 25.3 MB
- 34. LLMs Module Text Classification With XLNet/5. Fine tuning XLNet.mp4 25.3 MB
- 15. Python Module Conditional Statements/7. Conditional Statements - The ELIF Statement.mp4 25.1 MB
- 27. NLP Module Categorizing Fake News (Case Study)/7. What topics appear in fake news (Part 1).mp4 25.0 MB
- 54. Speech Recognition Module Setting Up the Environment/2. Setting up a new environment.mp4 24.9 MB
- 32. LLMs Module Hugging Face Transformers/5. Hugging Face and PyTorchTensorFlow.mp4 24.9 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/10. Data preprocessing and embedding for courses with section data.mp4 24.5 MB
- 31. LLMs Module Getting Started With GPT Models/10. Adding custom data to our chatbot.mp4 24.4 MB
- 43. LangChain Module Retrieval Augmented Generation (RAG)/8. Indexing Document splitting with character text splitter (Theory).mp4 24.3 MB
- 47. Vector Databases Module Introduction to The Pinecone Vector Database/2. Pinecone registration, walkthrough and creating an Index.mp4 24.2 MB
- 29. LLMs Module Introduction to Large Language Models/5. General purpose models.mp4 24.2 MB
- 40. LangChain Module Message History and Chatbot Memory/2. Conversation buffer memory Implementing the setup.mp4 24.1 MB
- 12. Python Module Python Variables and Data Types/14. Types of Data - Strings.mp4 24.1 MB
- 14. Python Module More on Operators/7. Operators - Logical and Identity Operators.mp4 24.1 MB
- 22. NLP Module Identifying Parts of Speech and Named Entities/3. Named Entity Recognition (NER).mp4 24.0 MB
- 17. Python Module Sequences/14. Sequences - List Slicing.mp4 24.0 MB
- 62. LLM Engineering Module Getting to Know Streamlit/4. Streamlit Elements Text Methods.mp4 23.8 MB
- 11. Python Module Setting Up the Environment/4. Jupyter - Working with Notebook Files.mp4 23.7 MB
- 42. LangChain Module LangChain Expression Language (LCEL)/11. Adding memory to a chain (Part 1) Implementing the setup.mp4 23.5 MB
- 59. LLM Engineering Module Introduction/2. What does the course cover.mp4 23.4 MB
- 63. LLM Engineering Module Developing the prototype/5. Refining Our Project.mp4 23.2 MB
- 22. NLP Module Identifying Parts of Speech and Named Entities/1. Text tagging.mp4 23.0 MB
- 48. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/4. Data loading and preprocessing.mp4 22.8 MB
- 23. NLP Module Sentiment Analysis/2. Rule-based sentiment analysis.mp4 22.8 MB
- 63. LLM Engineering Module Developing the prototype/1. Initializing an OpenAI Client.mp4 22.4 MB
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- 53. Speech Recognition Module Technology Mechanics/5. Building a speech recognition model part I.vtt 5.2 KB
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- 01. Intro to AI Module Getting started/0. Websites you may like/[FCSNEW.NET].url 119 bytes
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- 47. Vector Databases Module Introduction to The Pinecone Vector Database/0. Websites you may like/[FCSNEW.NET].url 119 bytes
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- 59. LLM Engineering Module Introduction/0. Websites you may like/[FCSNEW.NET].url 119 bytes
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- 01. Intro to AI Module Getting started/1. Intro to AI - Flashcards.txt 75 bytes
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