[ WebToolTip.com ] Udemy - Generative AI Skillpath - Zero to Hero in Generative AI

~Get Your Files Here !/4 - Prompt evaluation/3 - Evaluating Prompts with PromptFoo.mp4

~Get Your Files Here !/2 - Prompt Engineering/4 - Prompting Framework Chain of Thought.mp4

~Get Your Files Here !/2 - Prompt Engineering/9 - Thought structure Tree-of-Thought Prompting.mp4

~Get Your Files Here !/14 - What's under the hood Understanding the foundations of LLMs/3 - Understanding How AI Learns.mp4

~Get Your Files Here !/8 - Chains and Runnables (LangChain Expressions Language)/4 - Example Managing Execution Flow with LCEL.mp4

~Get Your Files Here !/3 - Prompt hyperparameters and their tuning/5 - Tuning Prompt Parameters for Optimal Results.mp4

~Get Your Files Here !/10 - Retrieval Augmented Generation - Building your own RAG applications/2 - Step 1 Reading Documents in RAG Workflow.mp4

~Get Your Files Here !/11 - Tools and Agents Building your own AI Agents/4 - Working with Agents in LangChain.mp4

~Get Your Files Here !/14 - What's under the hood Understanding the foundations of LLMs/4 - Evolution from Linear Regression to Neural Networks.mp4

~Get Your Files Here !/8 - Chains and Runnables (LangChain Expressions Language)/6 - Implementing Dynamic Routing in LCEL.mp4

~Get Your Files Here !/14 - What's under the hood Understanding the foundations of LLMs/1 - Strengths and Limitations of Generative AI.mp4

~Get Your Files Here !/10 - Retrieval Augmented Generation - Building your own RAG applications/6 - Building an End-to-End RAG Application.mp4

~Get Your Files Here !/11 - Tools and Agents Building your own AI Agents/2 - Developing Custom Tools with LangChain.mp4

~Get Your Files Here !/14 - What's under the hood Understanding the foundations of LLMs/2 - Generative AI The Magic Behind the Mechanism.mp4

~Get Your Files Here !/18 - Model Optimization & Deployment/2 - Exporting and Downloading Your Model.mp4

~Get Your Files Here !/11 - Tools and Agents Building your own AI Agents/3 - LangChain Built-in Tools DuckDuckGo Search and Wikipedia.mp4

~Get Your Files Here !/18 - Model Optimization & Deployment/6 - Applying Quantization Techniques – Hands-On.mp4

~Get Your Files Here !/9 - Memory in LangChain/2 - Understanding Conversation Buffer Memory.mp4

~Get Your Files Here !/12 - LangSmith for monitoring our Application/2 - Running and Monitoring Applications Using LangSmith.mp4

~Get Your Files Here !/10 - Retrieval Augmented Generation - Building your own RAG applications/3 - Step 2 Creating Chunks in the RAG Process.mp4

~Get Your Files Here !/17 - Model Compilation & Profiling/4 - Practical Model Profiling Exercise.mp4

~Get Your Files Here !/1 - Introduction/1 - Introduction.mp4

~Get Your Files Here !/18 - Model Optimization & Deployment/1 - Running Model Inference on Device.mp4

~Get Your Files Here !/14 - What's under the hood Understanding the foundations of LLMs/5 - Understanding Tokens and Embeddings.mp4

~Get Your Files Here !/3 - Prompt hyperparameters and their tuning/2 - Temperature & Top-p Controlling Randomness.mp4

~Get Your Files Here !/10 - Retrieval Augmented Generation - Building your own RAG applications/5 - Step 4 Storing Embeddings in a Vector Database.mp4

~Get Your Files Here !/6 - Using Ollama with Python/2 - Working with the Ollama Library in Python.mp4

~Get Your Files Here !/2 - Prompt Engineering/8 - Prompting Framework Chain-of-Density.mp4

~Get Your Files Here !/18 - Model Optimization & Deployment/5 - Asymmetric Quantization Explained.mp4

~Get Your Files Here !/14 - What's under the hood Understanding the foundations of LLMs/8 - Pre-Training vs Fine-Tuning — How Models Evolve.mp4

~Get Your Files Here !/13 - Creating Graphical UI using Streamlit for our application/2 - Building a GUI for Your GenAI App Using Streamlit.mp4

~Get Your Files Here !/8 - Chains and Runnables (LangChain Expressions Language)/1 - Using the Pipe Operator in LCEL.mp4

~Get Your Files Here !/14 - What's under the hood Understanding the foundations of LLMs/7 - How Language Models Generate Predictions.mp4

~Get Your Files Here !/5 - Running LLMs Locally on your PC/3 - Model customization via Command Line or Terminal.mp4

~Get Your Files Here !/10 - Retrieval Augmented Generation - Building your own RAG applications/1 - Retrieval Augmented Generation Concepts.mp4

~Get Your Files Here !/11 - Tools and Agents Building your own AI Agents/5 - Building a Memory-Enabled Agent in LangChain.mp4

~Get Your Files Here !/17 - Model Compilation & Profiling/1 - Model Compilation – Concepts and Process.mp4

~Get Your Files Here !/18 - Model Optimization & Deployment/4 - Symmetric Quantization Explained.mp4

~Get Your Files Here !/15 - Getting Started with On-Device AI/2 - Exploring the Qualcomm AI Hub.mp4

~Get Your Files Here !/5 - Running LLMs Locally on your PC/2 - Configuring Ollama and downloading models.mp4

~Get Your Files Here !/4 - Prompt evaluation/1 - Three Methods to Evaluate Prompt Quality.mp4

~Get Your Files Here !/9 - Memory in LangChain/7 - Using Runnables with Message History.mp4

~Get Your Files Here !/10 - Retrieval Augmented Generation - Building your own RAG applications/4 - Step 3 Generating Embeddings in the RAG Workflow.mp4

~Get Your Files Here !/3 - Prompt hyperparameters and their tuning/1 - Understanding Prompt Hyperparameters.mp4

~Get Your Files Here !/7 - Building LLM Applications using LangChain in Python/3 - LangChain Fundamentals Formatting the Output.mp4

~Get Your Files Here !/16 - Model Training & Deployment Steps/2 - Model Training Phase – Concepts & Workflow.mp4

~Get Your Files Here !/2 - Prompt Engineering/2 - Best Practices for Prompting.mp4

~Get Your Files Here !/13 - Creating Graphical UI using Streamlit for our application/1 - Introduction to Streamlit.mp4

~Get Your Files Here !/14 - What's under the hood Understanding the foundations of LLMs/6 - Inside Transformers — The Core Architecture of LLMs.mp4

~Get Your Files Here !/5 - Running LLMs Locally on your PC/4 - Building, Saving, and Implementing a Custom Ollama Model.mp4