Download Udemy - Generative AI Skillpath - Zero to Hero in Generative AI Torrent

Torrent Contents Size: 3.8 GB

Udemy - Generative AI Skillpath - Zero to Hero in Generative AI

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1 - About your certificate.html	HTML	921.6 B
1 - Bonus lecture.html	HTML	9.1 KB
1 - Configuring the Python Environment.mp4	MP4	21.2 MB
1 - Crafting Effective Prompts Be Detailed and Specific.mp4	MP4	20.9 MB
1 - Downloading and Installing Ollama Setup.mp4	MP4	14.7 MB
1 - Introduction to Streamlit.mp4	MP4	34.6 MB
1 - Introduction.mp4	MP4	63.9 MB
1 - Model Compilation – Concepts and Process.mp4	MP4	43.6 MB
1 - Overview to Memory in LangChain.mp4	MP4	28.4 MB
1 - Overview of LangSmith and Its Capabilities.mp4	MP4	19.4 MB
1 - Overview of Tools and Agents in LangChain.mp4	MP4	29.6 MB
1 - Retrieval Augmented Generation Concepts.mp4	MP4	47 MB
1 - Running Model Inference on Device.mp4	MP4	63.2 MB
1 - Strengths and Limitations of Generative AI - foundation of AI.pdf	PDF	3.2 MB
1 - Strengths and Limitations of Generative AI.mp4	MP4	75 MB
1 - Three Methods to Evaluate Prompt Quality.mp4	MP4	42.2 MB
1 - Understanding LangChain Objectives and Core Benefits.mp4	MP4	25.5 MB
1 - Understanding On-Device Model Deployment Steps.mp4	MP4	31 MB
1 - Understanding Prompt Hyperparameters.mp4	MP4	39.5 MB
1 - Using the Pipe Operator in LCEL.mp4	MP4	47.6 MB
1 - What is On-Device AI.mp4	MP4	22.5 MB
10 - Thought structures Skeleton-of-Thought Prompting.mp4	MP4	24.8 MB
11 - Thought structures Program-of-Thought Prompting.mp4	MP4	32.9 MB
2 - Best Practices for Prompting.mp4	MP4	35.2 MB
2 - Bonus lecture.html	HTML	9.1 KB
2 - Building a GUI for Your GenAI App Using Streamlit.mp4	MP4	50 MB
2 - Conducting Prompt AB Testing.mp4	MP4	21.4 MB
2 - Configuring Ollama and downloading models.mp4	MP4	42.4 MB
2 - Developing Custom Tools with LangChain.mp4	MP4	73.6 MB
2 - Exploring the Qualcomm AI Hub.mp4	MP4	42.5 MB
2 - Exporting and Downloading Your Model.mp4	MP4	70.5 MB
2 - Generative AI The Magic Behind the Mechanism.mp4	MP4	71.3 MB
2 - Hands-On Model Compilation.mp4	MP4	30.1 MB
2 - LangChain Fundamentals Prompt Templates and LLM Models.mp4	MP4	28.9 MB
2 - Model Training Phase – Concepts & Workflow.mp4	MP4	35.3 MB
2 - Running and Monitoring Applications Using LangSmith.mp4	MP4	65.3 MB
2 - Step 1 Reading Documents in RAG Workflow.mp4	MP4	82.3 MB
2 - Temperature & Top-p Controlling Randomness.mp4	MP4	61.5 MB
2 - Understanding Conversation Buffer Memory.mp4	MP4	66.4 MB
2 - Understanding Runnables Theoretical Foundations.mp4	MP4	20.3 MB
2 - Working with the Ollama Library in Python.mp4	MP4	56.1 MB
3 - Customizing Memory Using Memory Keys and Adding Messages.mp4	MP4	30 MB
3 - Evaluating Prompts with PromptFoo - Link to download nodejs.url	URL	102.4 B
3 - Evaluating Prompts with PromptFoo - Prompts+and+test+cases+for+promptfoo.docx	DOCX	13.9 KB
3 - Evaluating Prompts with PromptFoo.mp4	MP4	136.6 MB
3 - Hands-On Model Training in Practice.mp4	MP4	32.3 MB
3 - Invoking the Model via the Ollama REST API.mp4	MP4	23.7 MB
3 - LangChain Built-in Tools DuckDuckGo Search and Wikipedia.mp4	MP4	70.2 MB
3 - LangChain Fundamentals Formatting the Output.mp4	MP4	39 MB
3 - Max Tokens & Stop Sequences Managing Output Length.mp4	MP4	23 MB
3 - Model Profiling – Theory & Performance Insights.mp4	MP4	17.6 MB
3 - Model customization via Command Line or Terminal.mp4	MP4	47.3 MB
3 - Overview to Quantization.mp4	MP4	25.5 MB
3 - Runnable Types Parallel, Passthrough, and Lambda.mp4	MP4	25.3 MB
3 - Setting Up and Logging Into Qualcomm AI Hub.mp4	MP4	17.1 MB
3 - Step 2 Creating Chunks in the RAG Process.mp4	MP4	65.2 MB
3 - Understanding How AI Learns.mp4	MP4	92.8 MB
3 - Using Prompt Templates for Consistency.mp4	MP4	32 MB
3 -Link to download nodejs.url	URL	102.4 B
4 - Building, Saving, and Implementing a Custom Ollama Model.mp4	MP4	33.3 MB
4 - Evolution from Linear Regression to Neural Networks.mp4	MP4	77.8 MB
4 - Example Managing Execution Flow with LCEL.mp4	MP4	90.5 MB
4 - Implementing Conversation Chains.mp4	MP4	26.7 MB
4 - Practical Model Profiling Exercise.mp4	MP4	65.2 MB
4 - Presence & Frequency Penalties Adding Variety.mp4	MP4	15.7 MB
4 - Prompting Framework Chain of Thought.mp4	MP4	114.7 MB
4 - Step 3 Generating Embeddings in the RAG Workflow.mp4	MP4	40 MB
4 - Symmetric Quantization Explained.mp4	MP4	42.8 MB
4 - Working with Agents in LangChain.mp4	MP4	79.1 MB
5 - Asymmetric Quantization Explained.mp4	MP4	52.5 MB
5 - Building a Memory-Enabled Agent in LangChain.mp4	MP4	44.5 MB
5 - Prompting Framework Step-Back Reasoning.mp4	MP4	29.5 MB
5 - Step 4 Storing Embeddings in a Vector Database.mp4	MP4	60.8 MB
5 - Tuning Prompt Parameters for Optimal Results - Prompt+parameter+tuning.ipynb	IPYNB	10.9 KB
5 - Tuning Prompt Parameters for Optimal Results.mp4	MP4	82.8 MB
5 - Understanding Dynamic Routing in LangChain.mp4	MP4	21.3 MB
5 - Understanding Tokens and Embeddings.mp4	MP4	61.7 MB
5 - Working with Conversation Buffer Window Memory.mp4	MP4	25.9 MB
6 - Applying Quantization Techniques – Hands-On.mp4	MP4	69.1 MB
6 - Building an End-to-End RAG Application.mp4	MP4	73.6 MB
6 - Implementing Dynamic Routing in LCEL.mp4	MP4	76.4 MB
6 - Inside Transformers — The Core Architecture of LLMs.mp4	MP4	34.5 MB
6 - Prompting Framework Role Prompting.mp4	MP4	21 MB
6 - Understanding Conversation Summary Memory.mp4	MP4	30.9 MB
7 - How Language Models Generate Predictions.mp4	MP4	47.4 MB
7 - Prompting Framework Self-Consistency.mp4	MP4	26.5 MB
7 - Using Runnables with Message History.mp4	MP4	40.3 MB
8 - Pre-Training vs Fine-Tuning — How Models Evolve.mp4	MP4	51.6 MB
8 - Prompting Framework Chain-of-Density.mp4	MP4	53.9 MB
9 - Exploring Open-Source LLMs.mp4	MP4	18.6 MB
9 - Thought structure Tree-of-Thought Prompting.mp4	MP4	102.1 MB
Bonus Resources.txt	TXT	102.4 B
Get Bonus Downloads Here.url	URL	204.8 B

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Udemy - Generative AI Skillpath - Zero to Hero in Generative AI

Torrent Contents Size: 3.8 GB

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