Udemy - Open-source LLMs Uncensored & secure AI locally with RAG (8.2024)

磁力链接/BT种子名称

Udemy - Open-source LLMs Uncensored & secure AI locally with RAG (8.2024)

磁力链接/BT种子简介

种子哈希：00f95c46431b22a0448a3dfdaf2d196c6dd46d66
文件大小： 5.41G
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收录时间：2025-07-22
最近下载：2025-07-31

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文件列表

  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/05. Finetuning Open-Source LLMs with Google Colab, Alpaca + Llama-3 8b from Unsloth.mp4 285.5 MB
  • 07. Local AI Agents with Open-Source LLMs/02. AI Agents Definition & Available Tools for Creating Opensource AI-Agents.mp4 221.7 MB
  • 06. Optimizing RAG Apps Tips for Data Preparation/03. More Efficient RAG with LlamaIndex & LlamaParse Data Preparation for PDFs &more.mp4 179.5 MB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/03. Using Open-Source Models in LM Studio Llama 3, Mistral, Phi-3 & more.mp4 172.4 MB
  • 09. Data Privacy, Security, and What Comes Next/02. Jailbreaks Security Risks from Attacks on LLMs with Prompts.mp4 171.7 MB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/04. Disadvantages of Closed-Source LLMs like ChatGPT, Gemini, and Claude.mp4 165.7 MB
  • 07. Local AI Agents with Open-Source LLMs/08. AI Agents with Function Calling, Internet and Three Experts for Social Media.mp4 160.6 MB
  • 07. Local AI Agents with Open-Source LLMs/06. Local RAG Chatbot with Flowise, LLama3 & Ollama A Local Langchain App.mp4 157.0 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/11. Tree of Thoughts (ToT) Prompting in LLMs.mp4 148.0 MB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/05. Local RAG Chatbot with Anything LLM & LM Studio.mp4 141.3 MB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/03. Vector Databases, Embedding Models & Retrieval-Augmented Generation (RAG).mp4 128.8 MB
  • 07. Local AI Agents with Open-Source LLMs/09. Which AI Agent Should You Build & External Hosting with Render.mp4 124.9 MB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/04. Installing Anything LLM and Setting Up a Local Server for a RAG Pipeline.mp4 124.9 MB
  • 09. Data Privacy, Security, and What Comes Next/03. Prompt Injections Security Problem of LLMs.mp4 117.1 MB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/07. Some Examples of Image Recognition (Vision).mp4 114.0 MB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/04. 4 Censored vs. Uncensored LLMs Llama3 with Dolphin Finetuning.mp4 111.1 MB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/10. Recap What You Should Remember!.mp4 109.2 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/01. HuggingChat An Interface for Using Open-Source LLMs.mp4 107.9 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/09. Reverse Prompt Engineering and the OK Trick.mp4 106.3 MB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/01. Requirements for Using Open-Source LLMs Locally GPU, CPU & Quantization.mp4 101.8 MB
  • 07. Local AI Agents with Open-Source LLMs/10. Chatbot with Open-Source Models from Huggingface & Embeddings in HTML (Mixtral).mp4 99.3 MB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/09. Renting a GPU with Runpod or Massed Compute if Your Local PC Isn't Enough.mp4 96.8 MB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/03. Which LLMs are available and what should I use Finding The Best LLMs.mp4 94.6 MB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/08. Other Features of Anything LLM TTS and External APIs.mp4 91.1 MB
  • 09. Data Privacy, Security, and What Comes Next/07. My Thanks and What's Next.mp4 88.2 MB
  • 07. Local AI Agents with Open-Source LLMs/07. Our First AI Agent Python Code & Documentation with Superwicer and 2 Worker.mp4 82.5 MB
  • 07. Local AI Agents with Open-Source LLMs/12. Recap What You Should Remember.mp4 80.5 MB
  • 09. Data Privacy, Security, and What Comes Next/06. Commercial Use and Selling of AI-Generated Content.mp4 77.1 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/13. Creating Your Own Assistants in HuggingChat.mp4 76.7 MB
  • 09. Data Privacy, Security, and What Comes Next/05. Data Privacy and Security Is Your Data at Risk.mp4 74.1 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/06. Instruction Prompting and some Cool Tricks.mp4 72.8 MB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/02. What are LLMs like ChatGPT, Llama, Mistral, etc.mp4 71.1 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/08. Shot Prompting Zero-Shot, One-Shot & Few-Shot Prompts.mp4 70.3 MB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/10. Recap Don't Forget This!.mp4 70.2 MB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/08. Grok from xAI.mp4 69.2 MB
  • 09. Data Privacy, Security, and What Comes Next/04. Data Poisoning and Backdoor Attacks.mp4 68.9 MB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/02. Text-to-Speech (TTS) with Google Colab.mp4 67.3 MB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/06. Vision (Image Recognition) with Open-Source LLMs Llama3, Llava & Phi3 Vision.mp4 66.5 MB
  • 07. Local AI Agents with Open-Source LLMs/11. Insanely fast inference with the Groq API.mp4 65.2 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/07. Role Prompting for LLMs.mp4 57.4 MB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/06. Recap Don't Forget This!.mp4 56.1 MB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/05. The Use Cases of classic LLMs like Phi-3 Llama and more.mp4 56.0 MB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/02. Installing LM Studio and Alternative Methods for Running LLMs.mp4 53.9 MB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/04. Finetuning an Open-Source Model with Huggingface or Google Colab.mp4 53.3 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/12. The Combination of Prompting Concepts.mp4 51.7 MB
  • 07. Local AI Agents with Open-Source LLMs/04. Installing Flowise with Node.js (JavaScript Runtime Environment).mp4 50.6 MB
  • 06. Optimizing RAG Apps Tips for Data Preparation/02. Tips for Better RAG Apps Firecrawl for Your Data from Websites.mp4 50.4 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/15. Recap What You Should Remember.mp4 50.0 MB
  • 06. Optimizing RAG Apps Tips for Data Preparation/06. Recap What You Learned in This Section.mp4 46.6 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/05. The structured Prompt Copy my Prompts.mp4 46.3 MB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/09. Downloading Ollama & Llama 3, Creating & Linking a Local Server.mp4 44.7 MB
  • 07. Local AI Agents with Open-Source LLMs/05. The Flowise Interface for AI-Agents and RAG ChatBots.mp4 42.8 MB
  • 01. Introduction and Overview/03. My Goal and Some Tips.mp4 42.0 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/10. Chain of Thought Prompting Let`s think Step by Step.mp4 40.1 MB
  • 01. Introduction and Overview/04. Explanation of the Links.mp4 39.5 MB
  • 07. Local AI Agents with Open-Source LLMs/01. What Will Be Covered in This Section on AI Agents.mp4 35.2 MB
  • 06. Optimizing RAG Apps Tips for Data Preparation/05. Chunk Size and Chunk Overlap for a Better RAG Application.mp4 34.8 MB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/05. Advantages and Disadvantages of Open-Source LLMs like Llama3, Mistral & more.mp4 32.9 MB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/06. Function Calling with Llama 3 & Anything LLM (Searching the Internet).mp4 32.6 MB
  • 09. Data Privacy, Security, and What Comes Next/01. THE LAST SECTION What is This About.mp4 32.6 MB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/01. What Will Be Covered in This Section.mp4 31.2 MB
  • 07. Local AI Agents with Open-Source LLMs/03. We use Langchain with Flowise, Locally with Node.js.mp4 29.1 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/02. System Prompts An Important Part of Prompt Engineering.mp4 29.0 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/03. Why is Prompt Engineering Important [A example].mp4 27.5 MB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/07. Llama 3.1 Infos and What Models should you use.mp4 27.4 MB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/02. What is Function Calling in LLMs.mp4 26.3 MB
  • 06. Optimizing RAG Apps Tips for Data Preparation/04. LlamaIndex Update LlamaParse made easy!.mp4 26.3 MB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/07. Function Calling, Summarizing Data, Storing & Creating Charts with Python.mp4 26.2 MB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/09. Summary of What You Learned & an Outlook to Lokal Servers & Prompt Engineering.mp4 25.4 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/04. Semantic Association The most Importnant Concept you need to understand.mp4 24.6 MB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/08. More Details on Hardware GPU Offload, CPU, RAM, and VRAM.mp4 23.5 MB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/06. What is the Best Open-Source LLM I Should Use.mp4 22.8 MB
  • 06. Optimizing RAG Apps Tips for Data Preparation/01. What Will Be Covered in This Section Better RAG, Data & Chunking.mp4 22.7 MB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/01. What Is This Section About.mp4 21.8 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/14. Groq Using Open-Source LLMs with a Fast LPU Chip Instead of a GPU.mp4 19.3 MB
  • 01. Introduction and Overview/02. Course Overview.mp4 18.4 MB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/03. Moshi Talk to an Open-Source AI.mp4 11.6 MB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/01. What is this Section about.mp4 10.2 MB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/assets/12. 3-Prompt-Engineering-Framework.pdf 52.8 kB
  • 01. Introduction and Overview/assets/05. Links.pdf 32.7 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/assets/12. 3-Prompt-Engineering-Framework.odt 30.4 kB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/05. Finetuning Open-Source LLMs with Google Colab, Alpaca + Llama-3 8b from Unsloth.vtt 30.2 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/assets/12. 4-Prompt-Generator.pdf 29.6 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/assets/12. 4-Prompt-Generator.odt 29.2 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/assets/05. 1-The-structured-Prompt.pdf 25.4 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/assets/05. 1-The-structured-Prompt.odt 24.4 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/assets/09. 2-Revers-Prompt-Engineering.odt 24.1 kB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/03. Using Open-Source Models in LM Studio Llama 3, Mistral, Phi-3 & more.vtt 23.2 kB
  • 07. Local AI Agents with Open-Source LLMs/08. AI Agents with Function Calling, Internet and Three Experts for Social Media.vtt 21.3 kB
  • 07. Local AI Agents with Open-Source LLMs/06. Local RAG Chatbot with Flowise, LLama3 & Ollama A Local Langchain App.vtt 20.9 kB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/05. Local RAG Chatbot with Anything LLM & LM Studio.vtt 20.0 kB
  • 07. Local AI Agents with Open-Source LLMs/07. Our First AI Agent Python Code & Documentation with Superwicer and 2 Worker.vtt 19.7 kB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/assets/08. Hardware.docx 19.7 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/assets/09. 2-Revers-Prompt-Engineering.pdf 19.1 kB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/02. What are LLMs like ChatGPT, Llama, Mistral, etc.vtt 18.3 kB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/09. Downloading Ollama & Llama 3, Creating & Linking a Local Server.vtt 17.8 kB
  • 01. Introduction and Overview/assets/05. Links.docx 17.4 kB
  • 07. Local AI Agents with Open-Source LLMs/09. Which AI Agent Should You Build & External Hosting with Render.vtt 17.3 kB
  • 07. Local AI Agents with Open-Source LLMs/02. AI Agents Definition & Available Tools for Creating Opensource AI-Agents.vtt 17.0 kB
  • 06. Optimizing RAG Apps Tips for Data Preparation/03. More Efficient RAG with LlamaIndex & LlamaParse Data Preparation for PDFs &more.vtt 16.5 kB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/08. Other Features of Anything LLM TTS and External APIs.vtt 15.9 kB
  • 09. Data Privacy, Security, and What Comes Next/02. Jailbreaks Security Risks from Attacks on LLMs with Prompts.vtt 15.7 kB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/04. Installing Anything LLM and Setting Up a Local Server for a RAG Pipeline.vtt 15.7 kB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/03. Vector Databases, Embedding Models & Retrieval-Augmented Generation (RAG).vtt 14.9 kB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/04. Disadvantages of Closed-Source LLMs like ChatGPT, Gemini, and Claude.vtt 13.4 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/11. Tree of Thoughts (ToT) Prompting in LLMs.vtt 12.4 kB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/02. Text-to-Speech (TTS) with Google Colab.vtt 12.0 kB
  • 07. Local AI Agents with Open-Source LLMs/11. Insanely fast inference with the Groq API.vtt 11.7 kB
  • 07. Local AI Agents with Open-Source LLMs/10. Chatbot with Open-Source Models from Huggingface & Embeddings in HTML (Mixtral).vtt 11.6 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/01. HuggingChat An Interface for Using Open-Source LLMs.vtt 11.3 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/09. Reverse Prompt Engineering and the OK Trick.vtt 11.1 kB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/07. Some Examples of Image Recognition (Vision).vtt 11.1 kB
  • 09. Data Privacy, Security, and What Comes Next/06. Commercial Use and Selling of AI-Generated Content.vtt 11.0 kB
  • 09. Data Privacy, Security, and What Comes Next/03. Prompt Injections Security Problem of LLMs.vtt 10.9 kB
  • 06. Optimizing RAG Apps Tips for Data Preparation/05. Chunk Size and Chunk Overlap for a Better RAG Application.vtt 10.9 kB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/06. Vision (Image Recognition) with Open-Source LLMs Llama3, Llava & Phi3 Vision.vtt 10.8 kB
  • 09. Data Privacy, Security, and What Comes Next/05. Data Privacy and Security Is Your Data at Risk.vtt 10.7 kB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/07. Function Calling, Summarizing Data, Storing & Creating Charts with Python.vtt 10.6 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/13. Creating Your Own Assistants in HuggingChat.vtt 10.5 kB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/02. Installing LM Studio and Alternative Methods for Running LLMs.vtt 10.2 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/02. System Prompts An Important Part of Prompt Engineering.vtt 10.1 kB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/09. Renting a GPU with Runpod or Massed Compute if Your Local PC Isn't Enough.vtt 10.1 kB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/04. 4 Censored vs. Uncensored LLMs Llama3 with Dolphin Finetuning.vtt 9.9 kB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/06. Function Calling with Llama 3 & Anything LLM (Searching the Internet).vtt 9.9 kB
  • 01. Introduction and Overview/02. Course Overview.vtt 9.3 kB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/03. Which LLMs are available and what should I use Finding The Best LLMs.vtt 9.3 kB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/01. Requirements for Using Open-Source LLMs Locally GPU, CPU & Quantization.vtt 9.0 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/10. Chain of Thought Prompting Let`s think Step by Step.vtt 9.0 kB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/02. What is Function Calling in LLMs.vtt 8.8 kB
  • 07. Local AI Agents with Open-Source LLMs/04. Installing Flowise with Node.js (JavaScript Runtime Environment).vtt 8.7 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/08. Shot Prompting Zero-Shot, One-Shot & Few-Shot Prompts.vtt 8.7 kB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/10. Recap What You Should Remember!.vtt 8.1 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/12. The Combination of Prompting Concepts.vtt 8.1 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/06. Instruction Prompting and some Cool Tricks.vtt 7.9 kB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/04. Finetuning an Open-Source Model with Huggingface or Google Colab.vtt 7.5 kB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/05. The Use Cases of classic LLMs like Phi-3 Llama and more.vtt 7.4 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/07. Role Prompting for LLMs.vtt 7.4 kB
  • 07. Local AI Agents with Open-Source LLMs/03. We use Langchain with Flowise, Locally with Node.js.vtt 7.2 kB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/09. Summary of What You Learned & an Outlook to Lokal Servers & Prompt Engineering.vtt 7.2 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/05. The structured Prompt Copy my Prompts.vtt 7.0 kB
  • 01. Introduction and Overview/05. Important Links.html 6.9 kB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/03. Moshi Talk to an Open-Source AI.vtt 6.9 kB
  • 07. Local AI Agents with Open-Source LLMs/05. The Flowise Interface for AI-Agents and RAG ChatBots.vtt 6.7 kB
  • 03. The Easiest Way to Run Open-Source LLMs Locally & What You Need/08. More Details on Hardware GPU Offload, CPU, RAM, and VRAM.vtt 6.7 kB
  • 09. Data Privacy, Security, and What Comes Next/07. My Thanks and What's Next.vtt 6.5 kB
  • 07. Local AI Agents with Open-Source LLMs/12. Recap What You Should Remember.vtt 6.1 kB
  • 01. Introduction and Overview/03. My Goal and Some Tips.vtt 6.0 kB
  • 06. Optimizing RAG Apps Tips for Data Preparation/02. Tips for Better RAG Apps Firecrawl for Your Data from Websites.vtt 5.7 kB
  • 09. Data Privacy, Security, and What Comes Next/08. Bonus.html 5.6 kB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/06. What is the Best Open-Source LLM I Should Use.vtt 5.2 kB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/10. Recap Don't Forget This!.vtt 5.0 kB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/08. Grok from xAI.vtt 5.0 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/14. Groq Using Open-Source LLMs with a Fast LPU Chip Instead of a GPU.vtt 4.9 kB
  • 09. Data Privacy, Security, and What Comes Next/04. Data Poisoning and Backdoor Attacks.vtt 4.8 kB
  • 01. Introduction and Overview/04. Explanation of the Links.vtt 4.6 kB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/05. Advantages and Disadvantages of Open-Source LLMs like Llama3, Mistral & more.vtt 4.5 kB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/06. Recap Don't Forget This!.vtt 4.3 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/04. Semantic Association The most Importnant Concept you need to understand.vtt 4.1 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/03. Why is Prompt Engineering Important [A example].vtt 4.0 kB
  • 04. Prompt Engineering for Open-Source LLMs and Their Use in the Cloud/15. Recap What You Should Remember.vtt 3.8 kB
  • 06. Optimizing RAG Apps Tips for Data Preparation/06. Recap What You Learned in This Section.vtt 3.3 kB
  • 06. Optimizing RAG Apps Tips for Data Preparation/04. LlamaIndex Update LlamaParse made easy!.vtt 3.2 kB
  • 08. Finetuning, Renting GPUs, Open-Source TTS, Finding the BEST LLM & More Tips/01. What Is This Section About.vtt 3.0 kB
  • 07. Local AI Agents with Open-Source LLMs/01. What Will Be Covered in This Section on AI Agents.vtt 2.6 kB
  • 09. Data Privacy, Security, and What Comes Next/01. THE LAST SECTION What is This About.vtt 2.5 kB
  • 05. Function Calling, RAG, and Vector Databases with Open-Source LLMs/01. What Will Be Covered in This Section.vtt 2.2 kB
  • 06. Optimizing RAG Apps Tips for Data Preparation/01. What Will Be Covered in This Section Better RAG, Data & Chunking.vtt 1.6 kB
  • 02. Why Open-Source LLMs Differences, Advantages, and Disadvantages/01. What is this Section about.vtt 743 Bytes
  • 01. Introduction and Overview/01. Welcome.html 689 Bytes

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