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Quick Start Guide to Large Language Models (LLMs) ChatGPT, Llama, Embeddings, Fine-Tuning, and Multimodal AI

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种子名称： Quick Start Guide to Large Language Models (LLMs) ChatGPT, Llama, Embeddings, Fine-Tuning, and Multimodal AI
文件类型： 视频
文件数目： 64个文件
文件大小： 4.27 GB
收录时间： 2025-5-16 09:37
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最近下载： 2025-5-30 07:55

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Quick Start Guide to Large Language Models LLMs ChatGPT Llama Embeddings Fine-Tuning and Multimodal AI

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Quick Start Guide to Large Language Models (LLMs) ChatGPT, Llama, Embeddings, Fine-Tuning, and Multimodal AI.torrent
  • Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/005. 5.4 Case Study Predicting with Android App Reviews Part 2.mp4224.34MB
  • Module 1 Introduction to Large Language Models/001. Module Introduction.mp421.98MB
  • Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/001. Topics.mp45.98MB
  • Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/002. 1.1 What Are Large Language Models.mp4120.87MB
  • Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.mp497.86MB
  • Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/004. 1.3 Applications of LLMs.mp416.26MB
  • Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/001. Topics.mp44.3MB
  • Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.mp464.18MB
  • Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.mp4148.61MB
  • Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.mp4160.95MB
  • Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/001. Topics.mp45.29MB
  • Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.mp4121.85MB
  • Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.mp422.42MB
  • Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/004. 3.3 Building a Retrieval-Augmented Generation BOT with ChatGPT and GPT-4.mp4170.8MB
  • Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/001. Topics.mp44.63MB
  • Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/002. 4.1 Introduction to Retrival Augmented Generation (RAG).mp454.13MB
  • Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/003. 4.2 Building a RAG bot.mp4113.33MB
  • Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/004. 4.3 Using Open Source Models with RAG.mp4103.61MB
  • Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/005. 4.4 Expanding into AI Agents.mp4116.64MB
  • Module 2 Getting the Most Out of LLMs/001. Module Introduction.mp419.68MB
  • Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/001. Topics.mp45.17MB
  • Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/002. 5.1 Transfer Learning A Primer.mp426.17MB
  • Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/003. 5.2 The OpenAI Fine-Tuning API.mp429.78MB
  • Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/004. 5.3 Case Study Predicting with Android App Reviews Part 1.mp437.35MB
  • Introduction/001. Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs) Introduction.mp422.54MB
  • Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/001. Topics.mp43.3MB
  • Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/002. 6.1 InputOutput Validation.mp446.03MB
  • Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/003. 6.2 Batch Prompting + Prompt Chaining.mp440.08MB
  • Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/004. 6.3 Chain-of-Thought Prompting.mp460.08MB
  • Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/005. 6.4 Preventing Prompt Injection Attacks.mp421.51MB
  • Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/006. 6.5 Assessing an LLM s Encoded Knowledge Level.mp427.96MB
  • Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/001. Topics.mp44.96MB
  • Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/002. 7.1 Case Study Building an Anime Recommendation System.mp453.87MB
  • Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/003. 7.2 Using OpenAI s Embedded Models.mp4120.55MB
  • Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/004. 7.3 Fine-tuning an Embedding Model to Capture User Behavior.mp4152.09MB
  • Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/001. Topics.mp45.56MB
  • Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/002. 8.1 Introduction to AI Alignment.mp472.04MB
  • Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/003. 8.2 Evaluating Alignment Plus Ethics.mp491.52MB
  • Module 3 Advanced LLM Usage/001. Module Introduction.mp427.49MB
  • Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/001. Topics.mp45.68MB
  • Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/002. 9.1 The Vision Transformer.mp413.29MB
  • Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/003. 9.2 Using Cross Attention to Mix Data Modalities.mp417.72MB
  • Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/004. 9.3 Case Study Visual QA Setting Up Our Model.mp4112.92MB
  • Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/005. 9.4 Case Study Visual QA Setting Up Our Parameters and Data.mp4105.41MB
  • Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/006. 9.5 Introduction to Reinforcement Learning from Feedback.mp458.54MB
  • Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/007. 9.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.mp4130.07MB
  • Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/001. Topics.mp45.76MB
  • Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/002. 10.1 BERT for Multi-label Classification Part 1.mp455.19MB
  • Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/003. 10.2 BERT for Multi-label Classification Part 2.mp4125.25MB
  • Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/004. 10.3 Writing LaTeX with GPT-2.mp489.99MB
  • Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/005. 10.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses Sawye.mp4100.07MB
  • Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/006. 10.5 Instruction Alignment of LLMs Supervised Fine-Tuning.mp4172.22MB
  • Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/007. 10.6 Instruction Alignment of LLMs Reward Modeling.mp4143.83MB
  • Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/008. 10.7 Instruction Alignment of LLMs RLHF.mp4164.15MB
  • Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/009. 10.8 Instruction Alignment of LLMs Using Our Instruction-Aligned LLM.mp4118.99MB
  • Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/001. Topics.mp44.03MB
  • Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/002. 11.1 Cost Projecting and Deploying LLMs to Production.mp439.86MB
  • Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/003. 11.2 Knowledge Distillation.mp4107.93MB
  • Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/001. Topics.mp44.19MB
  • Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/002. 12.1 Evaluating Generative Tasks Part 1.mp471.52MB
  • Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/003. 12.2 Evaluating Generative Tasks Part 2.mp4107.56MB
  • Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/004. 12.3 Evaluating Understanding Tasks.mp4100.8MB
  • Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/005. 12.4 Probing LLMs for world model.mp448.76MB
  • Summary/001. Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs) Summary.mp427.04MB



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