Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)

Creation Time	Nov. 18, 2024, 6:19 p.m.
Last Access Time	Aug. 2, 2025, 8:03 a.m.
File Size	2.8 GB
Keywords	and Embeddings Language Models LLMs Large to Other Quick ChatGPT Guide
Total Requests	611
Total Files	150
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/005. 4.4 Case Study Predicting with Amazon Reviews Part 2.mp4 167.4 MB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.mp4 144.0 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/007. 7.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.mp4 127.6 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/003. 8.2 BERT for Multi-label Classification Part 2.mp4 126.5 MB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.mp4 121.8 MB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/002. 1.1 What Are Language Models.mp4 121.2 MB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/004. 6.3 Fine-Tuning an Embedding Model to Capture User Behavior.mp4 114.7 MB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.mp4 113.5 MB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.mp4 109.0 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/004. 7.3 Case Study Visual QA Setting Up Our Model.mp4 108.6 MB
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/003. 9.2 Knowledge Distillation.mp4 108.4 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/005. 7.4 Case Study Visual QA Setting Up Our Parameters and Data.mp4 103.3 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/007. 8.6 Instruction Alignment of LLMs Reward Modeling.mp4 99.8 MB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.mp4 97.6 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/004. 8.3 Writing LaTeX with GPT-2.mp4 90.9 MB
z.quick-start-guide-to-llms-main/data/comparison_data_v2.json 77.7 MB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/003. 6.2 Using OpenAI s Embedding Models.mp4 71.3 MB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.mp4 64.6 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/008. 8.7 Instruction Alignment of LLMs RLHF.mp4 62.8 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/009. 8.8 Instruction Alignment of LLMs Using Our Instruction Aligned LLM.mp4 57.9 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/006. 7.5 Introduction to Reinforcement Learning from Feedback.mp4 56.4 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/002. 8.1 BERT for Multi-label Classification Part 1.mp4 55.6 MB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/002. 6.1 Case Study Building an Anime Recommendation System.mp4 53.8 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/004. 5.3 Chain-of-Thought Prompting.mp4 48.3 MB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/004. 4.3 Case Study Predicting with Amazon Reviews Part 1.mp4 46.4 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/002. 5.1 InputOutput Validation.mp4 46.4 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/006. 8.5 Instruction Alignment of LLMs Supervised Fine-Tuning.mp4 41.5 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/003. 5.2 Batch Prompting + Prompt Chaining.mp4 40.2 MB
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/002. 9.1 Cost Projecting and Deploying LLMs to Production.mp4 40.1 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/005. 8.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses SAWYER.mp4 31.4 MB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/003. 4.2 The OpenAI Fine-Tuning API.mp4 29.8 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/006. 5.5 Assessing an LLM's Encoded Knowledge Level.mp4 27.9 MB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/002. 4.1 Transfer Learning A Primer.mp4 26.3 MB
Summary/001. Quick Guide to Large Language Models Summary.mp4 24.2 MB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.mp4 22.5 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/005. 5.4 Preventing Prompt Injection Attacks.mp4 21.6 MB
Introduction/001. Quick Guide to Large Language Models Introduction.mp4 21.4 MB
Module 3 Advanced LLM Usage/001. Module Introduction.mp4 19.7 MB
Module 1 Introduction to Large Language Models/001. Module Introduction.mp4 18.3 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/003. 7.2 Using Cross Attention to Mix Data Modalities.mp4 17.4 MB
Module 2 Getting the Most Out of LLMs/001. Module Introduction.mp4 16.8 MB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/004. 1.3 Applications of LLMs.mp4 16.2 MB
z.quick-start-guide-to-llms-main/data/pds2.pdf 16.0 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/002. 7.1 The Vision Transformer.mp4 12.9 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/001. Topics.mp4 5.9 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/001. Topics.mp4 5.9 MB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/001. Topics.mp4 5.8 MB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/001. Topics.mp4 5.8 MB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/001. Topics.mp4 5.7 MB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/001. Topics.mp4 5.4 MB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/001. Topics.mp4 4.5 MB
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/001. Topics.mp4 4.5 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/001. Topics.mp4 3.7 MB
z.quick-start-guide-to-llms-main/notebooks/09_using_our_vqa.ipynb 3.5 MB
z.quick-start-guide-to-llms-main/notebooks/05_openai_app_review_fine_tuning.ipynb 2.0 MB
z.quick-start-guide-to-llms-main/notebooks/10_anime_category_classification_model_freezing.ipynb 1.6 MB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_USE_SAWYER.ipynb 1.4 MB
z.quick-start-guide-to-llms-main/notebooks/04_agent.ipynb 1.4 MB
z.quick-start-guide-to-llms-main/notebooks/06_adv_prompt_engineering.ipynb 1.1 MB
z.quick-start-guide-to-llms-main/notebooks/07_recommendation_engine.ipynb 1.1 MB
z.quick-start-guide-to-llms-main/notebooks/12_llm_gen_eval.ipynb 999.1 KB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_RLF.ipynb 756.4 KB
z.quick-start-guide-to-llms-main/notebooks/12_llm_calibration.ipynb 661.4 KB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_LLAMA_SFT.ipynb 616.6 KB
z.quick-start-guide-to-llms-main/notebooks/11_distillation_example_2.ipynb 475.1 KB
z.quick-start-guide-to-llms-main/notebooks/11_llama_quantization.ipynb 438.3 KB
z.quick-start-guide-to-llms-main/notebooks/02_semantic_search.ipynb 438.0 KB
z.quick-start-guide-to-llms-main/notebooks/12_cluster.ipynb 436.6 KB
z.quick-start-guide-to-llms-main/notebooks/09_flan_t5_rl.ipynb 430.6 KB
z.quick-start-guide-to-llms-main/notebooks/09_constructing_a_vqa_system.ipynb 326.3 KB
z.quick-start-guide-to-llms-main/notebooks/10_optimizing_fine_tuning.ipynb 313.9 KB
z.quick-start-guide-to-llms-main/notebooks/11_distillation_example_1.ipynb 310.1 KB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_Reward_Model.ipynb 232.2 KB
z.quick-start-guide-to-llms-main/images/qsllm2e.jpg 119.8 KB
z.quick-start-guide-to-llms-main/notebooks/05_bert_app_review.ipynb 101.1 KB
z.quick-start-guide-to-llms-main/notebooks/10_latex_gpt2.ipynb 65.2 KB
z.quick-start-guide-to-llms-main/images/qsllm.jpeg 63.7 KB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.en.srt 46.8 KB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/005. 4.4 Case Study Predicting with Amazon Reviews Part 2.en.srt 45.2 KB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/003. 8.2 BERT for Multi-label Classification Part 2.en.srt 40.7 KB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.en.srt 38.5 KB
z.quick-start-guide-to-llms-main/notebooks/03_prompt_engineering.ipynb 35.8 KB
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/003. 9.2 Knowledge Distillation.en.srt 33.7 KB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/002. 1.1 What Are Language Models.en.srt 33.5 KB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.en.srt 32.3 KB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/004. 7.3 Case Study Visual QA Setting Up Our Model.en.srt 31.7 KB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/007. 7.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.en.srt 31.1 KB
z.quick-start-guide-to-llms-main/images/gpt3_paper.png 30.4 KB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/004. 8.3 Writing LaTeX with GPT-2.en.srt 30.4 KB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.en.srt 30.1 KB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.en.srt 28.7 KB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/004. 6.3 Fine-Tuning an Embedding Model to Capture User Behavior.en.srt 28.1 KB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/005. 7.4 Case Study Visual QA Setting Up Our Parameters and Data.en.srt 26.9 KB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/007. 8.6 Instruction Alignment of LLMs Reward Modeling.en.srt 26.3 KB
z.quick-start-guide-to-llms-main/notebooks/04_rag_retrieval.ipynb 25.8 KB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.en.srt 22.8 KB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/002. 8.1 BERT for Multi-label Classification Part 1.en.srt 20.2 KB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/008. 8.7 Instruction Alignment of LLMs RLHF.en.srt 19.0 KB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/006. 7.5 Introduction to Reinforcement Learning from Feedback.en.srt 18.1 KB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/003. 6.2 Using OpenAI s Embedding Models.en.srt 16.8 KB
z.quick-start-guide-to-llms-main/data/latex-guide-cos423.txt 16.3 KB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/009. 8.8 Instruction Alignment of LLMs Using Our Instruction Aligned LLM.en.srt 16.3 KB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/004. 4.3 Case Study Predicting with Amazon Reviews Part 1.en.srt 15.4 KB
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/002. 9.1 Cost Projecting and Deploying LLMs to Production.en.srt 15.0 KB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/004. 5.3 Chain-of-Thought Prompting.en.srt 14.4 KB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/002. 5.1 InputOutput Validation.en.srt 14.2 KB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/006. 8.5 Instruction Alignment of LLMs Supervised Fine-Tuning.en.srt 14.0 KB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/002. 6.1 Case Study Building an Anime Recommendation System.en.srt 13.2 KB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/005. 8.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses SAWYER.en.srt 12.5 KB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/003. 5.2 Batch Prompting + Prompt Chaining.en.srt 11.6 KB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/002. 4.1 Transfer Learning A Primer.en.srt 9.7 KB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/003. 4.2 The OpenAI Fine-Tuning API.en.srt 9.0 KB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/005. 5.4 Preventing Prompt Injection Attacks.en.srt 7.6 KB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/006. 5.5 Assessing an LLM's Encoded Knowledge Level.en.srt 7.6 KB
z.quick-start-guide-to-llms-main/README.md 7.1 KB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.en.srt 6.8 KB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/conversation_utils.py 5.6 KB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/api.py 5.4 KB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/004. 1.3 Applications of LLMs.en.srt 5.0 KB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/003. 7.2 Using Cross Attention to Mix Data Modalities.en.srt 4.8 KB
Module 3 Advanced LLM Usage/001. Module Introduction.en.srt 4.6 KB
Summary/001. Quick Guide to Large Language Models Summary.en.srt 4.5 KB
Module 1 Introduction to Large Language Models/001. Module Introduction.en.srt 4.1 KB
Introduction/001. Quick Guide to Large Language Models Introduction.en.srt 4.0 KB
Module 2 Getting the Most Out of LLMs/001. Module Introduction.en.srt 3.4 KB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/002. 7.1 The Vision Transformer.en.srt 3.4 KB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/README.md 3.3 KB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/chunking_utils.py 2.0 KB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/001. Topics.en.srt 1.1 KB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/001. Topics.en.srt 1.0 KB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/001. Topics.en.srt 1.0 KB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/001. Topics.en.srt 1010 bytes
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/001. Topics.en.srt 1005 bytes
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/001. Topics.en.srt 1001 bytes
z.quick-start-guide-to-llms-main/semantic-search-fastapi/retrieval_utils.py 947 bytes
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/001. Topics.en.srt 906 bytes
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/001. Topics.en.srt 811 bytes
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/001. Topics.en.srt 593 bytes
z.quick-start-guide-to-llms-main/.gitignore 285 bytes
z.quick-start-guide-to-llms-main/semantic-search-fastapi/Dockerfile 214 bytes
z.quick-start-guide-to-llms-main/semantic-search-fastapi/requirements.txt 151 bytes
z.quick-start-guide-to-llms-main/data/anime/rating_complete.csv 134 bytes
z.quick-start-guide-to-llms-main/data/chip2.csv 133 bytes
z.quick-start-guide-to-llms-main/data/pre_merged_anime.csv 132 bytes
z.quick-start-guide-to-llms-main/data/anime/pre_merged_anime.csv 132 bytes
z.quick-start-guide-to-llms-main/data/english_to_latex.csv 129 bytes
z.quick-start-guide-to-llms-main/data/anime/watching_status.csv 127 bytes
z.quick-start-guide-to-llms-main/semantic-search-fastapi/.env 121 bytes
z.quick-start-guide-to-llms-main/requirements.txt 89 bytes
z.quick-start-guide-to-llms-main/.gitattributes 42 bytes

Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)

File List

Download Torrent

Related Resources

Copyright Infringement