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

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

Name	Quick Start Guide to Large Language Models (LLMs) ChatGPT, Llama, Embeddings, Fine-Tuning, and Multimodal AI	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	4.7 GB
Total Files	113
Last Seen	2025-07-19 00:03
Hash	D9670E80CEFA46D67CE6FD99AF2CEC8109FA2E22

/.../Lesson 05 Optimizing LLMs with Fine-Tuning/
005. 5.4 Case Study Predicting with Android App Reviews Part 2.mp4	235.2 MB
001. Topics.mp4	5.4 MB
002. 5.1 Transfer Learning A Primer.mp4	27.4 MB
003. 5.2 The OpenAI Fine-Tuning API.mp4	31.2 MB
004. 5.3 Case Study Predicting with Android App Reviews Part 1.mp4	39.2 MB
/Module 1 Introduction to Large Language Models/
001. Module Introduction.mp4	23.0 MB
/.../Lesson 01 Overview of Large Language Models/
001. Topics.mp4	6.3 MB
002. 1.1 What Are Large Language Models.mp4	126.7 MB
003. 1.2 Popular Modern LLMs.mp4	102.6 MB
004. 1.3 Applications of LLMs.mp4	17.0 MB
/.../Lesson 02 Semantic Search with LLMs/
001. Topics.mp4	4.5 MB
002. 2.1 Introduction to Semantic Search.mp4	67.3 MB
003. 2.2 Building a Semantic Search System.mp4	155.8 MB
004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.mp4	168.8 MB
/.../Lesson 03 First Steps with Prompt Engineering/
001. Topics.mp4	5.5 MB
002. 3.1 Introduction to Prompt Engineering.mp4	127.8 MB
003. 3.2 Working with Prompts Across Models.mp4	23.5 MB
004. 3.3 Building a Retrieval-Augmented Generation BOT with ChatGPT and GPT-4.mp4	179.1 MB
/.../Lesson 04 Retrieval Augmented Generation + AI Agents/
001. Topics.mp4	4.9 MB
002. 4.1 Introduction to Retrival Augmented Generation (RAG).mp4	56.8 MB
003. 4.2 Building a RAG bot.mp4	118.8 MB
004. 4.3 Using Open Source Models with RAG.mp4	108.6 MB
005. 4.4 Expanding into AI Agents.mp4	122.3 MB
/Module 2 Getting the Most Out of LLMs/
001. Module Introduction.mp4	20.6 MB
/Introduction/
001. Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs) Introduction.mp4	23.6 MB
/.../Lesson 06 Advanced Prompt Engineering/
001. Topics.mp4	3.5 MB
002. 6.1 InputOutput Validation.mp4	48.3 MB
003. 6.2 Batch Prompting + Prompt Chaining.mp4	42.0 MB
004. 6.3 Chain-of-Thought Prompting.mp4	63.0 MB
005. 6.4 Preventing Prompt Injection Attacks.mp4	22.6 MB
006. 6.5 Assessing an LLM s Encoded Knowledge Level.mp4	29.3 MB
/.../Lesson 07 Customizing Embeddings + Model Architectures/
001. Topics.mp4	5.2 MB
002. 7.1 Case Study Building an Anime Recommendation System.mp4	56.5 MB
003. 7.2 Using OpenAI s Embedded Models.mp4	126.4 MB
004. 7.3 Fine-tuning an Embedding Model to Capture User Behavior.mp4	159.5 MB
/.../Lesson 08 AI Alignment--First Principles/
001. Topics.mp4	5.8 MB
002. 8.1 Introduction to AI Alignment.mp4	75.5 MB
003. 8.2 Evaluating Alignment Plus Ethics.mp4	96.0 MB
/Module 3 Advanced LLM Usage/
001. Module Introduction.mp4	28.8 MB
/.../Lesson 09 Moving Beyond Foundation Models/
001. Topics.mp4	6.0 MB
002. 9.1 The Vision Transformer.mp4	13.9 MB
003. 9.2 Using Cross Attention to Mix Data Modalities.mp4	18.6 MB
004. 9.3 Case Study Visual QA Setting Up Our Model.mp4	118.4 MB
005. 9.4 Case Study Visual QA Setting Up Our Parameters and Data.mp4	110.5 MB
006. 9.5 Introduction to Reinforcement Learning from Feedback.mp4	61.4 MB
007. 9.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.mp4	136.4 MB
/.../Lesson 10 Advanced Open-Source LLM Fine-Tuning/
001. Topics.mp4	6.0 MB
002. 10.1 BERT for Multi-label Classification Part 1.mp4	57.9 MB
003. 10.2 BERT for Multi-label Classification Part 2.mp4	131.3 MB
004. 10.3 Writing LaTeX with GPT-2.mp4	94.4 MB
005. 10.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses Sawye.mp4	104.9 MB
006. 10.5 Instruction Alignment of LLMs Supervised Fine-Tuning.mp4	180.6 MB
007. 10.6 Instruction Alignment of LLMs Reward Modeling.mp4	150.8 MB
008. 10.7 Instruction Alignment of LLMs RLHF.mp4	172.1 MB
009. 10.8 Instruction Alignment of LLMs Using Our Instruction-Aligned LLM.mp4	124.8 MB
/.../Lesson 11 Moving LLMs into Production/
001. Topics.mp4	4.2 MB
002. 11.1 Cost Projecting and Deploying LLMs to Production.mp4	41.8 MB
003. 11.2 Knowledge Distillation.mp4	113.2 MB
/.../Lesson 12 LLM Evaluations/
001. Topics.mp4	4.4 MB
002. 12.1 Evaluating Generative Tasks Part 1.mp4	75.0 MB
003. 12.2 Evaluating Generative Tasks Part 2.mp4	112.8 MB
004. 12.3 Evaluating Understanding Tasks.mp4	105.7 MB
005. 12.4 Probing LLMs for world model.mp4	51.1 MB
/Summary/
001. Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs) Summary.mp4	28.4 MB
/z.quick-start-guide-to-llms-main/
.gitattributes	0.0 KB
.gitignore	0.3 KB
README.md	7.5 KB
requirements.txt	0.1 KB
/data/
chip2.csv	0.1 KB
comparison_data_v2.json	81.5 MB
english_to_latex.csv	0.1 KB
latex-guide-cos423.txt	16.7 KB
pds2.pdf	16.7 MB
pre_merged_anime.csv	0.1 KB
/data/anime/
pre_merged_anime.csv	0.1 KB
rating_complete.csv	0.1 KB
watching_status.csv	0.1 KB
/images/
gpt3_paper.png	31.2 KB
qsllm.jpeg	65.2 KB
qsllm2e.jpg	122.7 KB
/notebooks/
02_semantic_search.ipynb	448.5 KB
03_prompt_engineering.ipynb	36.6 KB
04_agent.ipynb	1.4 MB
04_rag_retrieval.ipynb	26.4 KB
05_bert_app_review.ipynb	103.6 KB
05_openai_app_review_fine_tuning.ipynb	2.1 MB
06_adv_prompt_engineering - DEEPSEEK.ipynb	522.3 KB
06_adv_prompt_engineering.ipynb	1.1 MB
07_recommendation_engine.ipynb	1.1 MB
09_constructing_a_vqa_system.ipynb	334.1 KB
09_flan_t5_rl.ipynb	440.9 KB
09_using_our_vqa.ipynb	3.7 MB
10_anime_category_classification_model_freezing.ipynb	1.6 MB
10_latex_gpt2.ipynb	66.8 KB
10_optimizing_fine_tuning.ipynb	321.4 KB
10_SAWYER_LLAMA_SFT.ipynb	631.4 KB
10_SAWYER_Reward_Model.ipynb	237.8 KB
10_SAWYER_RLF.ipynb	774.6 KB
10_SAWYER_USE_SAWYER.ipynb	1.5 MB
11_distillation_example_1.ipynb	317.5 KB
11_distillation_example_2.ipynb	486.5 KB
11_llama_quantization.ipynb	448.8 KB
12_cluster.ipynb	447.1 KB
12_llm_calibration.ipynb	677.3 KB
12_llm_gen_eval.ipynb	1.0 MB
/.../semantic-search-fastapi/
.env	0.1 KB
api.py	5.5 KB
chunking_utils.py	2.0 KB
conversation_utils.py	5.7 KB
Dockerfile	0.2 KB
README.md	3.4 KB
requirements.txt	0.2 KB
retrieval_utils.py	0.9 KB
Total files 113