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

File Name
Size
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.mp4
224 MB
Module 1 Introduction to Large Language Models/001. Module Introduction.mp4
22 MB
Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/001. Topics.mp4
6.0 MB
Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/002. 1.1 What Are Large Language Models.mp4
121 MB
Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.mp4
98 MB
Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/004. 1.3 Applications of LLMs.mp4
16 MB
Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/001. Topics.mp4
4.3 MB
Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.mp4
64 MB
Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.mp4
149 MB
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.mp4
161 MB
Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/001. Topics.mp4
5.3 MB
Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.mp4
122 MB
Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.mp4
22 MB
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.mp4
171 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/001. Topics.mp4
4.6 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/002. 4.1 Introduction to Retrival Augmented Generation (RAG).mp4
54 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/003. 4.2 Building a RAG bot.mp4
113 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/004. 4.3 Using Open Source Models with RAG.mp4
104 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/005. 4.4 Expanding into AI Agents.mp4
117 MB
Module 2 Getting the Most Out of LLMs/001. Module Introduction.mp4
20 MB
Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/001. Topics.mp4
5.2 MB
Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/002. 5.1 Transfer Learning A Primer.mp4
26 MB
Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/003. 5.2 The OpenAI Fine-Tuning API.mp4
30 MB
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.mp4
37 MB
Introduction/001. Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs) Introduction.mp4
22 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/001. Topics.mp4
3.3 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/002. 6.1 InputOutput Validation.mp4
46 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/003. 6.2 Batch Prompting + Prompt Chaining.mp4
40 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/004. 6.3 Chain-of-Thought Prompting.mp4
60 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/005. 6.4 Preventing Prompt Injection Attacks.mp4
22 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/006. 6.5 Assessing an LLM s Encoded Knowledge Level.mp4
28 MB
Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/001. Topics.mp4
5.0 MB
Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/002. 7.1 Case Study Building an Anime Recommendation System.mp4
54 MB
Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/003. 7.2 Using OpenAI s Embedded Models.mp4
121 MB
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.mp4
152 MB
Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/001. Topics.mp4
5.6 MB
Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/002. 8.1 Introduction to AI Alignment.mp4
72 MB
Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/003. 8.2 Evaluating Alignment Plus Ethics.mp4
92 MB
Module 3 Advanced LLM Usage/001. Module Introduction.mp4
28 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/001. Topics.mp4
5.7 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/002. 9.1 The Vision Transformer.mp4
13 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/003. 9.2 Using Cross Attention to Mix Data Modalities.mp4
18 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/004. 9.3 Case Study Visual QA Setting Up Our Model.mp4
113 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/005. 9.4 Case Study Visual QA Setting Up Our Parameters and Data.mp4
105 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/006. 9.5 Introduction to Reinforcement Learning from Feedback.mp4
58 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/007. 9.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.mp4
130 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/001. Topics.mp4
5.8 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/002. 10.1 BERT for Multi-label Classification Part 1.mp4
55 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/003. 10.2 BERT for Multi-label Classification Part 2.mp4
125 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/004. 10.3 Writing LaTeX with GPT-2.mp4
90 MB
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.mp4
100 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/006. 10.5 Instruction Alignment of LLMs Supervised Fine-Tuning.mp4
172 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/007. 10.6 Instruction Alignment of LLMs Reward Modeling.mp4
144 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/008. 10.7 Instruction Alignment of LLMs RLHF.mp4
164 MB
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.mp4
119 MB
Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/001. Topics.mp4
4.0 MB
Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/002. 11.1 Cost Projecting and Deploying LLMs to Production.mp4
40 MB
Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/003. 11.2 Knowledge Distillation.mp4
108 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/001. Topics.mp4
4.2 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/002. 12.1 Evaluating Generative Tasks Part 1.mp4
72 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/003. 12.2 Evaluating Generative Tasks Part 2.mp4
108 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/004. 12.3 Evaluating Understanding Tasks.mp4
101 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/005. 12.4 Probing LLMs for world model.mp4
49 MB
Summary/001. Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs) Summary.mp4
27 MB
z.quick-start-guide-to-llms-main/.gitattributes
42 B
z.quick-start-guide-to-llms-main/.gitignore
285 B
z.quick-start-guide-to-llms-main/README.md
7.3 kB
z.quick-start-guide-to-llms-main/requirements.txt
89 B
z.quick-start-guide-to-llms-main/data/chip2.csv
133 B
z.quick-start-guide-to-llms-main/data/comparison_data_v2.json
78 MB
z.quick-start-guide-to-llms-main/data/english_to_latex.csv
129 B
z.quick-start-guide-to-llms-main/data/latex-guide-cos423.txt
16 kB
z.quick-start-guide-to-llms-main/data/pds2.pdf
16 MB
z.quick-start-guide-to-llms-main/data/pre_merged_anime.csv
132 B
z.quick-start-guide-to-llms-main/data/anime/pre_merged_anime.csv
132 B
z.quick-start-guide-to-llms-main/data/anime/rating_complete.csv
134 B
z.quick-start-guide-to-llms-main/data/anime/watching_status.csv
127 B
z.quick-start-guide-to-llms-main/images/gpt3_paper.png
30 kB
z.quick-start-guide-to-llms-main/images/qsllm.jpeg
64 kB
z.quick-start-guide-to-llms-main/images/qsllm2e.jpg
120 kB
z.quick-start-guide-to-llms-main/notebooks/02_semantic_search.ipynb
438 kB
z.quick-start-guide-to-llms-main/notebooks/03_prompt_engineering.ipynb
36 kB
z.quick-start-guide-to-llms-main/notebooks/04_agent.ipynb
1.4 MB
z.quick-start-guide-to-llms-main/notebooks/04_rag_retrieval.ipynb
26 kB
z.quick-start-guide-to-llms-main/notebooks/05_bert_app_review.ipynb
101 kB
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/06_adv_prompt_engineering - DEEPSEEK.ipynb
510 kB
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/09_constructing_a_vqa_system.ipynb
326 kB
z.quick-start-guide-to-llms-main/notebooks/09_flan_t5_rl.ipynb
431 kB
z.quick-start-guide-to-llms-main/notebooks/09_using_our_vqa.ipynb
3.5 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_latex_gpt2.ipynb
65 kB
z.quick-start-guide-to-llms-main/notebooks/10_optimizing_fine_tuning.ipynb
314 kB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_LLAMA_SFT.ipynb
617 kB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_Reward_Model.ipynb
232 kB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_RLF.ipynb
756 kB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_USE_SAWYER.ipynb
1.4 MB
z.quick-start-guide-to-llms-main/notebooks/11_distillation_example_1.ipynb
310 kB
z.quick-start-guide-to-llms-main/notebooks/11_distillation_example_2.ipynb
475 kB
z.quick-start-guide-to-llms-main/notebooks/11_llama_quantization.ipynb
438 kB
z.quick-start-guide-to-llms-main/notebooks/12_cluster.ipynb
437 kB
z.quick-start-guide-to-llms-main/notebooks/12_llm_calibration.ipynb
661 kB
z.quick-start-guide-to-llms-main/notebooks/12_llm_gen_eval.ipynb
999 kB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/.env
121 B
z.quick-start-guide-to-llms-main/semantic-search-fastapi/api.py
5.4 kB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/chunking_utils.py
2.0 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/Dockerfile
214 B
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/requirements.txt
151 B
z.quick-start-guide-to-llms-main/semantic-search-fastapi/retrieval_utils.py
947 B