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[ WebToolTip com ] Udemy - AI Foundations For Decision Makers - From Zero To LLMs
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Name:[ WebToolTip com ] Udemy - AI Foundations For Decision Makers - From Zero To LLMs
Infohash: CAE7B6F089BE1A9DF576C9D415BDBC8AE293DF22
Total Size: 2.55 GB
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Last Updated: 2026-01-19 16:33:14 (Update Now)
Torrent added: 2025-04-04 16:30:19
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1 - Introduction
1 - Introduction.mp4
2 - Who is this course for.mp4
3 - Course Outline.mp4
2 - Fundamentals of Machine Learning and AI Introduction to AI and Machine Learning
10 - Datasets Data as the foundation Features Labels and Datasets.mp4
11 - Training vs Inference How do AI models learn and make predictions.mp4
12 - Common challenges Overfitting.mp4
13 - Common challenges Bias.mp4
14 - Common challenges Generalization.mp4
15 - Key AIML Topics Feature Engineering.mp4
16 - Google dataset search.txt
16 - Internet archive.txt
16 - Kaggle.txt
16 - Key AIML Topics Key Data Sources.mp4
16 - Open Data on AWS.txt
16 - OpenDataMonitor.txt
16 - Quandl.txt
16 - UC Irvine Machine Learning Repository.txt
17 - Key AIML Topics Model Selection Different types of ML Models.mp4
18 - Key AIML Topics Model Selection How to select a suitable model.mp4
19 - Key AIML Topics Model Evaluation Validation and CrossValidation.mp4
20 - A-REVIEW-ON-EVALUATION-METRICS-FOR-DATA-CLASSIFICATION-EVALUATIONS.pdf
20 - Key AIML Topics Evaluating Model Performance.mp4
20 - Model-Evaluation-Model-Selection-and-Algorithm-Selection-in-Machine-Learning.pdf
20 - The-Relationship-Between-Precision-Recall-and-ROC-Curves.pdf
21 - Key AIML Topics Hyperparameters.mp4
22 - Dropout-A-Simple-Way-to-Prevent-Neural-Networks-from-Overfitting.pdf
22 - Key AIML Topics Model Regularization.mp4
23 - Awesome Deep Learning Related Survey Papers.txt
23 - Deep Learning and Artificial Neural Networks What are Artificial Neural Network.mp4
24 - Forward Propagation Backpropagation Gradient Descent.mp4
25 - A-survey-on-modern-trainable-activation-functions.pdf
25 - Activation Functions.mp4
25 - Activation-Functions-in-Deep-Learning-A-Comprehensive-Survey-and-Benchmark.pdf
26 - A-Survey-of-Optimization-Methods-from-a-Machine-Learning-Perspective.pdf
26 - Optimization Algorithms.mp4
27 - Intro to NLP Text Processing in NLP.mp4
28 - Applications of NLP.mp4
29 - Core NLP Tasks.mp4
30 - NLP Approaches.mp4
31 - Traditional Language Models.mp4
32 - Challenges in NLP.mp4
33 - A-Neural-Probabilistic-Language-Model.pdf
33 - A-STATISTICAL-APPROACH-TO-MACHINE-TRANSLATION.pdf
33 - Perplexity.mp4
34 - EncodingDecoding Architecture.mp4
4 - What is AI.mp4
5 - Ebook-SamGhosh-AI-Foundations-for-Decision-Makers.pdf
5 - Narrow AI vs Broad AI.mp4
6 - How does ML differ from traditional software.mp4
7 - Must Read Papers for Data Science ML and DL.txt
7 - Types of Machine Learning.mp4
8 - Features Data as the foundation Features Labels and Datasets.mp4
9 - Labels Data as the foundation Features Labels and Datasets.mp4
3 - Fundamentals of Large Language Models
35 - Review.mp4
36 - What is Attention.mp4
37 - Understanding Transformers The shift from RNNs CNNs to Transformers.mp4
38 - Attention Is All You Need How selfattention enables LLMs.mp4
38 - attentionisall.pdf
39 - SelfAttention and CrossAttention.mp4
40 - Scaling Laws.mp4
40 - Scaling-Laws-for-Neural-Language-Models.pdf
40 - Training-Compute-Optimal-Large-Language-Models.pdf
41 - How LLMs learn and adapt.mp4
41 - Large-Language-Models-A-Survey.pdf
42 - Types of Pretraining.mp4
43 - Selfsupervised Learning.mp4
44 - LLM Model Architectures.mp4
45 - Model Size and Capabilities.mp4
46 - Finetuning Fundamentals.mp4
46 - Instruction-Tuning-with-GPT-4.pdf
46 - Prefix-Tuning-Optimizing-Continuous-Prompts-for-Generation.pdf
47 - Adapters-A-Unified-Library-for-Parameter-Efficient-and-Modular-Transfer-Learning.pdf
47 - LoRA-Low-Rank-Adaptation-of-Large-Language-Models.pdf
47 - ParameterEfficient FineTuning PEFT.mp4
47 - QLoRA-Efficient-Finetuning-of-Quantized-LLMs.pdf
48 - PostTraining Fundamentals.mp4
48 - RLAIF-vs.RLHF-Scaling-Reinforcement-Learning-from-Human-Feedback-with-AI-Feedback.pdf
49 - Pre-train-Prompt-and-Predict-A-Systematic-Survey-of-Prompting-Methods-in-Natural-Language-Processing.pdf
49 - Ways to interact with LLMs.mp4
50 - Zeroshot Prompting.mp4
51 - Chain-of-Thought-Prompting-Elicits-Reasoning-in-Large-Language-Models.pdf
51 - ChainofThought CoT Reasoning.mp4
52 - Zeroshot ChainofThought CoT.mp4
53 - Fewshot Prompting.mp4
53 - Language-Models-are-Few-Shot-Learners.pdf
54 - Fewshot Prompting CoT.mp4
55 - DemonstrateSearchPredict.mp4
56 - Interleaved Retrieval guided by ChainofThought IRCoT.mp4
57 - SelfConsistency and Tree of Thoughts ToT.mp4
58 - Retrieval-Augmented-Generation-for-Knowledge-Intensive-NLP-Tasks.pdf
58 - Retrieval-Augmented-Generation-for-Large-Language-Models-A-Survey.pdf
58 - RetrievalAugmented Generation RAG.mp4
59 - AI Agents Autonomous Reasoning.mp4
60 - OpenSource vs Proprietary LLMs.mp4
61 - GPT Series OpenAI.mp4
62 - BERT RoBERTa Google Meta.mp4
63 - T5 UL2 Google.mp4
64 - Claude Anthropic.mp4
65 - LLaMA Meta.mp4
66 - Mistral Mixtral.mp4
67 - Gemini Google DeepMind.mp4
68 - DeepSeek r1.mp4
69 - Grok xAI.mp4
70 - Command R Cohere Other Enterprise LLMs.mp4
71 - Key Selection Factors for LLMs.mp4
72 - BIGBenchHard.txt
72 - BIGbench.txt
72 - GLUE.txt
72 - GSM8K.txt
72 - HumanEval.txt
72 - LLM Performance Benchmarks.mp4
72 - MATH.txt
72 - MMLU.txt
72 - SQuAD V2.txt
72 - SQuAD.txt
72 - superGLUE.txt
73 - AGIEval.txt
73 - Chatbot Arena.txt
73 - Codebench.txt
73 - HELM.txt
73 - LLM Leaderboards.mp4
73 - MTBench.txt
73 - Open LLM Leaderboard.txt
73 - TruthfulQA.txt
74 - Accenture AI.txt
74 - AiTuning.txt
74 - IntelligentMind.txt
74 - LLM Deployment Strategies.mp4
74 - Vaidik.txt
75 - A-Comprehensive-Analysis-of-Memorization-in-Large-Language-Models.pdf
75 - A-Review-of-Current-Trends-Techniques-and-Challenges-in-Large-Language-Models-LLMs.pdf
75 - A-Survey-on-Hallucination-in-Large-Language-Models-Principles-Taxonomy-Challenges-and-Open-Questions.pdf
75 - Demystifying-Verbatim-Memorization-in-Large-Language-Models.pdf
75 - Large-Language-Models-A-Comprehensive-Survey-of-its-Applications-Challenges-Limitations-and-Future-Prospects.pdf
75 - Technical Challenges in LLMs.mp4
4 - Understanding the Agent Economy
76 - Review.mp4
77 - What are AI Agents.mp4
78 - Traditional Automation to Autonomous Agents.mp4
79 - Why do Agents Matter in the AIDriven Future.mp4
80 - AutoGPT.txt
80 - CodeAgent.pdf
80 - LangChain.txt
80 - Major Examples of AI Agents.mp4
80 - MusicLM-Generating-Music-From-Text.pdf
80 - OpenDevin.txt
80 - The AI Scientist.txt
80 - Voyager.txt
80 - microsoftUFO.txt
81 - The-AI-Scientist-Towards-Fully-Automated-Open-Ended-Scientific-Discovery.pdf
81 - Types of AI Agents.mp4
82 - How do AI Agents Work.mp4
83 - AutoGen.txt
83 - The Agent Economy.mp4
84 - A-Taxonomy-of-AgentOps-for-Enabling-Observability-of-Foundation-Model-based-Agents.pdf
84 - AIOS-LLM-Agent-Operating-System.pdf
84 - AgentOps.mp4
85 - Use Cases of AI Agents.mp4
86 - Ethical and Practical Challenges of AI Agents.mp4
87 - The Convergence of LLMs MultiModal AI and Automation.mp4
88 - Thanks.mp4
Bonus Resources.txt
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