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Udemy AI Foundations For Decision Makers From Zero To LLMs

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Files:

Get Bonus Downloads Here.url 180 bytes
1 - Introduction.mp4 90.9 MB
2 - Who is this course for.mp4 30.4 MB
3 - Course Outline.mp4 90.5 MB
10 - Datasets Data as the foundation Features Labels and Datasets.mp4 18.8 MB
11 - Training vs Inference How do AI models learn and make predictions.mp4 30.4 MB
12 - Common challenges Overfitting.mp4 24.3 MB
13 - Common challenges Bias.mp4 7.4 MB
14 - Common challenges Generalization.mp4 13.4 MB
15 - Key AIML Topics Feature Engineering.mp4 45.4 MB
16 - Google dataset search.txt 42 bytes
16 - Internet archive.txt 20 bytes
16 - Kaggle.txt 31 bytes
16 - Key AIML Topics Key Data Sources.mp4 15.9 MB
16 - Open Data on AWS.txt 109 bytes
16 - OpenDataMonitor.txt 35 bytes
16 - Quandl.txt 38 bytes
16 - UC Irvine Machine Learning Repository.txt 28 bytes
17 - Key AIML Topics Model Selection Different types of ML Models.mp4 31.8 MB
18 - Key AIML Topics Model Selection How to select a suitable model.mp4 20.4 MB
19 - Key AIML Topics Model Evaluation Validation and CrossValidation.mp4 38.4 MB
20 - A-REVIEW-ON-EVALUATION-METRICS-FOR-DATA-CLASSIFICATION-EVALUATIONS.pdf 160.5 KB
20 - Key AIML Topics Evaluating Model Performance.mp4 29.6 MB
20 - Model-Evaluation-Model-Selection-and-Algorithm-Selection-in-Machine-Learning.pdf 1.9 MB
20 - The-Relationship-Between-Precision-Recall-and-ROC-Curves.pdf 138.2 KB
21 - Key AIML Topics Hyperparameters.mp4 24.8 MB
22 - Dropout-A-Simple-Way-to-Prevent-Neural-Networks-from-Overfitting.pdf 2.7 MB
22 - Key AIML Topics Model Regularization.mp4 13.4 MB
23 - Awesome Deep Learning Related Survey Papers.txt 55 bytes
23 - Deep Learning and Artificial Neural Networks What are Artificial Neural Network.mp4 67.2 MB
24 - Forward Propagation Backpropagation Gradient Descent.mp4 79.3 MB
25 - A-survey-on-modern-trainable-activation-functions.pdf 1.0 MB
25 - Activation Functions.mp4 71.4 MB
25 - Activation-Functions-in-Deep-Learning-A-Comprehensive-Survey-and-Benchmark.pdf 836.5 KB
26 - A-Survey-of-Optimization-Methods-from-a-Machine-Learning-Perspective.pdf 564.1 KB
26 - Optimization Algorithms.mp4 68.1 MB
27 - Intro to NLP Text Processing in NLP.mp4 29.4 MB
28 - Applications of NLP.mp4 7.8 MB
29 - Core NLP Tasks.mp4 25.1 MB
30 - NLP Approaches.mp4 22.4 MB
31 - Traditional Language Models.mp4 26.1 MB
32 - Challenges in NLP.mp4 19.4 MB
33 - A-Neural-Probabilistic-Language-Model.pdf 136.8 KB
33 - A-STATISTICAL-APPROACH-TO-MACHINE-TRANSLATION.pdf 658.2 KB
33 - Perplexity.mp4 24.6 MB
34 - EncodingDecoding Architecture.mp4 22.4 MB
4 - What is AI.mp4 65.0 MB
5 - Ebook-SamGhosh-AI-Foundations-for-Decision-Makers.pdf 4.9 MB
5 - Narrow AI vs Broad AI.mp4 21.7 MB
6 - How does ML differ from traditional software.mp4 20.2 MB
7 - Must Read Papers for Data Science ML and DL.txt 50 bytes
7 - Types of Machine Learning.mp4 55.7 MB
8 - Features Data as the foundation Features Labels and Datasets.mp4 19.4 MB
9 - Labels Data as the foundation Features Labels and Datasets.mp4 24.4 MB
35 - Review.mp4 36.8 MB
36 - What is Attention.mp4 18.4 MB
37 - Understanding Transformers The shift from RNNs CNNs to Transformers.mp4 53.1 MB
38 - Attention Is All You Need How selfattention enables LLMs.mp4 65.6 MB
38 - attentionisall.pdf 2.1 MB
39 - SelfAttention and CrossAttention.mp4 59.1 MB
40 - Scaling Laws.mp4 49.0 MB
40 - Scaling-Laws-for-Neural-Language-Models.pdf 2.4 MB
40 - Training-Compute-Optimal-Large-Language-Models.pdf 5.7 MB
41 - How LLMs learn and adapt.mp4 28.5 MB
41 - Large-Language-Models-A-Survey.pdf 4.7 MB
42 - Types of Pretraining.mp4 17.7 MB
43 - Selfsupervised Learning.mp4 43.2 MB
44 - LLM Model Architectures.mp4 80.4 MB
45 - Model Size and Capabilities.mp4 21.4 MB
46 - Finetuning Fundamentals.mp4 12.8 MB
46 - Instruction-Tuning-with-GPT-4.pdf 1.5 MB
46 - Prefix-Tuning-Optimizing-Continuous-Prompts-for-Generation.pdf 1.5 MB
47 - Adapters-A-Unified-Library-for-Parameter-Efficient-and-Modular-Transfer-Learning.pdf 1.4 MB
47 - LoRA-Low-Rank-Adaptation-of-Large-Language-Models.pdf 1.5 MB
47 - ParameterEfficient FineTuning PEFT.mp4 28.5 MB
47 - QLoRA-Efficient-Finetuning-of-Quantized-LLMs.pdf 1.0 MB
48 - PostTraining Fundamentals.mp4 11.4 MB
48 - RLAIF-vs.RLHF-Scaling-Reinforcement-Learning-from-Human-Feedback-with-AI-Feedback.pdf 2.4 MB
49 - Pre-train-Prompt-and-Predict-A-Systematic-Survey-of-Prompting-Methods-in-Natural-Language-Processing.pdf 11.8 MB
49 - Ways to interact with LLMs.mp4 63.2 MB
50 - Zeroshot Prompting.mp4 6.2 MB
51 - Chain-of-Thought-Prompting-Elicits-Reasoning-in-Large-Language-Models.pdf 870.9 KB
51 - ChainofThought CoT Reasoning.mp4 5.6 MB
52 - Zeroshot ChainofThought CoT.mp4 2.6 MB
53 - Fewshot Prompting.mp4 3.8 MB
53 - Language-Models-are-Few-Shot-Learners.pdf 6.5 MB
54 - Fewshot Prompting CoT.mp4 2.8 MB
55 - DemonstrateSearchPredict.mp4 4.4 MB
56 - Interleaved Retrieval guided by ChainofThought IRCoT.mp4 4.0 MB
57 - SelfConsistency and Tree of Thoughts ToT.mp4 23.3 MB
58 - Retrieval-Augmented-Generation-for-Knowledge-Intensive-NLP-Tasks.pdf 864.6 KB
58 - Retrieval-Augmented-Generation-for-Large-Language-Models-A-Survey.pdf 1.6 MB
58 - RetrievalAugmented Generation RAG.mp4 28.9 MB
59 - AI Agents Autonomous Reasoning.mp4 39.9 MB
60 - OpenSource vs Proprietary LLMs.mp4 26.1 MB
61 - GPT Series OpenAI.mp4 18.3 MB
62 - BERT RoBERTa Google Meta.mp4 14.2 MB
63 - T5 UL2 Google.mp4 22.8 MB
64 - Claude Anthropic.mp4 15.7 MB
65 - LLaMA Meta.mp4 11.8 MB
66 - Mistral Mixtral.mp4 13.2 MB
67 - Gemini Google DeepMind.mp4 20.5 MB
68 - DeepSeek r1.mp4 6.9 MB
69 - Grok xAI.mp4 11.7 MB
70 - Command R Cohere Other Enterprise LLMs.mp4 21.9 MB
71 - Key Selection Factors for LLMs.mp4 20.3 MB
72 - BIGBenchHard.txt 45 bytes
72 - BIGbench.txt 35 bytes
72 - GLUE.txt 26 bytes
72 - GSM8K.txt 40 bytes
72 - HumanEval.txt 36 bytes
72 - LLM Performance Benchmarks.mp4 19.2 MB
72 - MATH.txt 45 bytes
72 - MMLU.txt 39 bytes
72 - SQuAD V2.txt 50 bytes
72 - SQuAD.txt 43 bytes
72 - superGLUE.txt 32 bytes
73 - AGIEval.txt 38 bytes
73 - Chatbot Arena.txt 19 bytes
73 - Codebench.txt 32 bytes
73 - HELM.txt 31 bytes
73 - LLM Leaderboards.mp4 20.0 MB
73 - MTBench.txt 44 bytes
73 - Open LLM Leaderboard.txt 73 bytes
73 - TruthfulQA.txt 37 bytes
74 - Accenture AI.txt 48 bytes
74 - AiTuning.txt 24 bytes
74 - IntelligentMind.txt 27 bytes
74 - LLM Deployment Strategies.mp4 35.6 MB
74 - Vaidik.txt 18 bytes
75 - A-Comprehensive-Analysis-of-Memorization-in-Large-Language-Models.pdf 1.3 MB
75 - A-Review-of-Current-Trends-Techniques-and-Challenges-in-Large-Language-Models-LLMs.pdf 533.4 KB
75 - A-Survey-on-Hallucination-in-Large-Language-Models-Principles-Taxonomy-Challenges-and-Open-Questions.pdf 1.5 MB
75 - Demystifying-Verbatim-Memorization-in-Large-Language-Models.pdf 3.3 MB
75 - Large-Language-Models-A-Comprehensive-Survey-of-its-Applications-Challenges-Limitations-and-Future-Prospects.pdf 6.2 MB
75 - Technical Challenges in LLMs.mp4 28.6 MB
76 - Review.mp4 31.0 MB
77 - What are AI Agents.mp4 13.2 MB
78 - Traditional Automation to Autonomous Agents.mp4 4.9 MB
79 - Why do Agents Matter in the AIDriven Future.mp4 10.9 MB
80 - AutoGPT.txt 16 bytes
80 - CodeAgent.pdf 1.1 MB
80 - LangChain.txt 26 bytes
80 - Major Examples of AI Agents.mp4 16.7 MB
80 - MusicLM-Generating-Music-From-Text.pdf 835.6 KB
80 - OpenDevin.txt 45 bytes
80 - The AI Scientist.txt 31 bytes
80 - Voyager.txt 29 bytes
80 - microsoftUFO.txt 32 bytes
81 - The-AI-Scientist-Towards-Fully-Automated-Open-Ended-Scientific-Discovery.pdf 11.2 MB
81 - Types of AI Agents.mp4 17.7 MB
82 - How do AI Agents Work.mp4 51.2 MB
83 - AutoGen.txt 53 bytes
83 - The Agent Economy.mp4 28.3 MB
84 - A-Taxonomy-of-AgentOps-for-Enabling-Observability-of-Foundation-Model-based-Agents.pdf 510.0 KB
84 - AIOS-LLM-Agent-Operating-System.pdf 1.3 MB
84 - AgentOps.mp4 24.8 MB
85 - Use Cases of AI Agents.mp4 12.3 MB
86 - Ethical and Practical Challenges of AI Agents.mp4 52.5 MB
87 - The Convergence of LLMs MultiModal AI and Automation.mp4 34.0 MB
88 - Thanks.mp4 18.3 MB
Bonus Resources.txt 70 bytes

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