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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

Seeds: 5

Leechers: 0

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2026-01-19 16:33:14 (Update Now)

Torrent added: 2025-04-04 16:30:19






Torrent Files List


Get Bonus Downloads Here.url (Size: 2.55 GB) (Files: 162)

 Get Bonus Downloads Here.url

0.18 KB

 ~Get Your Files Here !

  1 - Introduction

   1 - Introduction.mp4

90.93 MB

   2 - Who is this course for.mp4

30.40 MB

   3 - Course Outline.mp4

90.50 MB

  2 - Fundamentals of Machine Learning and AI Introduction to AI and Machine Learning

   10 - Datasets Data as the foundation Features Labels and Datasets.mp4

18.77 MB

   11 - Training vs Inference How do AI models learn and make predictions.mp4

30.37 MB

   12 - Common challenges Overfitting.mp4

24.29 MB

   13 - Common challenges Bias.mp4

7.43 MB

   14 - Common challenges Generalization.mp4

13.36 MB

   15 - Key AIML Topics Feature Engineering.mp4

45.45 MB

   16 - Google dataset search.txt

0.04 KB

   16 - Internet archive.txt

0.02 KB

   16 - Kaggle.txt

0.03 KB

   16 - Key AIML Topics Key Data Sources.mp4

15.87 MB

   16 - Open Data on AWS.txt

0.11 KB

   16 - OpenDataMonitor.txt

0.03 KB

   16 - Quandl.txt

0.04 KB

   16 - UC Irvine Machine Learning Repository.txt

0.03 KB

   17 - Key AIML Topics Model Selection Different types of ML Models.mp4

31.78 MB

   18 - Key AIML Topics Model Selection How to select a suitable model.mp4

20.37 MB

   19 - Key AIML Topics Model Evaluation Validation and CrossValidation.mp4

38.42 MB

   20 - A-REVIEW-ON-EVALUATION-METRICS-FOR-DATA-CLASSIFICATION-EVALUATIONS.pdf

160.47 KB

   20 - Key AIML Topics Evaluating Model Performance.mp4

29.64 MB

   20 - Model-Evaluation-Model-Selection-and-Algorithm-Selection-in-Machine-Learning.pdf

1.85 MB

   20 - The-Relationship-Between-Precision-Recall-and-ROC-Curves.pdf

138.21 KB

   21 - Key AIML Topics Hyperparameters.mp4

24.83 MB

   22 - Dropout-A-Simple-Way-to-Prevent-Neural-Networks-from-Overfitting.pdf

2.74 MB

   22 - Key AIML Topics Model Regularization.mp4

13.41 MB

   23 - Awesome Deep Learning Related Survey Papers.txt

0.05 KB

   23 - Deep Learning and Artificial Neural Networks What are Artificial Neural Network.mp4

67.17 MB

   24 - Forward Propagation Backpropagation Gradient Descent.mp4

79.34 MB

   25 - A-survey-on-modern-trainable-activation-functions.pdf

1.02 MB

   25 - Activation Functions.mp4

71.41 MB

   25 - Activation-Functions-in-Deep-Learning-A-Comprehensive-Survey-and-Benchmark.pdf

836.49 KB

   26 - A-Survey-of-Optimization-Methods-from-a-Machine-Learning-Perspective.pdf

564.07 KB

   26 - Optimization Algorithms.mp4

68.13 MB

   27 - Intro to NLP Text Processing in NLP.mp4

29.44 MB

   28 - Applications of NLP.mp4

7.81 MB

   29 - Core NLP Tasks.mp4

25.05 MB

   30 - NLP Approaches.mp4

22.43 MB

   31 - Traditional Language Models.mp4

26.15 MB

   32 - Challenges in NLP.mp4

19.37 MB

   33 - A-Neural-Probabilistic-Language-Model.pdf

136.81 KB

   33 - A-STATISTICAL-APPROACH-TO-MACHINE-TRANSLATION.pdf

658.17 KB

   33 - Perplexity.mp4

24.63 MB

   34 - EncodingDecoding Architecture.mp4

22.41 MB

   4 - What is AI.mp4

65.02 MB

   5 - Ebook-SamGhosh-AI-Foundations-for-Decision-Makers.pdf

4.88 MB

   5 - Narrow AI vs Broad AI.mp4

21.68 MB

   6 - How does ML differ from traditional software.mp4

20.20 MB

   7 - Must Read Papers for Data Science ML and DL.txt

0.05 KB

   7 - Types of Machine Learning.mp4

55.66 MB

   8 - Features Data as the foundation Features Labels and Datasets.mp4

19.41 MB

   9 - Labels Data as the foundation Features Labels and Datasets.mp4

24.39 MB

  3 - Fundamentals of Large Language Models

   35 - Review.mp4

36.79 MB

   36 - What is Attention.mp4

18.37 MB

   37 - Understanding Transformers The shift from RNNs CNNs to Transformers.mp4

53.12 MB

   38 - Attention Is All You Need How selfattention enables LLMs.mp4

65.60 MB

   38 - attentionisall.pdf

2.11 MB

   39 - SelfAttention and CrossAttention.mp4

59.14 MB

   40 - Scaling Laws.mp4

48.98 MB

   40 - Scaling-Laws-for-Neural-Language-Models.pdf

2.38 MB

   40 - Training-Compute-Optimal-Large-Language-Models.pdf

5.73 MB

   41 - How LLMs learn and adapt.mp4

28.51 MB

   41 - Large-Language-Models-A-Survey.pdf

4.66 MB

   42 - Types of Pretraining.mp4

17.72 MB

   43 - Selfsupervised Learning.mp4

43.19 MB

   44 - LLM Model Architectures.mp4

80.42 MB

   45 - Model Size and Capabilities.mp4

21.39 MB

   46 - Finetuning Fundamentals.mp4

12.82 MB

   46 - Instruction-Tuning-with-GPT-4.pdf

1.50 MB

   46 - Prefix-Tuning-Optimizing-Continuous-Prompts-for-Generation.pdf

1.50 MB

   47 - Adapters-A-Unified-Library-for-Parameter-Efficient-and-Modular-Transfer-Learning.pdf

1.41 MB

   47 - LoRA-Low-Rank-Adaptation-of-Large-Language-Models.pdf

1.53 MB

   47 - ParameterEfficient FineTuning PEFT.mp4

28.48 MB

   47 - QLoRA-Efficient-Finetuning-of-Quantized-LLMs.pdf

1.02 MB

   48 - PostTraining Fundamentals.mp4

11.41 MB

   48 - RLAIF-vs.RLHF-Scaling-Reinforcement-Learning-from-Human-Feedback-with-AI-Feedback.pdf

2.41 MB

   49 - Pre-train-Prompt-and-Predict-A-Systematic-Survey-of-Prompting-Methods-in-Natural-Language-Processing.pdf

11.76 MB

   49 - Ways to interact with LLMs.mp4

63.16 MB

   50 - Zeroshot Prompting.mp4

6.21 MB

   51 - Chain-of-Thought-Prompting-Elicits-Reasoning-in-Large-Language-Models.pdf

870.87 KB

   51 - ChainofThought CoT Reasoning.mp4

5.58 MB

   52 - Zeroshot ChainofThought CoT.mp4

2.61 MB

   53 - Fewshot Prompting.mp4

3.77 MB

   53 - Language-Models-are-Few-Shot-Learners.pdf

6.45 MB

   54 - Fewshot Prompting CoT.mp4

2.76 MB

   55 - DemonstrateSearchPredict.mp4

4.37 MB

   56 - Interleaved Retrieval guided by ChainofThought IRCoT.mp4

3.97 MB

   57 - SelfConsistency and Tree of Thoughts ToT.mp4

23.31 MB

   58 - Retrieval-Augmented-Generation-for-Knowledge-Intensive-NLP-Tasks.pdf

864.57 KB

   58 - Retrieval-Augmented-Generation-for-Large-Language-Models-A-Survey.pdf

1.59 MB

   58 - RetrievalAugmented Generation RAG.mp4

28.88 MB

   59 - AI Agents Autonomous Reasoning.mp4

39.85 MB

   60 - OpenSource vs Proprietary LLMs.mp4

26.13 MB

   61 - GPT Series OpenAI.mp4

18.27 MB

   62 - BERT RoBERTa Google Meta.mp4

14.19 MB

   63 - T5 UL2 Google.mp4

22.79 MB

   64 - Claude Anthropic.mp4

15.74 MB

   65 - LLaMA Meta.mp4

11.78 MB

   66 - Mistral Mixtral.mp4

13.16 MB

   67 - Gemini Google DeepMind.mp4

20.47 MB

   68 - DeepSeek r1.mp4

6.90 MB

   69 - Grok xAI.mp4

11.72 MB

   70 - Command R Cohere Other Enterprise LLMs.mp4

21.87 MB

   71 - Key Selection Factors for LLMs.mp4

20.28 MB

   72 - BIGBenchHard.txt

0.04 KB

   72 - BIGbench.txt

0.03 KB

   72 - GLUE.txt

0.03 KB

   72 - GSM8K.txt

0.04 KB

   72 - HumanEval.txt

0.04 KB

   72 - LLM Performance Benchmarks.mp4

19.22 MB

   72 - MATH.txt

0.04 KB

   72 - MMLU.txt

0.04 KB

   72 - SQuAD V2.txt

0.05 KB

   72 - SQuAD.txt

0.04 KB

   72 - superGLUE.txt

0.03 KB

   73 - AGIEval.txt

0.04 KB

   73 - Chatbot Arena.txt

0.02 KB

   73 - Codebench.txt

0.03 KB

   73 - HELM.txt

0.03 KB

   73 - LLM Leaderboards.mp4

19.99 MB

   73 - MTBench.txt

0.04 KB

   73 - Open LLM Leaderboard.txt

0.07 KB

   73 - TruthfulQA.txt

0.04 KB

   74 - Accenture AI.txt

0.05 KB

   74 - AiTuning.txt

0.02 KB

   74 - IntelligentMind.txt

0.03 KB

   74 - LLM Deployment Strategies.mp4

35.64 MB

   74 - Vaidik.txt

0.02 KB

   75 - A-Comprehensive-Analysis-of-Memorization-in-Large-Language-Models.pdf

1.34 MB

   75 - A-Review-of-Current-Trends-Techniques-and-Challenges-in-Large-Language-Models-LLMs.pdf

533.38 KB

   75 - A-Survey-on-Hallucination-in-Large-Language-Models-Principles-Taxonomy-Challenges-and-Open-Questions.pdf

1.53 MB

   75 - Demystifying-Verbatim-Memorization-in-Large-Language-Models.pdf

3.35 MB

   75 - Large-Language-Models-A-Comprehensive-Survey-of-its-Applications-Challenges-Limitations-and-Future-Prospects.pdf

6.19 MB

   75 - Technical Challenges in LLMs.mp4

28.58 MB

  4 - Understanding the Agent Economy

   76 - Review.mp4

31.04 MB

   77 - What are AI Agents.mp4

13.17 MB

   78 - Traditional Automation to Autonomous Agents.mp4

4.90 MB

   79 - Why do Agents Matter in the AIDriven Future.mp4

10.85 MB

   80 - AutoGPT.txt

0.02 KB

   80 - CodeAgent.pdf

1.15 MB

   80 - LangChain.txt

0.03 KB

   80 - Major Examples of AI Agents.mp4

16.66 MB

   80 - MusicLM-Generating-Music-From-Text.pdf

835.58 KB

   80 - OpenDevin.txt

0.04 KB

   80 - The AI Scientist.txt

0.03 KB

   80 - Voyager.txt

0.03 KB

   80 - microsoftUFO.txt

0.03 KB

   81 - The-AI-Scientist-Towards-Fully-Automated-Open-Ended-Scientific-Discovery.pdf

11.19 MB

   81 - Types of AI Agents.mp4

17.71 MB

   82 - How do AI Agents Work.mp4

51.24 MB

   83 - AutoGen.txt

0.05 KB

   83 - The Agent Economy.mp4

28.28 MB

   84 - A-Taxonomy-of-AgentOps-for-Enabling-Observability-of-Foundation-Model-based-Agents.pdf

509.99 KB

   84 - AIOS-LLM-Agent-Operating-System.pdf

1.28 MB

   84 - AgentOps.mp4

24.75 MB

   85 - Use Cases of AI Agents.mp4

12.34 MB

   86 - Ethical and Practical Challenges of AI Agents.mp4

52.48 MB

   87 - The Convergence of LLMs MultiModal AI and Automation.mp4

33.97 MB

   88 - Thanks.mp4

18.34 MB

  Bonus Resources.txt

0.07 KB
 

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