LLMs Explained - Aggregate Intellect - AI.SCIENCE

LLMs Explained - Aggregate Intellect - AI.SCIENCE

Views:
843,134
Subscribers:
22,400
Videos:
711
Duration:
18:20:50:03
Canada
Canada

LLMs Explained - Aggregate Intellect - AI.SCIENCE is a Canadian YouTube content creator with roughly 22.4 thousand subscribers. He published 711 videos which altogether total roughly 843.13 thousand views.

Created on ● Channel Link: https://www.youtube.com/channel/UCfk3pS8cCPxOgoleriIufyg





All Videos by LLMs Explained - Aggregate Intellect - AI.SCIENCE



PublishedVideo TitleDurationViewsCategoryGame
2022-04-02Machine Learning for Cyber Security- Introduction - Session 619:18120
2022-04-02Machine Learning for Cyber Security - Session 529:35162
2022-04-02Machine Learning for Cyber Security - Session 419:40172
2022-04-02Machine Learning for Cyber Security - Session 320:10222
2022-04-02Machine Learning for Cyber Security- Session 223:07363
2022-04-02Machine Learning for Cyber Security- Introduction - Session 128:531,592
2022-03-31Machine Learning, Communities, and Future of Work - Deep Random Talks - Episode 1058:26185
2022-03-30Modern NLP: Review of Transformers- Session 538:19195Let's Play
2022-03-29Modern NLP: Review of A Variety of Course Content- Session 4, part 123:0250Let's Play
2022-03-29Modern NLP- Additional Processing Topics- Session 4, part 521:1444Let's Play
2022-03-28Reinforcement Learning: AI Gym Environment - Session 1523:04211
2022-03-28Reinforcement Learning: Applications Discussions - Session 140:0067
2022-03-28Reinforcement Learning: Reinforce Hands-on - Session 130:0080
2022-03-28Reinforcement Learning: Policy Gradients - Session 120:00115
2022-03-28Reinforcement Learning: Rainbow Algorithm - Session 110:001,072
2022-03-28Reinforcement Learning: Deep Q-Learning Exercise - Session 100:00214
2022-03-28Reinforcement Learning: Deep Q-Learning Q&A - Session 90:0037
2022-03-28Reinforcement Learning: Deep Q-Learning - Session 80:0093
2022-03-28Reinforcement Learning: Q-Learning - Session 70:0088
2022-03-28Reinforcement Learning: Temporal Difference - Session 60:00300
2022-03-28Reinforcement Learning - Session 50:0093
2022-03-28Reinforcement Learning: Fundamentals II - Session 40:00118
2022-03-28Reinforcement Learning: Code Walkthrough - Session 30:00140
2022-03-28Reinforcement Learning: Q&A, Closing - Session 160:0044
2022-03-28Reinforcement Learning: Fundamentals - Session 20:00259
2022-03-28Reinforcement Learning: Introduction - Session 10:00527
2022-03-28Modern NLP: Walkthrough of Assignment 1-Session 4, part 40:0098
2022-03-28Mathematics of Deep Learning: Gradient descent contd - Training - Session 120:00311
2022-03-28Mathematics of Deep Learning: Gradient descent - Session 110:00153
2022-03-28Mathematics of Deep Learning: Dropout- Session 100:00326
2022-03-28Mathematics of Deep Learning: Convnets- Session 90:00105
2022-03-28Mathematics of Deep Learning: Why convolutions, sobel & scharr filters Session 80:00416
2022-03-28Mathematics of Deep Learning: 2D convolutions, pooling, dilated convolutions - Session 70:00253
2022-03-28Mathematics of Deep Learning: Convolutions- Session 60:00175
2022-03-28Mathematics of Deep Learning: Linear Algebra IV: loss functions - Session 50:00190
2022-03-28Mathematics of Deep Learning: Linear Algebra III: non-linearities - Session 40:00236
2022-03-28Mathematics of Deep Learning: Linear Algebra I: tensors, matrices, dot product - Session 20:00452
2022-03-28Mathematics of Deep Learning: Linear Algebra II: matrices and eigendecomposition - Session 30:00343
2022-03-28Mathematics of Deep Learning: Introduction- Pytorch and linear algebra - Session 10:00917
2022-03-28Mathematics of Deep Learning: Chain Rule, Backpropagation & Autograd - Session 130:00470
2022-03-28Azure MLops- Model Deployment II- Session III, part 30:0065
2022-03-28Azure MLops- Model Deployment- Session III, part 20:0059
2022-03-28Azure MLops- ML Pipelines- Session III, part 10:0074
2022-03-28Azure MLops- MLops Flow- Session III, part 40:0082
2022-03-28Azure MLops- MLPipeline_MNIST Hands-on- Session II, part 50:0077
2022-03-28Azure MLops- Experiment Reproducibility Hands-on III- Session II, part 40:0034
2022-03-28Azure MLops- Experiment Reproducibility Hands-on II- Session II, part 30:0050
2022-03-28Azure MLops- Experiment Reproducibility Hands-on I- Session II, part 20:0085
2021-09-21MLOps: Packaging Overview, Session 1, part 52:24302
2021-09-21MLOps: Introduction/Overview, Session 1, part 12:10979
2021-09-21MLOps: MLflow Hands On, Session 2, part 220:232,079
2021-09-21MLOps: Creating an AWS account and GitHub account, Session 1, part 24:09354
2021-09-21MLOps: Flask Iris Model Serving, Session 2, part 113:53354
2021-09-21MLOps: Common Serialization Approaches, Session 2, part 19:30317
2021-09-09Machine Learning on Source Code - GitHub / Open AI Copilot28:251,175
2021-09-02AI Product, Part 9: Long-term Validation7:16245
2021-09-02AI Product, Part 8: Short-term Validation8:4681
2021-09-02AI Product, Part 7: Storytelling7:18165
2021-09-02AI Product, Part 6: Product Team1:2895
2021-09-02AI Product, Part 5: Discovery14:11114
2021-09-02AI Product, Part 4: Talking to Users5:5682
2021-09-02AI Product, Part 3: Ideation7:17149
2021-09-02AI Product, Part 2: Frameworks13:35264
2021-09-02AI Product, Part 1: Principles6:15649
2021-09-01Explainable AI, Session 5: Intro to SHAP9:532,381
2021-09-01Explainable AI, Session 4: Intro to LIME9:154,709
2021-09-01Explainable AI, Session 3: Explainability Options6:08354
2021-09-01Explainable AI, Session 2: Why Do We Need Machine Learning Explanations4:33263
2021-09-01Explainable AI, Session 1: Introduction, Welcome & A Message from the Instructor1:28422
2021-08-31Graph Neural Networks, Session 6: DeepWalk and Node2Vec10:268,058
2021-08-31Graph Neural Networks, Session 5: Graph Attention Networks5:101,665
2021-08-31Graph Neural Networks, Session 4: Simple Graph Convolution8:382,791
2021-08-31Graph Neural Networks, Session 3: Machine-Learning Tasks on Graphs4:312,195
2021-08-31Graph Neural Networks, Session 2: Graph Definition3:011,885
2021-08-31Graph Neural Networks, Session 1: Introduction to Graphs2:093,939
2021-08-26Reinforcement Learning in the Real World (with Professor Matthew Taylor)1:01:45531
2021-05-19Autonomous Experiments for Structural Design in 3d Printing57:03226
2021-05-06Climate Action Directed by AI Methodologies19:30165Vlog
2021-05-06Wind Farm Generator Condition Monitoring34:50374
2021-05-05How do Aggregate Intellect Machine Learning Product Competitions work?3:47986
2021-05-04Real-time Forecasting & Remote Sensing for AgTech Decision Support (ML in Sustainability at Aquanty)11:22142
2021-05-04An Overview: Sustainability Analysis Framework and Influences of AI on the Sustainability Dimensions19:56159
2021-05-04Why Collaborative Models are the Future of AI in Agriculture13:17128
2021-05-04Machine Learning Product Competitions - Winners' Roundtable Discussion35:02383Discussion
2021-04-29XAI Data Scientist User Journey59:44426
2021-04-29Benchmarking and Survey of Explanation Methods for Black Box Models | AISC1:06:27532
2021-04-27Human-Machine Learning Systems: The Sum is Bigger than the Parts (with Professor Matthew Taylor)56:29100
2021-04-22Embeddings of weather forecast images for search and more43:18262
2021-04-20MultiTask Learning with NLP21:35693Let's Play
2021-04-20Investigating Anti-Muslim Bias in GPT-336:47513
2021-04-15Evidential Reasoning Rule Based Feature Selection | AISC56:45478
2021-04-13Getting into Reinforcement Learning - Fireside Chat44:44177
2021-04-06AI Data Considerations in Medicine11:34127
2021-04-06QSAR Model Explained8:502,087
2021-04-06RPA for Enterprises15:1087
2021-04-06Security & Privacy in IoT10:37311
2021-03-26Women In AI Spring 2021 Showcase!!!1:20330
2021-03-25XAI with Monotonic Constraints & Interaction Constraints44:37567
2021-03-22Grammatical Error Correction for Legal Professionals9:52214
2021-03-22Team Emotion9:49117