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



Top 200 Most Viewed Videos by LLMs Explained - Aggregate Intellect - AI.SCIENCE


Video TitleViewsCategoryGame
101.Video Action Transformer Network | AISC1,638
102.Da Xu (Walmart Labs): Inductive Representation Learning on Temporal Graphs | AISC1,631
103.Deep learning enables rapid identification of potent DDR1 kinase inhibitors | AISC1,624
104.State of Natural Language Processing in 2019 | AISC1,619
105.Why do large batch sized trainings perform poorly in SGD? - Generalization Gap Explained | AISC1,609
106.Paper Explained : PEGASUS, a SOTA abstractive summarization model by Google | AISC1,600
107.Machine Learning for Cyber Security- Introduction - Session 11,592
108.Saramsh - Patent Document Summarization using BART | Workshop Capstone1,588
109.Quantum generative adversarial networks | TDLS Author Speaking1,525
110.A Literature Review on Machine Learning in Materials Science | AISC1,516Review
111.ACAI: Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer1,502
112.Single Headed Attention RNN: Stop Thinking With Your Head | AISC1,492
113.Sparse Transformers and MuseNet | AISC1,484
114.Explainable Neural Networks based on Additive Index Models | TDLS1,457
115.Neural Models of Text Normalization for Speech Applications | AISC Author Speaking1,454
116.GrowNet: Gradient Boosting Neural Networks | AISC1,435
117.Explainable AI to Automate Loan Underwriting Decisions | AISC1,411
118.Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer1,407
119.CNN Architectures for Large-Scale Audio Classification | AISC1,386
120.PGGAN | Progressive Growing of GANs for Improved Quality, Stability, and Variation (part 2) | AISC1,371
121.Understanding the Origins of Bias in Word Embeddings1,351
122.Unsupervised Data Augmentation | AISC1,349
123.Beyond Accuracy: Behavioral Testing of NLP Models with CheckList | AISC1,322Let's Play
124.Deep Learning for Symbolic Mathematics | AISC1,318
125.Restricted Boltzmann Machines for Collaborative Filtering | AISC1,309
126.Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches |1,279
127.Bayesian Deep Learning on a Quantum Computer | TDLS Author Speaking1,273
128.TDLS: Learning Functional Causal Models with GANs - part 1 (algorithm review)1,253Review
129.[Author speaking] Protein docking model evaluation by 3D convolutional neural networks | AISC1,238
130.[RecSys 2018 Challenge winner] Two-stage Model for Automatic Playlist Continuation at Scale |TDLS1,237
131.Evaluation of Multimodal RAG Systems using the LlamaIndex1,232
132.Building a LLM Testing API1,216
133.BERTology Meets Biology: Interpreting Attention in Protein Language Models | AISC1,190Vlog
134.Machine Learning on Source Code - GitHub / Open AI Copilot1,175
135.Trusted Text Classification from Concept to Deployment | NLP Workshop Capstone1,162Let's Play
136.News Recommender System Considering Temporal Dynamics and News Taxonomy | AISC1,158
137.Build next generation recommenders with NVIDIA Merlin | AISC1,151
138.Unifying machine learning and quantum chemistry with a deep neural network | AISC1,141
139.Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods | AISC1,136
140.Visualizing and measuring the geometry of BERT | AISC1,130
141.A Literature Review on Reinforcement Learning in Process Control | AISC1,122Review
142.Overview of Machine Learning in Behavioral Economics | AISC1,117
143.MLOps: Overview of Machine Learning Operations on the Cloud | AISC1,117
144.Parallel Collaborative Filtering for the Netflix Prize (algorithm review) | AISC Foundational1,090Review
145.Learning to Represent Programs with Graphs | TDLS1,090
146.Principal Neighbourhood Aggregation for Graph Nets | AISC1,089
147.Reinforcement Learning: Rainbow Algorithm - Session 111,072
148.[original backprop paper] Learning representations by back-propagating errors (part1) | AISC1,071
149.Machine learning meets continuous flow chemistry: Automated process optimization | AISC1,043
150.Learning Discrete Structures for Graph Neural Networks | AISC1,022
151.Machine Learning in Cyber Security, Overview | AISC1,014
152.Proving the Lottery Ticket Hypothesis: Pruning is All You Need | AISC Livestream with the Author1,001
153.Neural Image Caption Generation with Visual Attention (discussion) | AISC996Discussion
154.Speech synthesis from neural decoding of spoken sentences | AISC996
155.Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates | TDLS991
156.How do Aggregate Intellect Machine Learning Product Competitions work?986
157.MLOps: Introduction/Overview, Session 1, part 1979
158.Attention is not not explanation + Character Eyes: Seeing Language through Character-Level Taggers |976
159.Incorporating Large Language Models into Enterprise Analytics952
160.Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes934
161.Multi Type Mean Field Reinforcement Learning | AISC934
162.[XAI] Explainable AI in Retail | AISC929
163.Mathematics of Deep Learning: Introduction- Pytorch and linear algebra - Session 1917
164.Build and Deploy NLP models | NLP Overview915Let's Play
165.New Directions in Computer Vision885
166.Semi Supervised Learning: Introduction - Session 1875
167.SMOTE, Synthetic Minority Over-sampling Technique (discussions) | AISC Foundational872Discussion
168.Deep Learning in Healthcare and Its Practical Limitations861
169.End to end recommender engine using Amazon Glue and SageMaker - Use Case for Data Scientists | AISC858
170.BottleSum: Unsupervised & Self-supervised Sentence Summarization w/ Information Bottleneck Principle833Guide
171.Overview of Machine Learning in Marketing | AISC826
172.You May Not Need Attention | TDLS Code Review825Review
173.Integrating Physics into Machine Learning Models for Scientific Discovery | AISC813
174.LLMs - Chunking Strategies and Chunking Refinement806
175.De-identification of patients’ protected health information (PHI) from medical free-text | AISC804Guide
176.Reinforcement learning in sports analytics | AISC798
177.A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural784
178.Overview of Generative Adversarial Networks | AISC777
179.Building a Quantum Computer with Trapped Ions767
180.Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (algorithm) | AISC767
181.Flexible Neural Representation for Physics Prediction | AISC Trending Paper756
182.A Literature Review on Deep Learning in Finance | AISC742Review
183.Using unsupervised machine learning to uncover hidden scientific knowledge | AISC740
184.[Word2Bits] Quantized Word Vectors | AISC734
185.Automated Vulnerability Detection in Source Code Using Deep Learning (discussions) | AISC732Discussion
186.'Less Than One'-Shot Learning (author speaking)731
187.[RecSys Challenge 2019 2nd Place] Robust Contextual Models for In-Session Personalization | AISC730
188.Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning | AISC718
189.Building (AI?) Products; Step by Step Guide | AISC716Guide
190.Fast Film - Emotionally Aware Movie Recommender | Workshop Capstone716
191.[DOM-Q-NET] Grounded RL on Structured Language | AISC Author Speaking712
192.TDLS: Large-Scale Unsupervised Deep Representation Learning for Brain Structure711
193.[WeightWatcher] Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory707
194.A Literature Review on Interpretability for Machine Learning | AISC706Review
195.[LISA] Linguistically-Informed Self-Attention for Semantic Role Labeling | AISC704
196.TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing | AISC698Guide
197.Explaining by Removing: A Unified Framework for Model Explanation | AISC698
198.[T-Fixup] Improving Transformer Optimization Through Better Initialization | AISC696
199.Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning |695
200.MultiTask Learning with NLP693Let's Play