LLMs Explained - Aggregate Intellect - AI.SCIENCE

LLMs Explained - Aggregate Intellect - AI.SCIENCE

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843,134
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711
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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 Videos With The Most Comments by LLMs Explained - Aggregate Intellect - AI.SCIENCE


Video TitleCommentsCategoryGame
101.Machine Learning for Cyber Security - Session 192
102.[Gated-SCNN] Gated Shape CNNs for Semantic Segmentation2
103.Building (AI?) Products; Step by Step Guide | AISC2Guide
104.What is the right team composition in era of LLMs?2
105.Learning Discrete Structures for Graph Neural Networks | AISC2
106.[hgraph2graph] Hierarchical Generation of Molecular Graphs using Structural Motifs | AISC Spotlight2
107.MLOps: MLflow Hands On, Session 2, part 22
108.MLOps: Overview of Machine Learning Operations on the Cloud | AISC2
109.Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning | AISC2
110.Tobias Pfaff (DeepMind): Learning to Simulate Complex Physics with Graph Networks2
111.How do Aggregate Intellect Machine Learning Product Competitions work?2
112.'Less Than One'-Shot Learning (author speaking)2
113.Plug and Play Language Models: A Simple Approach to Controlled Text Generation | AISC2
114.Automated Vulnerability Detection in Source Code Using Deep Learning (discussions) | AISC2Discussion
115.Climate Risk Exposure Analysis Machine2
116.5-min [machine learning] paper challenge | AISC2
117.Graph Neural Networks, Session 2: Graph Definition2
118.ChatGPT - the Chatbot that Follows Instructions - DRT S2E92Tutorial
119.Unsupervised Data Augmentation | AISC2
120.Learning Mesh-Based Simulation with Graph Networks - Tobias Pfaff (DeepMind)2
121.Building a Quantum Computer with Trapped Ions2
122.New Directions in Computer Vision2
123.Deep Learning in Healthcare and Its Practical Limitations2
124.Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT | AISC2
125.Neural Image Caption Generation with Visual Attention (algorithm) | AISC2
126.Integrating Physics into Machine Learning Models for Scientific Discovery | AISC2
127.Top-K Off-Policy Correction for a REINFORCE Recommender System | AISC2
128.Private Investing in Deep Tech - DRT - S2 bonus ep - Ft. Moien Giashi, Darryl Kirsch, Hessie Jones1
129.AI Product, Part 8: Short-term Validation1
130.Getting into Reinforcement Learning - Fireside Chat1
131.Machine Learning for Cyber Security: Graphs and ML- Session 141
132.Modern Innovations in Fine-Tuning Large Language Models1
133.Principal Neighbourhood Aggregation for Graph Nets | AISC1
134.You May Not Need Attention | TDLS Code Review1Review
135.Augmented Out-of-sample Comparison Method for Time Series Forecasting Techniques | AISC1
136.Recurrent Neural Network for Quantum Wave Function | AISC1
137.An Introduction to Quantum Computing1
138.Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes1
139.AI for Fun!1
140.Single Headed Attention RNN: Stop Thinking With Your Head | AISC1
141.[WeightWatcher] Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory1
142.CNN Architectures for Large-Scale Audio Classification | AISC1
143.TDLS - Classics: SMOTE, Synthetic Minority Over-sampling Technique (algorithm)1
144.Explainable Classifiers Using Counterfactual Approach | AISC1
145.PGGAN | Progressive Growing of GANs for Improved Quality, Stability, and Variation (part 1) | AISC1
146.[Phoenics] A Bayesian Optimizer for Chemistry | AISC Author Speaking1
147.guess what's happening!1
148.Graph Neural Networks, Session 4: Simple Graph Convolution1
149.XAI Data Scientist User Journey1
150.Survival regression with AFT model in XGBoost | AISC1
151.SHERPA - Open Source Project Update, 2023-09-291Vlog
152.Deep Learning for Symbolic Mathematics | AISC1
153.NLP on Noisy User-generated text - NER for StackOverflow | AISC1Let's Play
154.Product Ideation - Art of Finding the Right Problem to Work on! | AISC1
155.Automatic Evaluation of Dialogue Systems using LLMs1Vlog
156.Machine Learning in Blockchain - Deep Random Talks - Episode 111
157.Hypothesis Generation with AGATHA : Accelerate Scientific Discovery with Deep Learning | AISC1
158.Overview of Reinforcement Learning | AISC1
159.LLM Live Book - Project Update - 2023-08-111Vlog
160.Modern NLP: Review of Transformers- Session 51Let's Play
161.Machine Learning for Cyber Security - Session 111
162.How Can We Be So Dense? The Benefits of Using Highly Sparse Representations | AISC1
163.TDLS: Large-Scale Unsupervised Deep Representation Learning for Brain Structure1
164.Identifying Influential Individuals in Complex Networks: An Overview | AISC1
165.Wind Farm Generator Condition Monitoring1
166.Explainable AI to Automate Loan Underwriting Decisions | AISC1
167.EVE - Explainable Vector Embeddings - DRT S2E121
168.Evidential Reasoning Rule Based Feature Selection | AISC1
169.Data exploration – can machine learning discover new drugs? | AISC1
170.Intersection Between LLMs and Products1
171.Topological Deep Learning1Vlog
172.[LISA] Linguistically-Informed Self-Attention for Semantic Role Labeling | AISC1
173.Operationalizing the AI Canvas for AI Product Success (and profit) | AISC1
174.[AI Product] How to build products people actually want to use | AISC1Guide
175.Compact Neural Representation Using Attentive Network Pruning | AISC1
176.DrWhy.AI - Tools for Explainable Artificial Intelligence | AISC1
177.Reinforcement Learning: AI Gym Environment - Session 151
178.Serina Chang: Understanding the spread of COVID-19 using Social Network Models1
179.[GQN] Neural Scene Representation and Rendering | AISC1
180.Deep learning interpretation of echocardiograms | AISC1
181.Learn about Foodshake and it’s vegan recipes!1
182.[RoBERT & ToBERT] Hierarchical Transformers for Long Document Classification | AISC1
183.Learning-free Controllable Text Generation for Debiasing1
184.Visualizing Data using t-SNE (algorithm) | AISC Foundational1
185.Acetock - Stock Prediction Tool for Amateur Investors | Workshop Capstone1
186.Graph Neural Networks, Session 1: Introduction to Graphs1
187.Expanding the Capabilities of Language Models with External Tools1
188.The Emergence of KnowledgeOps1
189.Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthe1
190.Neural Image Caption Generation with Visual Attention (discussion) | AISC1Discussion
191.Reinforcement Learning in Economics and Finance | AISC1
192.Semi Supervised Learning - Session 121
193.Machine Learning for Cyber Security- Session 21
194.Jiri Stodulka- Data Scientist and Investor of Aggregate Intellect1
195.TF-Encrypted: Private machine learning in tensorflow with secure computing | AISC Lunch & Learn1
196.[RecSys Challenge 2019 2nd Place] Robust Contextual Models for In-Session Personalization | AISC1
197.Battery Modelling using Data-Driven Machine Learning | AISC1
198.Machine Learning and the Earth: Applying AI to address some of the world’s greatest challenges1
199.Restricted Boltzmann Machines for Collaborative Filtering | AISC1
200.Integrating Privacy is Integrating Ethics: What privacy could have done for Clearview AI | AISC1