LLMs Explained - Aggregate Intellect - AI.SCIENCE

LLMs Explained - Aggregate Intellect - AI.SCIENCE

Views:
853,049
Subscribers:
23,000
Videos:
805
Duration:
18:20:50:03
Canada
Canada

LLMs Explained - Aggregate Intellect - AI.SCIENCE is a Canadian YouTube content creator with roughly 23 thousand subscribers. He published 805 videos which altogether total roughly 853.05 thousand views.

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



Top 500 Videos With The Most Comments by LLMs Explained - Aggregate Intellect - AI.SCIENCE


Video TitleCommentsCategoryGame
401.Symmetries in Deep Learning - Deep Random Talks - Episode 180
402.Machine Learning for Cyber Security: Graph Theory - Session 120
403.Reinforcement Learning: Introduction - Session 10
404.De-identification of patients’ protected health information (PHI) from medical free-text | AISC0Guide
405.Dirichlet Pruning for Neural Network Compression | AISC0
406.Fast Film - Emotionally Aware Movie Recommender | Workshop Capstone0
407.Machine Learning for Cyber Security - Session 180
408.Reinforcement Learning: Q-Learning - Session 70
409.Autonomous Experiments for Structural Design in 3d Printing0
410.RadioAssistant - Ranking Radiology Patients using Deep Learning | Workshop Capstone0
411.A Literature Review on ML in Climate Science | AISC0Review
412.Support Vector Machine (original paper) | AISC Foundational0
413.Reinforcement Learning: Temporal Difference - Session 60
414.An algorithm for Bayesian optimization for categorical variables informed by physical intuition with0
415.Learning to Play Soccer by Reinforcement Learning | AISC0
416.Memory-Based Graph Networks | AISC0
417.Founders Stream: Customer Journey Maps in a Post-COVID-19 World | AISC0
418.PGGAN | Progressive Growing of GANs for Improved Quality, Stability, and Variation (part 2) | AISC0
419.Mathematics of Deep Learning: Gradient descent contd - Training - Session 120
420.Human-Technology Systems for Intelligent Civil Infrastructure Operation and Maintenance | AISC0Vlog
421.Protein secondary structure detection in intermediate-resolution cryo-EM maps using deep learning |0
422.Defending Against Fake Neural News | AISC0
423.How goodness metrics lead to undesired recommendations0
424.Explainable AI, Session 1: Introduction, Welcome & A Message from the Instructor0
425.New methods for identifying latent manifold structure from neural data | ASIC0
426.Leveraging Language Models for Training Data Generation and Tool Learning0
427.2019 AI Squared Forum Paper Track | AISC0
428.Testing Strategies for LLMs - SHERPA - Open Source Project Update, 2023-12-080Vlog
429.A Literature Review on Interpretability for Machine Learning | AISC0Review
430.[cnvrg.io] Operating System for Machine Learning | AISC0
431.Inferring the 3D Standing Spine Posture from 2D Radiographs | AISC0
432.Making of a conversational agent platform | AISC0
433.The Importance of Privacy in ChatGPT and LLMs0
434.Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling0
435.Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (discussions) | AISC0Discussion
436.Paper review - Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey | AISC0Review
437.AISC Abstract Night June 20 20190
438.​Diving Into Document Question and Answering Systems with LLMs0
439.Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation0
440.Eliciting Business Insights at Scale with Conversational AI0
441.ACT: Adaptive Computation Time for Recurrent Neural Networks | AISC0
442.Machine Learning for Cyber Security - Session 30
443.Understanding the Origins of Bias in Word Embeddings0
444.Semi Supervised Learning - Session 130
445.Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (algorithm) | AISC0
446.Azure MLops- Experiment Reproducibility Hands-on I- Session II, part 20
447.Competitive Advantage for Startups in era of LLMs0
448.Real-time Forecasting & Remote Sensing for AgTech Decision Support (ML in Sustainability at Aquanty)0
449.​PandasAI - Talk to Your Data0
450.An Overview: Sustainability Analysis Framework and Influences of AI on the Sustainability Dimensions0
451.Practical Applications, Impact, and ROI of Generative AI0
452.Predicting and Understanding Human Choices using PCMC-Net with an application to Airline Itineraries0
453.Azure MLops- Model Deployment II- Session III, part 30
454.An eye on AI in Healthcare | AISC0
455.Running LLMs in Your Environment0
456.Quantum Technologies: State of Play | AISC0Vlog
457.AI and ML toward Telcom future | AISC0
458.Overview: Machine Learning for Quantum Matter Research | AISC0
459.Mathematics of Deep Learning: Gradient descent - Session 110
460.Model Selection for Optimal Prediction in Statistical Learning (Part 1: 7 Wheels of Stat Learning)0
461.Human Aware AI: Reducing Transportation Energy of a City by Influencing Individual Behaviour0
462.Representation Learning of Histopathology Images using Graph Neural Networks | AISC0Vlog
463.Azure MLops- MLops Flow- Session III, part 40
464.What are the system level considerations for using LLMs?0
465.Subexponential-Time Algorithms for Sparse PCA | AISC0
466.A Literature Review on Reinforcement Learning in Process Control | AISC0Review
467.Machine Learning Product Challenges on Aggregate Intellect0
468.Distributed Data Engineering for Science - OpSci - Holonym - DRT S2E160
469.See.Know.Bias - Using AI to Develop Media Literacy and Keep News Neutral | workshop capstone0
470.Daniel Lemire: The research paper should NOT be the final product | AISC0
471.Nvidia's RAPIDS.ai: Massively Accelerated Modern Data-Science | AISC0
472.Modern Knowledge Management in 2022 - Deep Random Talks S2E70
473.Parallel Collaborative Filtering for the Netflix Prize (algorithm review) | AISC Foundational0Review
474.A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural0
475.A Web-scale system for scientific knowledge exploration | AISC0
476.What are the future plans of Foodshake?0
477.LLM Evaluation, Validation, and Verification0Discussion
478.TDLS: Learning Functional Causal Models with GANs - part 1 (algorithm review)0Review
479.LLMs, Gen AI and Stakeholder Buy-in0
480.Semi Supervised Learning - Session 80
481.Project Update - Building a Live Book0
482.Extracting Biologically Relevant Latent Space from Cancer Transcriptomes \w VAEs(discussions) I AISC0Discussion
483.Building ResearchLLM: automated statistical research and interpretation0
484.Machine Learning for Cyber Security - Session 70
485.Large Language Models, AI Ethics, and Community-led Science - Deep Random Talks - Episode 190
486.Bayesian Deep Learning on a Quantum Computer | TDLS Author Speaking0
487.Semi Supervised Learning - Session 50
488.AI Data Considerations in Medicine0
489.Semi Supervised Learning - Session 90
490.Program Language Translation Using a Grammar-Driven Tree-to-Tree Model | TDLS0
491.Modern Anomaly and Novelty Detection: Exercise - Session 250
492.Explaining by Removing: A Unified Framework for Model Explanation | AISC0
493.Machine Learning for Cyber Security - Session 170
494.LLM Products vs Traditional Digital Products0
495.Mathematics of Deep Learning: Why convolutions, sobel & scharr filters Session 80
496.AI for a Sustainable Future: Think Globally, Act Locally! | AISC0
497.Machine Learning for Cyber Security - Session 90
498.LLMs and Business Workflows0
499.Graph Neural Networks, Session 3: Machine-Learning Tasks on Graphs0
500.Policy Priority Inference: Simulations for Government Strategy | AISC0