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


Video TitleCommentsCategoryGame
301.Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling0
302.Reinforcement Learning - Session 50
303.Why Collaborative Models are the Future of AI in Agriculture0
304.Large Language Models, AI Ethics, and Community-led Science - Deep Random Talks - Episode 190
305.Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation0
306.Mathematics of Deep Learning: Introduction- Pytorch and linear algebra - Session 10
307.The Importance of Strategy in AI Product Management | AISC0
308.Semi Supervised Learning - Session 90
309.Understanding the Origins of Bias in Word Embeddings0
310.Predicting compound activity from phenotypic profiles0
311.Bounded Rationality in Las Vegas: Probabilistic Finite Automata PlayMulti-Armed Bandits | AISC0
312.Machine Learning for Cyber Security - Session 170
313.What is the Role of Data Quality and Diversity in LLM Systems?0
314.Targeted Machine Learning for Data Science | AISC0
315.Founders in Fundraising, and AI Applications0
316.Machine Learning for Cyber Security - Session 90
317.Commercializing LLMs: Lessons and Ideas for Agile Innovation0
318.TeslaSenti: Near real-time sentiment analysis of Tesla tweets | Workshop Capstone0
319.The Synthesizability of Molecules Proposed by Generative Models | AISC0
320.XAI with Monotonic Constraints & Interaction Constraints0
321.Semi Supervised Learning - Session 40
322.Proving the Lottery Ticket Hypothesis: Pruning is All You Need | AISC Livestream with the Author0
323.Unifying machine learning and quantum chemistry with a deep neural network | AISC0
324.Real-World Quantum Communication: One Module at a Time | AISC0
325.Reinforcement Learning: Introduction - Session 10
326.Annotating Object Instances With a Polygon RNN | AISC0
327.A Literature Review on ML in Health Care : Introducing new AISC Stream | AISC0Review
328.DeepFakes & Explainable AI Applications in NLP, Biomedical & Malware Classification0
329.Autonomous Experiments for Structural Design in 3d Printing0
330.Building Ernie for Topic Modelling Using LLMs0
331.LLMs, Gen AI and Stakeholder Buy-in0
332.How do you improve your RAG pipeline?0
333.Eliciting Business Insights at Scale with Conversational AI0
334.Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning | AISC0
335.Learning to Play Soccer by Reinforcement Learning | AISC0
336.Generative AI: Ethics, Accessibility, Legal Risk Mitigation0
337.Building ResearchLLM: automated statistical research and interpretation0
338.Are long context LLMs the death of RAG?0
339.Forecasting Systems and Disruption with Transformers0
340.Model Selection for Optimal Prediction in Statistical Learning - Part 2 / 2 | AISC0
341.Protein secondary structure detection in intermediate-resolution cryo-EM maps using deep learning |0
342.Security & Privacy in IoT0
343.Semi Supervised Learning - Session 50
344.Semi Supervised Learning - Session 60
345.Semi Supervised Learning - Session 130
346.Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples | AISC0
347.Investing in Deep Tech - Investor's Angle; Deep Random Talks S2E8 - Ft. Moien Giashi, Amir Feizpour0
348.An Introduction to the Quantum Tech Ecosystem | AISC0
349.Modern Anomaly and Novelty Detection: Exercise - Session 250
350.Mathematics of Deep Learning: Convnets- Session 90
351.Real-time Forecasting & Remote Sensing for AgTech Decision Support (ML in Sustainability at Aquanty)0
352.Tensor Field Networks | AISC0
353.TalentDAO- How does decentralized scientific publishing work - Deep Random Talks S2E60
354.How to Track Objects in Videos with Self-supervised Techniques | AISC0Guide
355.Mathematics of Deep Learning: Why convolutions, sobel & scharr filters Session 80
356.MLOps: Creating an AWS account and GitHub account, Session 1, part 20
357.Author speaking: Proper Machine Learning Explanations through LIME using OptiLIME framework | AISC0
358.Machine Learning for Cyber Security - Session 150
359.Practical Transformers - Natural Language Processing | Learning Package Overview0
360.Graph Neural Networks, Session 3: Machine-Learning Tasks on Graphs0
361.AI Product, Part 5: Discovery0
362.Predicting and Understanding Human Choices using PCMC-Net with an application to Airline Itineraries0
363.Mathematics of Deep Learning: Linear Algebra I: tensors, matrices, dot product - Session 20
364.Computer vision to deeply phenotype human diseases across physiological, tissue and molecular scales0Vlog
365.Embeddings of weather forecast images for search and more0
366.Explaining image classifiers by removing input features using generative models | AISC0
367.Quantum Technologies: State of Play | AISC0Vlog
368.Human-Machine Learning Systems: The Sum is Bigger than the Parts (with Professor Matthew Taylor)0
369.Highly Recommended: A Fireside Chat with AISC's Resident Experts on Recommender Systems0
370.Introducing AI BRIEFS0
371.Joint Policy-Value Learning for Recommendation | AISC0
372.Model Selection for Optimal Prediction in Statistical Learning (Part 1: 7 Wheels of Stat Learning)0
373.Statistical Issues in Agent-Based Models | AISC0
374.[MOREL] Unsupervised Video Object Segmentation for Deep Reinforcement Learning0
375.Video Action Transformer Network | AISC0
376.COVID and Racial Inequity, and Implications for AI0
377.Agents Embedded in the Real World0
378.Product Ideation: From a Hunch to a Concrete Idea0
379.Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial | AISC0Preview
380.Speech synthesis from neural decoding of spoken sentences | AISC0
381.What is the relationship between language and intelligence?0
382.High Performance Computing on Cloud for Generative AI0
383.Intro to Language Model Operations (LLM-Ops)0
384.A review of ML for aerospace systems health management | AISC0Review
385.An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph | AISC0
386.LLM Products vs Traditional Digital Products0
387.How Do You choose between training, fine-tuning, and using small models?0
388.Reinforcement Learning: Code Walkthrough - Session 30
389.Total Recall with NLP and LLMs - Deep Random Talks0Let's Play
390.Reducing Gender Bias in Google Translate | Summary and Takeaways | AISC0
391.Fast Film - Emotionally Aware Movie Recommender | Workshop Capstone0
392.LLMs and Business Workflows0
393.Constructing Synthetic Datasets using LLMs0
394.Azure MLops- Experiment Reproducibility Hands-on III- Session II, part 40
395.ChatGPT-like application for construction of mathematical financial models0
396.Algorithmic Inclusion: A Scalable Approach to Reducing Gender Bias in Google Translate | AISC0
397.Support Vector Machine (original paper) | AISC Foundational0
398.Reinforcement Learning: Reinforce Hands-on - Session 130
399.Council: A Framework for Developing Generative AI Applications0
400.Meet the MLOps Experts, a fireside chat for newcomers to AI careers0