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 500 Videos With The Longest Duration by LLMs Explained - Aggregate Intellect - AI.SCIENCE


Video TitleDurationCategoryGame
401.Reinforcement Learning for Batch-to-Batch Bioprocess Optimisation | AISC31:18
402.Testing Strategies for LLMs - SHERPA - Open Source Project Update, 2023-12-0830:24Vlog
403.Challenges and Solutions for LLMs in Production29:58
404.Machine Learning for Cyber Security - Session 529:35
405.Machine Learning for Cyber Security - Session 1929:30
406.Explaining image classifiers by removing input features using generative models | AISC29:03
407.Machine Learning for Cyber Security- Introduction - Session 128:53
408.Constructing Synthetic Datasets using LLMs28:40
409.SMOTE, Synthetic Minority Over-sampling Technique (discussions) | AISC Foundational28:28Discussion
410.[original backprop paper] Learning representations by back-propagating errors (part1) | AISC28:25
411.Machine Learning on Source Code - GitHub / Open AI Copilot28:25
412.LLM Products vs Traditional Digital Products28:11
413.LLMs, Gen AI and Stakeholder Buy-in28:06
414.Machine Learning for Cyber Security - Session 1727:55
415.LLM Live Book - Project Update - 2023-08-1127:47Vlog
416.Modern Innovations in Fine-Tuning Large Language Models27:45
417.[DQN] Human-level control through deep reinforcement learning (discussions) | AISC Foundational27:31Discussion
418.Machine Learning for Cyber Security - Session 1827:23
419.​PandasAI - Talk to Your Data27:11
420.[Word2Bits] Quantized Word Vectors | AISC27:05
421.PandasAI - From Open Source to User-centric Products27:00
422.Intersection Between LLMs and Products26:58
423.Private Investing in Deep Tech - DRT - S2 bonus ep - Ft. Moien Giashi, Darryl Kirsch, Hessie Jones26:47
424.Building ResearchLLM: automated statistical research and interpretation26:41
425.Optimizing Large Language Models with Reinforcement Learning-Based Prompts26:31
426.Eliciting Business Insights at Scale with Conversational AI25:45
427.Evaluating Job Exposure to Large Language Models25:43
428.​Diving Into Document Question and Answering Systems with LLMs25:43
429.​ThinkGPT: Agent and Chain of Thought techniques for LLMs25:31
430.Machine Learning for Cyber Security - Session 925:21
431.AI for Fun!25:13
432.Parallel Collaborative Filtering for the Netflix Prize (algorithm review) | AISC Foundational25:01Review
433.Neural Ordinary Differential Equations - part 1 (algorithm review) | AISC24:35Review
434.Building Ernie for Topic Modelling Using LLMs24:27
435.Semi Supervised Learning - Session 224:14
436.SHERPA - Open Source Project Update, 2023-09-2924:04Vlog
437.Semi Supervised Learning - Session 1323:53
438.Empirical Rigor in ML23:52
439.Agents Embedded in the Real World23:40
440.LLM Pitch Session - Technical Customer Experience and Effective Communication23:27
441.Visualizing Data using t-SNE (discussions) | AISC Foundational23:15Discussion
442.Startup Pitch: Automating Data Extraction with AI23:08
443.Machine Learning for Cyber Security- Session 223:07
444.Reinforcement Learning: AI Gym Environment - Session 1523:04
445.Modern NLP: Review of A Variety of Course Content- Session 4, part 123:02Let's Play
446.Forecasting Systems and Disruption with Transformers22:55
447.PGGAN | Progressive Growing of GANs for Improved Quality, Stability, and Variation (part 2) | AISC22:47
448.Semi Supervised Learning - Session 422:22
449.Project Update - Building a Live Book22:09
450.Machine Learning for Cyber Security - Session 1622:06
451.Machine Learning for Cyber Security - Session 722:04
452.The Emergence of KnowledgeOps21:56
453.Detecting Customer Complaint Escalation w/ Recurrent Neural Networks & Manually-Engineered Features21:41
454.Semi Supervised Learning - Session 621:40
455.MultiTask Learning with NLP21:35Let's Play
456.Similarity of neural network representations revisited21:30
457.Automated Vulnerability Detection in Source Code Using Deep Learning (discussions) | AISC21:29Discussion
458.Modern NLP- Additional Processing Topics- Session 4, part 521:14Let's Play
459.Semi Supervised Learning - Session 1221:02
460.Graph Normalizing Flows20:34
461.Machine Learning for Cyber Security - Session 1020:32
462.MLOps: MLflow Hands On, Session 2, part 220:23
463.Semi Supervised Learning - Session 520:11
464.Machine Learning for Cyber Security - Session 320:10
465.An Overview: Sustainability Analysis Framework and Influences of AI on the Sustainability Dimensions19:56
466.Machine Learning for Cyber Security - Session 419:40
467.High Performance Computing on Cloud for Generative AI19:39
468.Semi Supervised Learning - Session 1019:37
469.Climate Action Directed by AI Methodologies19:30Vlog
470.EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis19:26
471.Semi Supervised Learning: Introduction - Session 119:25
472.Machine Learning for Cyber Security- Introduction - Session 619:18
473.Generative AI Tools and Adoption19:13
474.Automatic Evaluation of Dialogue Systems using LLMs18:56Vlog
475.Building a LLM Testing API18:55
476.Semi Supervised Learning - Session 718:52
477.Reducing Gender Bias in Google Translate | Melvin Johnson | AISC Algorithmic Inclusion18:44
478.Semi Supervised Learning - Session 818:43
479.Semi Supervised Learning - Session 1118:40
480.Neural Image Caption Generation with Visual Attention (discussion) | AISC18:38Discussion
481.Intro to Language Model Operations (LLM-Ops)18:06
482.BERT & NLP Explained18:05Let's Play
483.Machine Learning for Cyber Security - Session 1517:22
484.Modern Anomaly and Novelty Detection: Exercise - Session 2517:04
485.Lookahead Optimizer: k steps forward, 1 step back17:02
486.The Importance of Privacy in ChatGPT and LLMs16:52
487.Parallel Collaborative Filtering for the Netflix Prize (results & discussion) AISC Foundational16:47Discussion
488.Semi Supervised Learning - Session 316:25
489.Machine Learning for Cyber Security - Session 816:02
490.Semi Supervised Learning - Session 916:02
491.Extracting Biologically Relevant Latent Space from Cancer Transcriptomes \w VAEs (algorithm) | AISC15:45Vlog
492.[original backprop paper] Learning representations by back-propagating errors (part2) | AISC15:38
493.[Gated-SCNN] Gated Shape CNNs for Semantic Segmentation15:35
494.Building your Product Strategy - A Guide | AISC15:32Guide
495.Machine Learning for Cyber Security: Graphs and ML- Session 1415:29
496.RPA for Enterprises15:10
497.Normie Tools for Validating LLM Outputs14:20
498.AI Product, Part 5: Discovery14:11
499.MLOps: Flask Iris Model Serving, Session 2, part 113:53
500.Competitive Advantage for Startups in era of LLMs13:37