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


Video TitleCommentsCategoryGame
101.Learning Discrete Structures for Graph Neural Networks | AISC2
102.TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing | AISC2Guide
103.The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies2
104.Automated Vulnerability Detection in Source Code Using Deep Learning (algorithm) | AISC2
105.Interpretable Neural Networks for Panel Data Analysis in Economics | AISC2
106.5-min [machine learning] paper challenge | AISC2
107.AI, Democracy, & Disinformation2Guide
108.Optimizing Large Language Models with Reinforcement Learning-Based Prompts2
109.[XAI] Explainable AI in Retail | AISC2
110.Saramsh - Patent Document Summarization using BART | Workshop Capstone2
111.Explainable AI, Session 4: Intro to LIME2
112.ChatGPT - the Chatbot that Follows Instructions - DRT S2E92Tutorial
113.New Directions in Computer Vision2
114.Building a better climate model with Machine Learning | AISC2
115.Building a Quantum Computer with Trapped Ions2
116.Data-Driven Behavior Change and Personalization - DRT S2E102
117.Deploying a News Summarizer RSS Feed App | NLP Workshop Capstone2Let's Play
118.Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT | AISC2
119.Neural Image Caption Generation with Visual Attention (algorithm) | AISC2
120.[Gated-SCNN] Gated Shape CNNs for Semantic Segmentation2
121.Top-K Off-Policy Correction for a REINFORCE Recommender System | AISC2
122.[hgraph2graph] Hierarchical Generation of Molecular Graphs using Structural Motifs | AISC Spotlight2
123.Layerwise Learning for Quantum Neural Networks | AISC2
124.Steve Brunton: Machine Learning for Fluid Dynamics2
125.Climate Risk Exposure Analysis Machine2
126.Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning | AISC2
127.Automated Vulnerability Detection in Source Code Using Deep Learning (discussions) | AISC2Discussion
128.How to Annotate Data for LLM Applications1Guide
129.Semi Supervised Learning: Introduction - Session 11
130.LLM Live Book - Project Update - 2023-08-111Vlog
131.Visualizing Data using t-SNE (algorithm) | AISC Foundational1
132.LLM Starter Pack: A Pragmatic Guide to Success with the Large Language Models1
133.A Fireside Chat with AISC NLP experts1Let's Play
134.AI Product Stream Meet and Greet | AISC1
135.End to end recommender engine using Amazon Glue and SageMaker - Use Case for Data Scientists | AISC1
136.Identifying Influential Individuals in Complex Networks: An Overview | AISC1
137.Learn about Foodshake and it’s vegan recipes!1
138.Running ML Experiments on the Edge1
139.Design for Augmentation (not Automation) | AISC1
140.TMLS2017: Transitioning to Data Science, Panel Discussion1Discussion
141.The Emergence of KnowledgeOps1
142.Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthe1
143.Reinforcement learning in sports analytics | AISC1
144.Quantum generative adversarial networks | TDLS Author Speaking1
145.Semi Supervised Learning - Session 121
146.Benchmarking and Survey of Explanation Methods for Black Box Models | AISC1
147.Data exploration – can machine learning discover new drugs? | AISC1
148.Graph Neural Networks, Session 4: Simple Graph Convolution1
149.Screening and analysis of specific language impairment | AISC1
150.[Word2Bits] Quantized Word Vectors | AISC1
151.[RecSys Challenge 2019 2nd Place] Robust Contextual Models for In-Session Personalization | AISC1
152.Explainable Neural Networks based on Additive Index Models | TDLS1
153.DrWhy.AI - Tools for Explainable Artificial Intelligence | AISC1
154.NLP on Noisy User-generated text - NER for StackOverflow | AISC1Let's Play
155.Getting into Reinforcement Learning - Fireside Chat1
156.Evidential Reasoning Rule Based Feature Selection | AISC1
157.Restricted Boltzmann Machines for Collaborative Filtering | AISC1
158.Recurrent Neural Network for Quantum Wave Function | AISC1
159.Compact Neural Representation Using Attentive Network Pruning | AISC1
160.Modern Innovations in Fine-Tuning Large Language Models1
161.Evaluation of Multimodal RAG Systems using the LlamaIndex1
162.Location Intelligence Products: Goals and Challenges | AISC1
163.Machine Learning in Environmental Science and Prediction: An Overview | AISC1
164.Evaluating Performance of Large Language Models with Linguistics - Deep Random Talks S2E51
165.[WeightWatcher] Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory1
166.Deep learning interpretation of echocardiograms | AISC1
167.Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes1
168.Incorporating Large Language Models into Enterprise Analytics1
169.State of Natural Language Processing in 2019 | AISC1
170.Graph Normalizing Flows1
171.Machine Learning in Mobile Cybersecurity: An Overview1
172.TDLS - Classics: SMOTE, Synthetic Minority Over-sampling Technique (algorithm)1
173.MLOps: Introduction/Overview, Session 1, part 11
174.EVE - Explainable Vector Embeddings - DRT S2E121
175.A Survey of Singular Learning | AISC1
176.GrowNet: Gradient Boosting Neural Networks | AISC1
177.Human Feedback Foundation - LLMs1
178.Overview of Machine Learning for Knowledge Graphs | AISC1
179.[AI Product] How to build products people actually want to use | AISC1Guide
180.ACAI: Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer1
181.BERTology Meets Biology: Interpreting Attention in Protein Language Models | AISC1Vlog
182.5 Commandments of Building LLM Products1
183.ChemOS: An orchestration software to democratize autonomous discovery | AISC1
184.Jiri Stodulka- Data Scientist and Investor of Aggregate Intellect1
185.High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks | AISC1Let's Play
186.​Which Open-source LLM to Choose for Your Task?1
187.Acetock - Stock Prediction Tool for Amateur Investors | Workshop Capstone1
188.Machine Learning and the Earth: Applying AI to address some of the world’s greatest challenges1
189.Private Investing in Deep Tech - DRT - S2 bonus ep - Ft. Moien Giashi, Darryl Kirsch, Hessie Jones1
190.Lookahead Optimizer: k steps forward, 1 step back1
191.TF-Encrypted: Private machine learning in tensorflow with secure computing | AISC Lunch & Learn1
192.[SAGAN] Self-Attention Generative Adversarial Networks | TDLS1
193.You May Not Need Attention | TDLS Code Review1Review
194.Neural Ordinary Differential Equations - part 2 (results & discussion) | AISC1Discussion
195.A Style-Based Generator Architecture for Generative Adversarial Networks1
196.SHERPA - Open Source Project Update, 2023-09-291Vlog
197.Machine Learning in Blockchain - Deep Random Talks - Episode 111
198.guess what's happening!1
199.Hypothesis Generation with AGATHA : Accelerate Scientific Discovery with Deep Learning | AISC1
200.Machine Learning for Cyber Security - Session 111