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 200 Most Controversial Videos by LLMs Explained - Aggregate Intellect - AI.SCIENCE


Video TitleRatingCategoryGame
101.Graph Neural Networks, Session 4: Simple Graph Convolution0
102.Azure MLops- MLPipeline_MNIST Hands-on- Session II, part 50
103.Machine Learning and Optimization - Deep Random Talks - Episode 170
104.Graph Neural Networks, Session 5: Graph Attention Networks0
105.AI Product, Part 9: Long-term Validation0
106.MLOps: MLflow Hands On, Session 2, part 20
107.Machine Learning and Fraud Detection - Deep Random Talks - Episode 130
108.MLOps: Introduction/Overview, Session 1, part 10
109.Machine Learning for Cyber Security: Graphs in CS - Session 130
110.Machine Learning for Cyber Security - Session 150
111.AI Product, Part 2: Frameworks0
112.Reinforcement Learning in the Real World (with Professor Matthew Taylor)0
113.Learn about Foodshake and it’s vegan recipes!0
114.Private Investing in Deep Tech - DRT - S2 bonus ep - Ft. Moien Giashi, Darryl Kirsch, Hessie Jones0
115.Explainable AI, Session 3: Explainability Options0
116.Reinforcement Learning: Q&A, Closing - Session 160
117.RPA for Enterprises0
118.MLOps: Packaging Overview, Session 1, part 50
119.AI Product, Part 6: Product Team0
120.Azure MLops- Model Deployment- Session III, part 20
121.Azure MLops- Experiment Reproducibility Hands-on II- Session II, part 30
122.AI Product, Part 3: Ideation0
123.Reinforcement Learning - Session 51
124.Jiri Stodulka- Data Scientist and Investor of Aggregate Intellect1
125.Semi Supervised Learning - Session 41
126.What is the relationship between language and intelligence?1
127.Machine Learning for Cyber Security - Session 31
128.Reinforcement Learning: AI Gym Environment - Session 151
129.Reinforcement Learning: Q-Learning - Session 71
130.LLM Pitch Session - Technical Customer Experience and Effective Communication1
131.How Do You choose between training, fine-tuning, and using small models?1
132.An Overview: Sustainability Analysis Framework and Influences of AI on the Sustainability Dimensions1
133.Reinforcement Learning: Policy Gradients - Session 121
134.Building ResearchLLM: automated statistical research and interpretation1
135.Council: A Framework for Developing Generative AI Applications2
136.Reinforcement Learning: Code Walkthrough - Session 31
137.Mathematics of Deep Learning: Linear Algebra III: non-linearities - Session 41
138.Reinforcement Learning: Applications Discussions - Session 141
139.Machine Learning for Cyber Security- Introduction - Session 61
140.Detecting and Correcting Unfairness in Machine Learning | AISC1
141.Parallel Collaborative Filtering for the Netflix Prize (results & discussion) AISC Foundational1Discussion
142.Mathematics of Deep Learning: Gradient descent - Session 111
143.SHERPA - Open Source Project Update, 2023-09-291Vlog
144.Challenges and Solutions for LLMs in Production1
145.Azure MLops- MLops Flow- Session III, part 41
146.Why Collaborative Models are the Future of AI in Agriculture1
147.Role of Human Factors in Adoption of Generative AI in Life Sciences1
148.Product Ideation: From a Hunch to a Concrete Idea1
149.Semi Supervised Learning - Session 121
150.Azure MLops- ML Pipelines- Session III, part 11
151.Generative AI: Ethics, Accessibility, Legal Risk Mitigation1
152.TDLS: Learning Functional Causal Models with GANs - part 2 (results and discussion)1Discussion
153.Eliciting Business Insights at Scale with Conversational AI5
154.Semi Supervised Learning - Session 111
155.Real-time Forecasting & Remote Sensing for AgTech Decision Support (ML in Sustainability at Aquanty)1
156.Machine Learning for Cyber Security: Graphs and ML- Session 142
157.How do you improve your RAG pipeline?3
158.MindfulZen - Data Driven Stress Buster | Workshop Capstone2
159.Neural Search for Augmented Decision Making - Zeta Alpha - DRT S2E172Let's Play
160.guess what's happening!2
161.Semi Supervised Learning - Session 132
162.[original backprop paper] Learning representations by back-propagating errors (part2) | AISC2
163.Semi Supervised Learning - Session 62
164.Modern NLP- Additional Processing Topics- Session 4, part 52Let's Play
165.Reinforcement Learning: Deep Q-Learning Exercise - Session 102
166.Azure MLops- Model Deployment II- Session III, part 32
167.Targeted Machine Learning for Data Science | AISC2
168.Project Update - Building a Live Book2
169.LLMs for Security Compliance Assessment2
170.November 14, 20222
171.Semi Supervised Learning - Session 32
172.Constructing Synthetic Datasets using LLMs5
173.Machine Learning for Cyber Security - Session 52
174.LLMs and Business Workflows1
175.LLMs, Gen AI and Stakeholder Buy-in2
176.Computer v.s. Human visual system | AISC2
177.Reinforcement Learning: Fundamentals II - Session 42
178.Reinforcement Learning: Reinforce Hands-on - Session 132
179.Machine Learning for Cyber Security- Session 22
180.Modern NLP: Review of A Variety of Course Content- Session 4, part 12Let's Play
181.Can Sherpa (multi-agent llm) Handle Multi-modality?2
182.LLM Live Book - Project Update - 2023-08-112Vlog
183.What are the system level considerations for using LLMs?2
184.Grammatical Error Correction for Legal Professionals2
185.How Do You Validate LLM Systems Beyond Benchmarks?2
186.The Business Impact and Challenges of Using Large Language Models2
187.Reinforcement Learning: Deep Q-Learning - Session 82
188.Empirical Rigor in ML5
189.Modern NLP: Walkthrough of Assignment 1-Session 4, part 42
190.Security & Privacy in IoT2
191.Evaluation of Multimodal RAG Systems using the LlamaIndex26
192.What Kind of Risks Are Specific to LLMs?3Discussion
193.LLMs, What Skills to Learn? and What a Time to be Alive!3
194.A review of ML for aerospace systems health management | AISC2Review
195.Reducing Gender Bias in Google Translate | Summary and Takeaways | AISC2
196.Semi Supervised Learning - Session 23
197.Mathematics of Deep Learning: 2D convolutions, pooling, dilated convolutions - Session 73
198.The People, Politics, & Histories Behind Machine Learning Datasets | AISC3
199.Human-Machine Learning Systems: The Sum is Bigger than the Parts (with Professor Matthew Taylor)3
200.Improving Supervised Bilingual Mapping of Word Embeddings | TDLS3