09:00

Retrieval-Augmented Generation: Transforming AI with Integrated Information Retrieval

09:01

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

52:50

Machine Intelligence: From Turing Test to LLMs | Chapter 5: Ethical Dimensions of AI Evaluation

26:40

Machine Intelligence: From Turing Test to LLMs | Chapter 4: Quantifying Creativity and Novelty

21:39

Machine Intelligence: From Turing Test to LLMs | Chapter 3: Measuring Reasoning Abilities in LLMs

23:50

Machine Intelligence: From Turing Test to Large Language Models | Chapter 2: The Lovelace Test

19:08

Machine Intelligence: From Turing Test to Large Language Models | Chapter 1 Introduction

05:07

AI Book Review | Machine Intelligence: From Turing Test to Large Language | Mohamed Medhat Gaber

05:42

AI Research Radar | Towards a Personal Health Large Language Model

06:16

AI Research Radar | MinPrompt: Graph-based minimal prompt data augmentation for few-shot Q/A

06:37

AI Research Radar | BIOCLIP: A Vision Foundation Model for the Tree of Life

07:45

AI Research Radar | Using Generative AI to Investigate Medical Imagery Models and Datasets

06:48

AI Research Radar | Large Language Models Must Be Taught to Know What They Don’t Know

07:01

The Roots of AI: Transformers (2017)

13:17

AI Research Radar | LLM-Coordination | LLMLingua-2: Data Distillation | Stream of Search (SoS)

06:01

The Roots of AI: Capsule Networks (2017)

14:02

AI Research Radar | Take It, Leave It, or Fix It | Private Federated Discovery of OOV Words | SAMMO

07:01

The Roots of AI: Generative Adversarial Networks (2014)

14:37

AI Research Radar | Alpha LLM: Self-Improvement of LLMs | Automated Social Science | ACTIVE RAG

06:21

The Roots of AI: AlphaGo (2014)

12:30

AI Research Radar | Mixture-of-Depths | Can Contrastive Learning Refine Embeddings? | BLINK

06:15

The Roots of AI: Word2Vec (2013)

07:32

The Roots of AI: AlexNet (2012)

15:32

AI Research Radar | Social Learning | Heuristic Reasoning in AI | MEGAVERSE: Benchmarking LLMs

05:08

Module 6: Wavelets and Time-Frequency Analysis

07:37

The Roots of AI: Dropout (2012)

11:33

AI Research Radar | Your Large Language Model Is Secretly A Capable Regressor | Patchscopes | SOAR

06:36

Module 5: Filtering and Filtering Techniques

11:12

The Roots of AI: ImageNet (2009)

14:02

AI Research Radar | GROUNDHOG | Efficient Infinite Context Transformers with Infini-attention | GOEX

04:59

Module 4: Frequency-Domain Analysis

08:20

The Roots of AI: Isolation Forest (2008)

17:59

AI Research Radar | OPENTAB | LLMs in the Imaginarium | LLM2Vec

04:21

Module 3: Time-Domain Analysis

09:07

The Roots of AI: Affinity Propagation (2007)

10:37

AI Research Radar | Correcting Language Model | Multimodal Healthcare AI | Towards Greener LLMs

04:57

Module 2: Sampling and Quantization

08:54

The Roots of AI: Deep Boltzmann Machines (2006)

14:39

AI Research Radar | LRE in Transformer LMs | Fewer is More: Boosting LLM Reasoning | MED-FLAMINGO

04:04

Module 1: Introduction to Signal Processing

08:15

The Roots of AI: Deep Belief Networks (2006)

16:15

AI Research Radar | Unified Embeddings | ScreenAI | Large-scale Screening of Barrett’s Esophagus

05:51

Module 8: Applications of Linear Algebra in AI

06:28

The Roots of AI: Latent Dirichlet Allocation (2003)

05:50

Module 7: Principal Component Analysis (PCA)

08:38

The Roots of AI: Conditional Random Fields (2001)

06:08

Module 6: Singular Value Decomposition (SVD)

06:15

The Roots of AI: Random Forests (2001)

06:27

Module 5: Eigenvalues and Eigenvectors

09:14

The Roots of AI: Hoeffding Trees (2000)

06:47

The Roots of AI: PageRank (1998)

06:36

Module 4: Vector Spaces and Subspaces

06:28

The Roots of AI: Long Short-Term Memory (1997)

08:29

Module 3: Systems of Linear Equations

08:51

The Roots of AI: DBSCAN (1996)

06:02

The Roots of AI: Boosting (1996)

05:12

Module 2: Matrix Operations

06:15

The Roots of AI: Deep Blue (1996)

05:32

The Roots of AI: Bagging (1994)

04:29

Module 1: Introduction to Linear Algebra