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360 results

Professor Py: AI Engineering
DSPy in Python: Optimize RAG Prompts Against Eval Metrics

DSPy turns RAG tuning from guesswork into metric-driven optimization—learn a reproducible workflow to tune retrieval and ...

7:50
DSPy in Python: Optimize RAG Prompts Against Eval Metrics

5 views

4 days ago

Warren Powell
The Next Generation of AI: A Universal Framework for Sequential Decision Problems

Large language models have emerged as powerful tools that facilitate the process of humans interacting with computers, but they ...

47:26
The Next Generation of AI: A Universal Framework for Sequential Decision Problems

87 views

6 days ago

Why This in Tech?
NanoGPT: Training AI on a Budget

Learn how NanoGPT makes large language model training accessible and efficient. We explore the architecture, optimization ...

4:04
NanoGPT: Training AI on a Budget

30 views

3 days ago

Discover AI
Can AI Evolve Itself? Topological Graph Self-Learning (HyEvo)

Infinite Graph Topology, Caged AI Self-Evolution: HyEvo. This video (based on the pre-print) represents a vital paradigm shift from ...

24:27
Can AI Evolve Itself? Topological Graph Self-Learning (HyEvo)

2,549 views

3 days ago

AutoSysEng TV: System Architecture & Safety
[SysML V2 #5] Structural Modeling 2 - Usage and Connection

Are you still manually synchronizing your Block Definition Diagrams (BDDs) and Internal Block Diagrams (IBDs)? The structural ...

6:19
[SysML V2 #5] Structural Modeling 2 - Usage and Connection

2 views

5 days ago

Fred de Ruiter
Compiling Certainty
9:14
Compiling Certainty

0 views

5 days ago

AutoSysEng TV: System Architecture & Safety
[SysML V2 #4] Structural Modeling 1 - Definitions (Structure Definitions)

What happens when you try to design a highly complex autonomous electric vehicle using the static diagrams of legacy SysML v1 ...

6:23
[SysML V2 #4] Structural Modeling 1 - Definitions (Structure Definitions)

2 views

5 days ago

AutoSysEng TV: System Architecture & Safety
[SysML V2 #1]  SysML V2 Overview and Basic Philosophy (Intro)

Modern systems engineering has reached its limit with traditional tools. In this introductory video, we explore why SysML V2 is the ...

6:40
[SysML V2 #1] SysML V2 Overview and Basic Philosophy (Intro)

6 views

5 days ago

Information Theory in the Geosciences
Session 67 - AI agent framework for hydrologic modeling

In this session, Songkun Yan, School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA, ...

1:27:25
Session 67 - AI agent framework for hydrologic modeling

54 views

4 days ago

Discover AI
Self Evolving Dual AI Agent System = AutoResearch 2.0 (LSE)

The most elegant thing about LSE (Learning to Self-Evolve) is how it tackles the "credit assignment" nightmare of self-correction ...

27:33
Self Evolving Dual AI Agent System = AutoResearch 2.0 (LSE)

5,255 views

5 days ago

Discover AI
When an AI can Rewrite Itself (Darwin-Gödel HyperAgent)

Meta's HyperAgents: The Science of Self-Rewriting AI. The Illusion of Self-Learning AI: How Meta's HyperAgents Actually Work.

26:54
When an AI can Rewrite Itself (Darwin-Gödel HyperAgent)

3,950 views

4 days ago

BosonQ Psi
BQPhy API Demo Guide: Automating Quantum-Inspired Optimization with Python

Learn how to fully automate your optimization scripts using the BQPhy API. This demo covers the configuration of the main.py file, ...

1:13
BQPhy API Demo Guide: Automating Quantum-Inspired Optimization with Python

2 views

5 days ago

Wolfram U
Computational Social Science with Wolfram Language

This webinar showcases Wolfram Language as a unified solution for social science research and teaching. Find out how you can ...

1:02:28
Computational Social Science with Wolfram Language

136 views

Streamed 2 days ago

Dion Foundas
Why im learning Zig in 2026

Why im learning zig as a math major as my only programming language.

6:05
Why im learning Zig in 2026

35 views

6 days ago

Neural Monk
Partial Derivatives explained (Maths Behind AI)

What are Partial Derivatives and why are they important in Artificial Intelligence? In this video, we visually explain **partial ...

14:32
Partial Derivatives explained (Maths Behind AI)

31 views

6 days ago

Discover AI
GEPA to VISTA: A Human Prompt Is The Most Complex Thing For AI

From GEPA (UC Berkeley) to VISTA. New AI research done on a single NVIDIA RTX 4090. Impressive. After Prompt engineering ...

39:29
GEPA to VISTA: A Human Prompt Is The Most Complex Thing For AI

2,371 views

6 days ago

Sarah Parker
ML 5440 Assignment 2

MLP using 64 combinations of hyperparameters that trained a model to classify images into 20 superclasses.

12:15
ML 5440 Assignment 2

4 views

4 days ago

AINexLayer
The AI That Actually Proves Math: Breaking Down LongCat Flash Prover 🧮🧠

Can an AI build a rigorous, step-by-step logical argument that is absolutely undeniably correct? In this video, we break down ...

6:13
The AI That Actually Proves Math: Breaking Down LongCat Flash Prover 🧮🧠

48 views

6 days ago

Drexel Zhou Robotics Lab
Vision-Language-Action Model Inference Optimization
3:10
Vision-Language-Action Model Inference Optimization

8 views

4 days ago

Qooba
Implementing RoPE: From Mathematical Formula to Triton Code

Learn how to implement Rotary Position Embedding (RoPE) from scratch using OpenAI Triton. In this tutorial, we translate the ...

10:23
Implementing RoPE: From Mathematical Formula to Triton Code

82 views

3 days ago