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

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

Meta just open-sourced HyperAgents — self-referential, self-improving agents that can optimize for any computable task.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Go to https://www.p99conf.io/ for P99 CONF talks on demand and to learn more. . . . . . This talk will discuss why LLM inference is ...

MiniMax M2.7 is the first model showing real signs of self-evolution — it analyzes its own failures, modifies its harness, and ...

Welcome to this video on Regression Analysis in R. This session is designed for beginners and pre-intermediate learners who ...

Curious about the best performance tools for your needs in 2026? This video offers a detailed comparison of NumPy and C++, ...

Download the Practice Kit ⬇ - https://goodly.co.in/how-to-structure-multiple-fact-tables-in-power-bi Learn more about my DAX ...

Learn backtracking — the algorithmic strategy where you build solutions one choice at a time and undo when you hit a dead end.