Media Summary: see more slides, notes, and other material here: GEPA is a SUPER exciting advancement for DSPy and a new generation of At Ray Summit 2025, Jason Lopatecki from Arize AI shares a new paradigm for iterative model improvement—

Prompt Optimization Using Reinforcement Learning - Detailed Analysis & Overview

see more slides, notes, and other material here: GEPA is a SUPER exciting advancement for DSPy and a new generation of At Ray Summit 2025, Jason Lopatecki from Arize AI shares a new paradigm for iterative model improvement— In this AI Research Roundup episode, Alex discusses the paper: 'GEPA: Reflective In this hands-on tutorial video, I am explaining Reasoning LLMs and SLMs and writing the Group Relative Policy For more information about Stanford's Artificial Intelligence professional and graduate programs visit: To

Ready to become a certified watsonx Generative AI Engineer? Register now and Recorded live at the Agent Engineering Session Day from the AI Engineer Summit 2025 in New York. ai.bythebay.io Nov 2025, Oakland, full-stack AI conference DSPy: Ready to become a certified watsonx AI Assistant Engineer? Register now and And this is everything from pretraining, where you predict the next token, to supervised fine-tuning, to Get access to the ADVANCED-fine-tuning Repo: Consulting (Technical Assistance ...

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit:

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Prompt Optimization using Reinforcement Learning | 360DigiTMG
Optimizing Large Language Models with Reinforcement Learning-Based Prompts
GEPA Explained!
Prompt Learning: A Reinforcement Learning-Inspired Approach to AI Optimization | Ray Summit 2025
GEPA: A New LLM Prompt Optimizer Beats RL
What is Prompt Tuning?
Reinforcement Learning from Human Feedback (RLHF) Explained
Techniques for Automatic Prompt Optimization in LLMs.
How to finetune LLMs to THINK with Reinforcement Learning (GRPO from scratch!)
Stanford CS224N | 2023 | Lecture 10 - Prompting, Reinforcement Learning from Human Feedback
What is Prompt Caching? Optimize LLM Latency with AI Transformers
Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley
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Prompt Optimization using Reinforcement Learning | 360DigiTMG

Prompt Optimization using Reinforcement Learning | 360DigiTMG

Made

Optimizing Large Language Models with Reinforcement Learning-Based Prompts

Optimizing Large Language Models with Reinforcement Learning-Based Prompts

see more slides, notes, and other material here: https://github.com/Aggregate-Intellect/practical-llms/ ...

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GEPA Explained!

GEPA Explained!

GEPA is a SUPER exciting advancement for DSPy and a new generation of

Prompt Learning: A Reinforcement Learning-Inspired Approach to AI Optimization | Ray Summit 2025

Prompt Learning: A Reinforcement Learning-Inspired Approach to AI Optimization | Ray Summit 2025

At Ray Summit 2025, Jason Lopatecki from Arize AI shares a new paradigm for iterative model improvement—

GEPA: A New LLM Prompt Optimizer Beats RL

GEPA: A New LLM Prompt Optimizer Beats RL

In this AI Research Roundup episode, Alex discusses the paper: 'GEPA: Reflective

Sponsored
What is Prompt Tuning?

What is Prompt Tuning?

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Reinforcement Learning from Human Feedback (RLHF) Explained

Reinforcement Learning from Human Feedback (RLHF) Explained

Want to play

Techniques for Automatic Prompt Optimization in LLMs.

Techniques for Automatic Prompt Optimization in LLMs.

Techniques for Automatic

How to finetune LLMs to THINK with Reinforcement Learning (GRPO from scratch!)

How to finetune LLMs to THINK with Reinforcement Learning (GRPO from scratch!)

In this hands-on tutorial video, I am explaining Reasoning LLMs and SLMs and writing the Group Relative Policy

Stanford CS224N | 2023 | Lecture 10 - Prompting, Reinforcement Learning from Human Feedback

Stanford CS224N | 2023 | Lecture 10 - Prompting, Reinforcement Learning from Human Feedback

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To

What is Prompt Caching? Optimize LLM Latency with AI Transformers

What is Prompt Caching? Optimize LLM Latency with AI Transformers

Ready to become a certified watsonx Generative AI Engineer? Register now and

Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley

Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley

Recorded live at the Agent Engineering Session Day from the AI Engineer Summit 2025 in New York.

Bay.Area.AI:  DSPy: Prompt Optimization for LM Programs, Michael Ryan

Bay.Area.AI: DSPy: Prompt Optimization for LM Programs, Michael Ryan

ai.bythebay.io Nov 2025, Oakland, full-stack AI conference DSPy:

RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

Ready to become a certified watsonx AI Assistant Engineer? Register now and

Building a Prompt Optimizer:🦄 #36

Building a Prompt Optimizer:🦄 #36

In this episode, we explore how to

Matei Zaharia - Reflective Optimization of Agents with GEPA and DSPy

Matei Zaharia - Reflective Optimization of Agents with GEPA and DSPy

And this is everything from pretraining, where you predict the next token, to supervised fine-tuning, to

Reinforcement Learning for LLMs in 2025

Reinforcement Learning for LLMs in 2025

Get access to the ADVANCED-fine-tuning Repo: https://trelis.com/ADVANCED-fine-tuning/ Consulting (Technical Assistance ...

Stanford CS230 | Autumn 2025 | Lecture 8: Agents, Prompts, and RAG

Stanford CS230 | Autumn 2025 | Lecture 8: Agents, Prompts, and RAG

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai ...

Planning, Reasoning, and Agents RG, 2026-01-14 Session: GEPA, prompt optimization outperforming RL.

Planning, Reasoning, and Agents RG, 2026-01-14 Session: GEPA, prompt optimization outperforming RL.

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Prompt Optimization and Evaluation for LLM Automated Red Teaming by Telus

Prompt Optimization and Evaluation for LLM Automated Red Teaming by Telus

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