Media Summary: I tested Gemma 3 4B vs Ministral 8B on an intent classification task with the same In this talk, Mikhail from Evidently AI guides builders through automated ai.bythebay.io Nov 2025, Oakland, full-stack AI conference DSPy:

Self Supervised Prompt Optimization Label - Detailed Analysis & Overview

I tested Gemma 3 4B vs Ministral 8B on an intent classification task with the same In this talk, Mikhail from Evidently AI guides builders through automated ai.bythebay.io Nov 2025, Oakland, full-stack AI conference DSPy: Planning, Reasoning, and Agents Reading Group 2026-01-14 meeting recording. Dzmitry Pletnikau presents the paper ... In this AI Research Roundup episode, Alex discusses the paper: 'GEPA: Reflective MLflow's optimize_prompts() API lets you automatically refine

Link to our Paper on OpenReview: Link to our Paper on Arxiv: ...

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Self-Supervised Prompt Optimization: Label-Free Tuning at 1% the Cost
Prompt Optimization Changes Which LLM is Best
Automated Prompt Optimization - Mikhail Sveshnikov
Bay.Area.AI:  DSPy: Prompt Optimization for LM Programs, Michael Ryan
Planning, Reasoning, and Agents RG, 2026-01-14 Session: GEPA, prompt optimization outperforming RL.
Using the Prompt Optimization Studio in Opik to Automatically Improve your AI Agents
The Power of Scale: Efficient Prompt Tuning Explained!
Techniques for Automatic Prompt Optimization in LLMs.
Complete DSPy Course | Automatic and Programmatic Prompt Optimization | Complete Course
GEPA: A New LLM Prompt Optimizer Beats RL
Getting Started with Mlflow: Prompt Optimization
CAPO: Cost-Aware Prompt Optimization [AutoML 2025]
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Self-Supervised Prompt Optimization: Label-Free Tuning at 1% the Cost

Self-Supervised Prompt Optimization: Label-Free Tuning at 1% the Cost

Self

Prompt Optimization Changes Which LLM is Best

Prompt Optimization Changes Which LLM is Best

I tested Gemma 3 4B vs Ministral 8B on an intent classification task with the same

Automated Prompt Optimization - Mikhail Sveshnikov

Automated Prompt Optimization - Mikhail Sveshnikov

In this talk, Mikhail from Evidently AI guides builders through automated

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:

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.

Planning, Reasoning, and Agents Reading Group 2026-01-14 meeting recording. Dzmitry Pletnikau presents the paper ...

Using the Prompt Optimization Studio in Opik to Automatically Improve your AI Agents

Using the Prompt Optimization Studio in Opik to Automatically Improve your AI Agents

The next phase of AI is

The Power of Scale: Efficient Prompt Tuning Explained!

The Power of Scale: Efficient Prompt Tuning Explained!

Links : Subscribe: https://www.youtube.com/@Arxflix Twitter: https://x.com/arxflix LMNT: https://lmnt.com/

Techniques for Automatic Prompt Optimization in LLMs.

Techniques for Automatic Prompt Optimization in LLMs.

Techniques for Automatic

Complete DSPy Course | Automatic and Programmatic Prompt Optimization | Complete Course

Complete DSPy Course | Automatic and Programmatic Prompt Optimization | Complete Course

How to code an automatic

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

Getting Started with Mlflow: Prompt Optimization

Getting Started with Mlflow: Prompt Optimization

MLflow's optimize_prompts() API lets you automatically refine

CAPO: Cost-Aware Prompt Optimization [AutoML 2025]

CAPO: Cost-Aware Prompt Optimization [AutoML 2025]

Link to our Paper on OpenReview: https://openreview.net/forum?id=UweaRrg9D0 Link to our Paper on Arxiv: ...

DSPy Explained (Databricks Demo): Build Model-Agnostic Agents + Auto Prompt Optimization (GEPA)

DSPy Explained (Databricks Demo): Build Model-Agnostic Agents + Auto Prompt Optimization (GEPA)

Prompt