I will explain it to you in less than 3 Minutes…

If you’ve ever wondered why you don’t see the term “JavaScript” in company names, conferences, or official branding, the answer lies in…

How mindful eating transformed my health and energy through simple, mindful food habits

How to draw them yourself

This week, HackerNoon spotlights Wellfound, a platform connecting startups and job seekers with a focus on transparency.

In the dynamic landscape of software development, achieving clarity is paramount. Enter Behavior-Driven Development, or BDD — a…

Learn how Mattered equips e-commerce brands with advanced strategies for early Black Friday and Cyber Monday preparations, ensuring a successful sales season.

Review related works in prompt optimization, covering methods like soft prompt-tuning, gradient-guided searches, and evolutionary algorithms.

This analysis explores how overfitting affects prompt optimization, discussing its impact on training and test accuracy.

Explore our ablation studies using text-bison and PaLM 2-L to uncover critical design choices in prompt optimization.

Explore the results of prompt optimization on GSM8K and BBH tasks.

Explore the impact of OPRO on LLM performance across GSM8K and BBH benchmarks.

Discover how meta-prompt design enhances prompt optimization for LLMs in tasks like GSM8K.

Explore how OPRO enhances prompt optimization for natural language tasks by maximizing accuracy through innovative setups.

Explore how LLMs perform when faced with the Traveling Salesman Problem (TSP).

How do LLMs perform as optimizers in mathematical optimization?

I don’t feel particularly proud of myself, but when I walk alone into the night, or lie in the shadows, all is well.

Meta-prompts guide LLMs in the OPRO framework, detailing optimization problems and leveraging past solutions.

OPRO leverages large language models (LLMs) to optimize tasks through iterative steps.

Explore how Optimization by PROmpting uses LLMs as derivative-free optimizers reaching up to 50% accuracy improvements over human prompts in complex tasks.

This is a guide that shows you how to containerize and share your dApp using docker and Vite.