A collection of pre-training datasets samples of sizes 10M, 100M and 1B tokens. Ideal for use in quick experimentation and ablations.
Asankhaya Sharma PRO
codelion
AI & ML interests
Creator of OptiLLM, OpenEvolve, Adaptive Classifier, and Ellora. Pioneering a new category in AI infrastructure: inference-time compute for LLMs.
Recent Activity
reacted
to
their
post
with ❤️
2 days ago
Introducing OpenEvolve Prompt Optimizer - a Space that automatically evolves and optimizes your prompts using OpenEvolve!
This tool uses OpenEvolve to iteratively improve prompts by testing them on real datasets and evolving better versions. No more manual prompt engineering guesswork - let OpenEvolve find the optimal prompts for you.
How it works:
- Enter your initial prompt using {input} as a placeholder for dataset inputs
- Input any HuggingFace dataset name you want to use for optimization
- Specify the dataset split and field names for your use case
- Click Optimize Prompt and the system will validate everything first
- Compare your initial prompt vs the evolved best prompt side-by-side
Try it here: https://huggingface.co/spaces/algorithmicsuperintelligence/prompt-optimizer
OpenEvolve GitHub: https://github.com/algorithmicsuperintelligence/openevolve
reacted
to
their
post
with 👀
2 days ago
Introducing OpenEvolve Prompt Optimizer - a Space that automatically evolves and optimizes your prompts using OpenEvolve!
This tool uses OpenEvolve to iteratively improve prompts by testing them on real datasets and evolving better versions. No more manual prompt engineering guesswork - let OpenEvolve find the optimal prompts for you.
How it works:
- Enter your initial prompt using {input} as a placeholder for dataset inputs
- Input any HuggingFace dataset name you want to use for optimization
- Specify the dataset split and field names for your use case
- Click Optimize Prompt and the system will validate everything first
- Compare your initial prompt vs the evolved best prompt side-by-side
Try it here: https://huggingface.co/spaces/algorithmicsuperintelligence/prompt-optimizer
OpenEvolve GitHub: https://github.com/algorithmicsuperintelligence/openevolve
reacted
to
their
post
with 🚀
2 days ago
Introducing OpenEvolve Prompt Optimizer - a Space that automatically evolves and optimizes your prompts using OpenEvolve!
This tool uses OpenEvolve to iteratively improve prompts by testing them on real datasets and evolving better versions. No more manual prompt engineering guesswork - let OpenEvolve find the optimal prompts for you.
How it works:
- Enter your initial prompt using {input} as a placeholder for dataset inputs
- Input any HuggingFace dataset name you want to use for optimization
- Specify the dataset split and field names for your use case
- Click Optimize Prompt and the system will validate everything first
- Compare your initial prompt vs the evolved best prompt side-by-side
Try it here: https://huggingface.co/spaces/algorithmicsuperintelligence/prompt-optimizer
OpenEvolve GitHub: https://github.com/algorithmicsuperintelligence/openevolve
Organizations
Pivotal Token Search (PTS) identifies tokens in a language model's generation that significantly impact the probability of success
All models, datasets and tools related to https://securade.ai
A collection of pre-training datasets samples of sizes 10M, 100M and 1B tokens. Ideal for use in quick experimentation and ablations.
Ellora: Enhancing LLMs with LoRA - Standardized Recipes for Capability Enhancement
Pivotal Token Search (PTS) identifies tokens in a language model's generation that significantly impact the probability of success
Internal Coherence Maximization (ICM): A Label-Free, Unsupervised Training Framework for LLMs
All models, datasets and tools related to https://securade.ai