Executable Code Actions Elicit Better LLM Agents
Paper
•
2402.01030
•
Published
•
184
M Almenea
malmenea
·
AI & ML interests
None yet
Recent Activity
upvoted
a
paper
about 1 month ago
Executable Code Actions Elicit Better LLM Agents
liked
a Space
4 months ago
nanotron/ultrascale-playbook
Organizations
upvoted
a
paper
about 1 month ago
liked
a
Space
4 months ago
reacted to
loubnabnl's
post with 🤗
almost 2 years ago
Post
6506
We've just published a detailed blog post on the creation of Cosmopedia dataset. We hope this will provide insights about generating synthetic data at scale for pre-training.
https://huggingface.co/blog/cosmopedia
Here are some key takeaways:
🎯 Prompt curation is crucial: we want to cover many topics with few duplicates.
📚 You can leverage various resources for diversity: using different seed data, generation formats, and target audiences.
⚙️ The importance of a good technical stack: for scalable generations with tools like llm-swarm and fast model training and evaluation.
Have a good read!
https://huggingface.co/blog/cosmopedia
Here are some key takeaways:
🎯 Prompt curation is crucial: we want to cover many topics with few duplicates.
📚 You can leverage various resources for diversity: using different seed data, generation formats, and target audiences.
⚙️ The importance of a good technical stack: for scalable generations with tools like llm-swarm and fast model training and evaluation.
Have a good read!
- 1 reply
upvoted
a
paper
over 2 years ago
liked
a
model
over 2 years ago
