Massively Multilingual Adaptation of Large Language Models Using Bilingual Translation Data
Paper
•
2506.00469
•
Published
•
2
BigScience Workshop
non-profit
AI & ML interests
A one-year long research workshop on large language models: the Summer of Language Models 21 🌸
Recent Activity
View all activity
bigscience's activity
tiedeman
authored
a
paper
2 days ago
Adding `safetensors` variant of this model
#3 opened 4 days ago
by
SFconvertbot
Vassilina
authored
8
papers
9 days ago
DistilWhisper: Efficient Distillation of Multi-task Speech Models via Language-Specific Experts
Paper
•
2311.01070
•
Published
•
2
What Do Compressed Multilingual Machine Translation Models Forget?
Paper
•
2205.10828
•
Published
•
1
SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages
Paper
•
2210.11621
•
Published
•
2
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Paper
•
2211.05100
•
Published
•
32
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting
Paper
•
2212.09535
•
Published
•
1
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model
Paper
•
2212.09811
•
Published
•
1
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
Paper
•
2407.01102
•
Published
Provence: efficient and robust context pruning for retrieval-augmented generation
Paper
•
2501.16214
•
Published
Adding `safetensors` variant of this model
#3 opened 14 days ago
by
SFconvertbot
pminervini
authored
2
papers
15 days ago
teelinsan
authored
a
paper
17 days ago
w11wo
authored
a
paper
17 days ago
jordiclive
authored
2
papers
20 days ago
afaji
authored
a
paper
24 days ago
Muennighoff
authored
a
paper
27 days ago
Post
4209
Ever notice how some AI assistants feel like tools while others feel like companions? Turns out, it's not always about fancy tech upgrades, because sometimes it's just clever design.
Our latest blog post at Hugging Face dives into how minimal design choices can completely transform how users experience AI. We've seen our community turn the same base models into everything from swimming coaches to interview prep specialists with surprisingly small tweaks.
The most fascinating part? When we tested identical models with different "personalities" in our Inference Playground, the results were mind-blowing.
Want to experiment yourself? Our Inference Playground lets anyone (yes, even non-coders!) test these differences in real-time. You can:
- Compare multiple models side-by-side
- Customize system prompts
- Adjust parameters like temperature
- Test multi-turn conversations
It's fascinating how a few lines of instruction text can transform the same AI from strictly professional to seemingly caring and personal, without changing a single line of code in the model itself.
Read more here: https://huggingface.co/blog/giadap/ai-personas
Our latest blog post at Hugging Face dives into how minimal design choices can completely transform how users experience AI. We've seen our community turn the same base models into everything from swimming coaches to interview prep specialists with surprisingly small tweaks.
The most fascinating part? When we tested identical models with different "personalities" in our Inference Playground, the results were mind-blowing.
Want to experiment yourself? Our Inference Playground lets anyone (yes, even non-coders!) test these differences in real-time. You can:
- Compare multiple models side-by-side
- Customize system prompts
- Adjust parameters like temperature
- Test multi-turn conversations
It's fascinating how a few lines of instruction text can transform the same AI from strictly professional to seemingly caring and personal, without changing a single line of code in the model itself.
Read more here: https://huggingface.co/blog/giadap/ai-personas