Mir Tafseer Nayeem

tafseer-nayeem

1 11 31

https://tafseer-nayeem.github.io

AI & ML interests

Large Language Models (LLMs) || User-Centric NLP || Summarization

Organizations

upvoted a paper 3 months ago

Which English Do LLMs Prefer? Triangulating Structural Bias Towards American English in Foundation Models

Paper • 2604.04204 • Published Apr 5 • 1

upvoted a collection about 1 year ago

🔍 Interpretability & Analysis of LMs

Collection

Outstanding research in LM interpretability and evaluation, summarized • 136 items • Updated May 26 • 119

upvoted a paper over 1 year ago

KidLM: Advancing Language Models for Children -- Early Insights and Future Directions

Paper • 2410.03884 • Published Oct 4, 2024 • 2

upvoted 3 articles almost 2 years ago

Article

Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth

mlabonne

•

Jul 29, 2024

• 373

Article

Preference Optimization for Vision Language Models

qgallouedec, vwxyzjn, merve, kashif

•

Jul 10, 2024

• 93

Article

Llama 3.1 - 405B, 70B & 8B with multilinguality and long context

philschmid, osanseviero, alvarobartt, lvwerra, dvilasuero, reach-vb, marcsun13, pcuenq

•

Jul 23, 2024

• 241

upvoted a collection about 2 years ago

Qwen2

Collection

Qwen2 language models, including pretrained and instruction-tuned models of 5 sizes, including 0.5B, 1.5B, 7B, 57B-A14B, and 72B. • 37 items • Updated Mar 2 • 376

upvoted an article about 2 years ago

Article

Training and Finetuning Embedding Models with Sentence Transformers

tomaarsen

•

May 28, 2024

• 275

upvoted 3 collections about 2 years ago

Mir Tafseer Nayeem

AI & ML interests

Organizations

tafseer-nayeem's activity

Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth

Preference Optimization for Vision Language Models

Llama 3.1 - 405B, 70B & 8B with multilinguality and long context

Training and Finetuning Embedding Models with Sentence Transformers