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Shetu Mohanto
shetumohanto
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ShetuMohanto
shetumohanto
shetumohanto
AI & ML interests
GenAI | MLOps | AI agent | Computer Vision
Recent Activity
Reacted to
davidberenstein1957
's
post
with ๐ฅ
1 day ago
Introducing the Synthetic Data Generator, a user-friendly application that takes a no-code approach to creating custom datasets with Large Language Models (LLMs). The best part: A simple step-by-step process, making dataset creation a non-technical breeze, allowing anyone to create datasets and models in minutes and without any code. Blog: https://huggingface.co/blog/synthetic-data-generator Space: https://huggingface.co/spaces/argilla/synthetic-data-generator
Reacted to
davidberenstein1957
's
post
with โค๏ธ
1 day ago
Introducing the Synthetic Data Generator, a user-friendly application that takes a no-code approach to creating custom datasets with Large Language Models (LLMs). The best part: A simple step-by-step process, making dataset creation a non-technical breeze, allowing anyone to create datasets and models in minutes and without any code. Blog: https://huggingface.co/blog/synthetic-data-generator Space: https://huggingface.co/spaces/argilla/synthetic-data-generator
Reacted to
lewtun
's
post
with ๐ฅ
1 day ago
We outperform Llama 70B with Llama 3B on hard math by scaling test-time compute ๐ฅ How? By combining step-wise reward models with tree search algorithms :) We show that smol models can match or exceed the performance of their much larger siblings when given enough "time to think" We're open sourcing the full recipe and sharing a detailed blog post. In our blog post we cover: ๐ Compute-optimal scaling: How we implemented DeepMind's recipe to boost the mathematical capabilities of open models at test-time. ๐ Diverse Verifier Tree Search (DVTS): An unpublished extension we developed to the verifier-guided tree search technique. This simple yet effective method improves diversity and delivers better performance, particularly at large test-time compute budgets. ๐งญ Search and Learn: A lightweight toolkit for implementing search strategies with LLMs and built for speed with vLLM Here's the links: - Blog post: https://huggingface.co/spaces/HuggingFaceH4/blogpost-scaling-test-time-compute - Code: https://github.com/huggingface/search-and-learn Enjoy!
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shetumohanto/doctor_Llama-2-7b
Updated
Mar 23
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3
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shetumohanto/doctor_qa_bangla
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Updated
Apr 27
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