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AI Blueprint
AI & ML interests
A blueprint for AI development, focusing on applied examples of RAG, information extraction, analysis and fine-tuning in the age of LLMs.
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davidberenstein1957
updated
a
Space
4 days ago
davidberenstein1957
posted
an
update
4 days ago
Post
1491
tldr; Parquet is awesome, DuckDB too!
Datasets on the Hugging Face Hub rely on parquet files. We can interact with these files using DuckDB as a fast in-memory database system. One of DuckDB’s features is vector similarity search which can be used with or without an index.
blog:
https://huggingface.co/learn/cookbook/vector_search_with_hub_as_backend
Datasets on the Hugging Face Hub rely on parquet files. We can interact with these files using DuckDB as a fast in-memory database system. One of DuckDB’s features is vector similarity search which can be used with or without an index.
blog:
https://huggingface.co/learn/cookbook/vector_search_with_hub_as_backend
davidberenstein1957
posted
an
update
7 days ago
Post
1725
Let's uncover the post-training dataset from DeepSeek-R1 with Magpie!
Pass pre-query tokens
We can get realistic examples!
Gist: https://gist.github.com/davidberenstein1957/3f20046ce57395a6aba13f8b4e956b59
Pass pre-query tokens
<｜begin▁of▁sentence｜>User: , let the model generate the rest.We can get realistic examples!
Gist: https://gist.github.com/davidberenstein1957/3f20046ce57395a6aba13f8b4e956b59
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- 6 replies
davidberenstein1957
updated
2
Spaces
11 days ago
davidberenstein1957
updated
a
Space
12 days ago
davidberenstein1957
updated
a
collection
12 days ago
davidberenstein1957
updated
a
dataset
12 days ago
davidberenstein1957
published
a
dataset
12 days ago
davidberenstein1957
updated
a
collection
12 days ago
davidberenstein1957
published
a
Space
12 days ago
davidberenstein1957
posted
an
update
13 days ago
Post
1857
The RAG's in the bag!
You can now use the Synthetic Data Generator with your own domain-specific seed data to generate a dataset for fine-tuning retrieval or reranking models.
GitHub: https://buff.ly/49IDSmd
Spaces: https://buff.ly/3Y1S99z
Blog: https://huggingface.co/blog/sdiazlor/fine-tune-modernbert-for-rag-with-synthetic-data
You can now use the Synthetic Data Generator with your own domain-specific seed data to generate a dataset for fine-tuning retrieval or reranking models.
GitHub: https://buff.ly/49IDSmd
Spaces: https://buff.ly/3Y1S99z
Blog: https://huggingface.co/blog/sdiazlor/fine-tune-modernbert-for-rag-with-synthetic-data
- 1 reply
davidberenstein1957
posted
an
update
17 days ago
Post
1235
You can now use the "Synthetic Data Generator" at a much larger scale with your preferred inference engine: Ollama, vLLM, TGI, and serverless inference! 🔥
Install, configure, launch!
Space: argilla/synthetic-data-generator
Examples: https://github.com/argilla-io/synthetic-data-generator/tree/main/examples
Install, configure, launch!
Space: argilla/synthetic-data-generator
Examples: https://github.com/argilla-io/synthetic-data-generator/tree/main/examples
davidberenstein1957
posted
an
update
20 days ago
Post
2099
🔦 What? The Hub as a vector search backend!
code: https://gist.github.com/davidberenstein1957/f0157a471ec59d9dd44ae6957f1d52ec
build on DuckDB: https://huggingface.co/docs/hub/en/datasets-duckdb
code: https://gist.github.com/davidberenstein1957/f0157a471ec59d9dd44ae6957f1d52ec
build on DuckDB: https://huggingface.co/docs/hub/en/datasets-duckdb
davidberenstein1957
posted
an
update
about 1 month ago
Post
1941
Fine-tune a SmolLM on domain-specific synthetic data from a LLM
Blog: https://huggingface.co/blog/davidberenstein1957/fine-tune-a-smollm-on-synthetic-data-of-llm
Blog: https://huggingface.co/blog/davidberenstein1957/fine-tune-a-smollm-on-synthetic-data-of-llm
- 1 reply
davidberenstein1957
posted
an
update
about 1 month ago
Post
2009
Fine-tuning ModernBERT for text classification using synthetic data generation
From prompt to model in 3 steps.
1 dataset description
20 minutes of generating
60 minutes of fine-tuning on my Macbook Pro
Tutorial: https://nbsanity.com/static/552eb50cbd91bedb4e5b73fddca2664a/fine-tune-modernbert-classifier.html
From prompt to model in 3 steps.
1 dataset description
20 minutes of generating
60 minutes of fine-tuning on my Macbook Pro
Tutorial: https://nbsanity.com/static/552eb50cbd91bedb4e5b73fddca2664a/fine-tune-modernbert-classifier.html