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@modelcontextprotocol/server-puppeteer
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MCP server for browser automation using Puppeteer
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davidberenstein1957ย
updated
a
Space
3 days ago
davidberenstein1957ย
published
a
Space
4 days ago
davidberenstein1957ย
updated
a
Space
4 days ago
davidberenstein1957ย
published
2
Spaces
4 days ago
davidberenstein1957ย
posted
an
update
4 days ago
Post
2061
๐ฅ Text2SQL, explore and share any data analysis!
๐ค Hugging Face - Dataset Studio is an amazing new feature.
๐ Start yourself: fka/awesome-chatgpt-prompts
๐บ YouTube: https://youtu.be/5LUZq7MHolA?feature=shared
๐ค Hugging Face - Dataset Studio is an amazing new feature.
๐ Start yourself: fka/awesome-chatgpt-prompts
๐บ YouTube: https://youtu.be/5LUZq7MHolA?feature=shared
davidberenstein1957ย
posted
an
update
5 days ago
Post
4083
๐ฅ Epic Agent Framework Showdown! Available today!
๐ต In the blue corner, the versatile challenger with a proven track record of knowledge retrieval: LlamaIndex!
๐ In the red corner, the defender, weighing in with lightweight efficiency: Hugging Face smolagents!
๐ URL: https://huggingface.co./agents-course
We just published the LlamaIndex unit for the agents course, and it is set to offer a great contrast between the smolagents unit by looking at
- What makes llama-index stand-out
- How the LlamaHub is used for integrations
- Creating QueryEngine components
- Using agents and tools
- Agentic and multi-agent workflows
The team has been working flat-out on this for a few weeks. Supported by Logan Markewich and Laurie Voss over at LlamaIndex.
Who won? You decide!
๐ต In the blue corner, the versatile challenger with a proven track record of knowledge retrieval: LlamaIndex!
๐ In the red corner, the defender, weighing in with lightweight efficiency: Hugging Face smolagents!
๐ URL: https://huggingface.co./agents-course
We just published the LlamaIndex unit for the agents course, and it is set to offer a great contrast between the smolagents unit by looking at
- What makes llama-index stand-out
- How the LlamaHub is used for integrations
- Creating QueryEngine components
- Using agents and tools
- Agentic and multi-agent workflows
The team has been working flat-out on this for a few weeks. Supported by Logan Markewich and Laurie Voss over at LlamaIndex.
Who won? You decide!
davidberenstein1957ย
posted
an
update
6 days ago
Post
2920
๐ซธ New release to push vector search to the Hub with vicinity and work with any serialisable objects.
๐งโ๐ซ KNN, HNSW, USEARCH, ANNOY, PYNNDESCENT, FAISS, and VOYAGER.
๐ Example Repo: minishlab/my-vicinity-repo
๐งโ๐ซ KNN, HNSW, USEARCH, ANNOY, PYNNDESCENT, FAISS, and VOYAGER.
๐ Example Repo: minishlab/my-vicinity-repo
davidberenstein1957ย
posted
an
update
26 days ago
Post
3280
๐ Find banger tools for your smolagents!
I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools
Space: davidberenstein1957/smolagents-and-tools
I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools
Space: davidberenstein1957/smolagents-and-tools
- 1 reply
davidberenstein1957ย
posted
an
update
27 days ago
Post
2467
Fine-tune Deepseek-R1 with a Synthetic Reasoning Dataset
Blog: https://huggingface.co./blog/sdiazlor/fine-tune-deepseek-with-a-synthetic-reasoning-data
Blog: https://huggingface.co./blog/sdiazlor/fine-tune-deepseek-with-a-synthetic-reasoning-data
davidberenstein1957ย
posted
an
update
about 1 month ago
Post
2070
Agentic RAG: Applied, visual, and step-by-step! ๐พ
Get familiar with the Agents and tools, not the bells and whistles!
Retrieve - Augment and now GENERATE.
part 3: https://huggingface.co./blog/davidberenstein1957/ai-blueprint-agentic-rag-part-3-generate
Get familiar with the Agents and tools, not the bells and whistles!
Retrieve - Augment and now GENERATE.
part 3: https://huggingface.co./blog/davidberenstein1957/ai-blueprint-agentic-rag-part-3-generate
davidberenstein1957ย
posted
an
update
about 1 month ago
Post
2873
Anyone can create free hosted tools for their AI agents! ๐ฅ
Agentic RAG stack part 2 - augment
Augment retrieval results by reranking optimises content without increasing time too much
part2: https://huggingface.co./blog/davidberenstein1957/ai-blueprint-agentic-rag-part-2-augment
code: https://github.com/huggingface/ai-blueprint
Agentic RAG stack part 2 - augment
Augment retrieval results by reranking optimises content without increasing time too much
part2: https://huggingface.co./blog/davidberenstein1957/ai-blueprint-agentic-rag-part-2-augment
code: https://github.com/huggingface/ai-blueprint
davidberenstein1957ย
posted
an
update
about 1 month ago
Post
2004
Creating an agentic RAG stack on the Hugging Face Hub - part 1 - retrieval (1/5).
๐ Web apps and microservices included!
Chunk, embed and index documents at a huge scale without overhead.
Blog: https://huggingface.co./blog/davidberenstein1957/ai-blueprint-agentic-rag-part-1-retrieve
๐ Web apps and microservices included!
Chunk, embed and index documents at a huge scale without overhead.
Blog: https://huggingface.co./blog/davidberenstein1957/ai-blueprint-agentic-rag-part-1-retrieve
davidberenstein1957ย
posted
an
update
about 1 month ago
Post
1630
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 DuckDBโs 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 DuckDBโs 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
davidberenstein1957ย
posted
an
update
about 1 month ago
Post
1805
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
<๏ฝbeginโofโsentence๏ฝ>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
davidberenstein1957ย
posted
an
update
about 2 months ago
Post
1890
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
davidberenstein1957ย
posted
an
update
about 2 months ago
Post
1259
You can now use the "Synthetic Data Generator" at a much larger scale with your preferred inference engine: Ollama, vLLM, TGI, and serverless inference! ๐ฅ
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
davidberenstein1957ย
posted
an
update
about 2 months ago
Post
2115
๐ฆ 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
davidberenstein1957ย
posted
an
update
2 months ago
Post
1953
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
davidberenstein1957ย
posted
an
update
2 months ago
Post
2037
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