Create synthetic data pipelines with easy!
- Retries and caching included
- inference via LiteLLM, vLLM, and popular batch APIs
- asynchronous operations
🔗 URL: buff.ly/ajPRT1l
Create synthetic data pipelines with easy!
- Retries and caching included
- inference via LiteLLM, vLLM, and popular batch APIs
- asynchronous operations
🔗 URL: buff.ly/ajPRT1l
token-explorer is a simple tool that lets you explore different possible paths that an LLM might sample!
- Arrow keys to navigate, pop and append tokens
- View the token probabilities and entropies.
GitHub: buff.ly/FQgsczM
token-explorer is a simple tool that lets you explore different possible paths that an LLM might sample!
- Arrow keys to navigate, pop and append tokens
- View the token probabilities and entropies.
GitHub: buff.ly/FQgsczM
💻 Code agents optimised for software development
🔧 Tool calling agents that create modular, function-driven workflows
🔍 Retrieval agents designed to access and synthesise information
Course: https://buff.ly/4kcj6Ai
💻 Code agents optimised for software development
🔧 Tool calling agents that create modular, function-driven workflows
🔍 Retrieval agents designed to access and synthesise information
Course: https://buff.ly/4kcj6Ai
Got data problems? Relax. Synthetic data is here to help.
Talk: https://buff.ly/3QzoZKj
Got data problems? Relax. Synthetic data is here to help.
Talk: https://buff.ly/3QzoZKj
🔥 Build genuinely useful datasets using natural language!
⚖️ Scale however you need.
🔐 Use them privately or share them with the world!
🧑💻 GitHub: https://buff.ly/49IDSmd
🔥 Build genuinely useful datasets using natural language!
⚖️ Scale however you need.
🔐 Use them privately or share them with the world!
🧑💻 GitHub: https://buff.ly/49IDSmd
1. Describe your desired image🎨
2. Two anonymous models output images
3. Vote for the winner!
Images have been sourced from our Open Image Preference dataset!
Dataset: https://buff.ly/4il0du9
Arena: https://buff.ly/4142NwH
1. Describe your desired image🎨
2. Two anonymous models output images
3. Vote for the winner!
Images have been sourced from our Open Image Preference dataset!
Dataset: https://buff.ly/4il0du9
Arena: https://buff.ly/4142NwH
We just released a bonus unit on function calling (FC).
You will learn:
⑴ What is FC?
⑵ Thought → Act → Observe Cycle in FC
⑶ lightweight and efficient fine-tuning
Course: https://buff.ly/3Qn1DHB
We just released a bonus unit on function calling (FC).
You will learn:
⑴ What is FC?
⑵ Thought → Act → Observe Cycle in FC
⑶ lightweight and efficient fine-tuning
Course: https://buff.ly/3Qn1DHB
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: https://buff.ly/41cYctx
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: https://buff.ly/41cYctx
Join the cohort of 66K students: https://buff.ly/4hxb6rK
Join the cohort of 66K students: https://buff.ly/4hxb6rK
Outlines has an integration with transformers, which facilitates structured generation based on limiting token sampling probabilities.
Blog: https://buff.ly/4jFHMkr
Outlines has an integration with transformers, which facilitates structured generation based on limiting token sampling probabilities.
Blog: https://buff.ly/4jFHMkr
We would love to hear your thoughts!
PR: https://buff.ly/4hRMny6
We would love to hear your thoughts!
PR: https://buff.ly/4hRMny6
smolagents effortlessness combined with the power of 400,000 AI tools available on the Hub!
library: https://buff.ly/4hj6PrJ
smolagents effortlessness combined with the power of 400,000 AI tools available on the Hub!
library: https://buff.ly/4hj6PrJ
And it actually works.
Available in French-English but super excited to see what the community will do.
Hub: https://buff.ly/3EtmM0f
Paper: https://buff.ly/4jIXNGd
And it actually works.
Available in French-English but super excited to see what the community will do.
Hub: https://buff.ly/3EtmM0f
Paper: https://buff.ly/4jIXNGd
Agentic RAG stack part 2 - augment
Augment retrieval results by reranking optimises content without increasing time too much
part2: https://buff.ly/40HkB0x
part1: https://buff.ly/40XNIxM
code: https://buff.ly/4hEajpj
Agentic RAG stack part 2 - augment
Augment retrieval results by reranking optimises content without increasing time too much
part2: https://buff.ly/40HkB0x
part1: https://buff.ly/40XNIxM
code: https://buff.ly/4hEajpj
Mistral drops their new model on Hugging Face!
Great performance, and low latency.
Model: https://buff.ly/4hwAzBa
Code: https://buff.ly/3CEohrF
Mistral drops their new model on Hugging Face!
Great performance, and low latency.
Model: https://buff.ly/4hwAzBa
Code: https://buff.ly/3CEohrF
AI Gradio is a Python package that makes it easy for developers to create AI apps powered by various AI providers.
Code: https://buff.ly/40BDsde
Library: https://buff.ly/3CvOQ2n
AI Gradio is a Python package that makes it easy for developers to create AI apps powered by various AI providers.
Code: https://buff.ly/40BDsde
Library: https://buff.ly/3CvOQ2n
We help you generate it!
- Load from Hub
- Upload your own files
- Generate from a prompt
Space: https://buff.ly/3Y1S99z
Code: https://buff.ly/3PRg4TX
We help you generate it!
- Load from Hub
- Upload your own files
- Generate from a prompt
Space: https://buff.ly/3Y1S99z
Code: https://buff.ly/3PRg4TX
Load the data, use static embeddings, and reupload.
Ready for vector search but might require some reranking.
Library: https://buff.ly/42miwte
Load the data, use static embeddings, and reupload.
Ready for vector search but might require some reranking.
Library: https://buff.ly/42miwte
1.2K distilabel datasets on the Hub https://buff.ly/3PW46si
reproducible and sharable pipelines
any LLM provider
scale however you want
library: https://buff.ly/3MXAB8G
1.2K distilabel datasets on the Hub https://buff.ly/3PW46si
reproducible and sharable pipelines
any LLM provider
scale however you want
library: https://buff.ly/3MXAB8G
Want to know how it works?
Read the blog: https://buff.ly/3CreCES
Want to know how it works?
Read the blog: https://buff.ly/3CreCES
Free for inference!
1K requests for free
20K requests with PRO
Code: https://buff.ly/4glAAa5
900 models more: https://buff.ly/40x1rua
Free for inference!
1K requests for free
20K requests with PRO
Code: https://buff.ly/4glAAa5
900 models more: https://buff.ly/40x1rua
Pass pre-query tokens `<|begin▁of▁sentence|>User: `, let the model generate the rest.
We get realistic examples!
Gist: https://buff.ly/40nPHu0
Library: https://buff.ly/3MXAB8G
Pass pre-query tokens `<|begin▁of▁sentence|>User: `, let the model generate the rest.
We get realistic examples!
Gist: https://buff.ly/40nPHu0
Library: https://buff.ly/3MXAB8G
🐁 Hugging Face proves you wrong and launches SmolVLM 256M & 500M. You can fine-tune it on your laptop and run it on your toaster!
👇
🐘 Beats SOTA 80B from less than 2 years ago!
Model: https://buff.ly/4g9bGur
🐁 Hugging Face proves you wrong and launches SmolVLM 256M & 500M. You can fine-tune it on your laptop and run it on your toaster!
👇
🐘 Beats SOTA 80B from less than 2 years ago!
Model: https://buff.ly/4g9bGur
Want to set up this pipeline yourself?
Read the blog: https://buff.ly/42rNPTG
Want to set up this pipeline yourself?
Read the blog: https://buff.ly/42rNPTG
Now, you can do the same with more nuance by linking blogs to your organisation!
blog: https://buff.ly/3C3IzLe
Now, you can do the same with more nuance by linking blogs to your organisation!
blog: https://buff.ly/3C3IzLe