Model Internals-based RAG Evaluation (MIRAGE) 🌴 is accepted to #EMNLP2024 Main!
➡️ To celebrate, here's our new MIRAGE demo combining @InseqLib and Transformers-specific LRP: huggingface.co/spaces/gsarti/….
Reach out if you want to catch up in Miami! 🤗🏖️
Model Internals-based RAG Evaluation (MIRAGE) 🌴 is accepted to #EMNLP2024 Main!
➡️ To celebrate, here's our new MIRAGE demo combining @InseqLib and Transformers-specific LRP: huggingface.co/spaces/gsarti/….
Reach out if you want to catch up in Miami! 🤗🏖️
Very hyped for the new beautiful viz that just landed in the @InseqLib main branch! 🔥 This will empower users to explore attribution tensors more flexibly and intuitively.
h/t to @_ddjohnson for his awesome work on the treescope toolkit powering this release!
Very hyped for the new beautiful viz that just landed in the @InseqLib main branch! 🔥 This will empower users to explore attribution tensors more flexibly and intuitively.
h/t to @_ddjohnson for his awesome work on the treescope toolkit powering this release!
Thanks to the new treescope integration, @InseqLib now supports interactive visualizations for multidimensional attributions (show_granular), token highlights (show_tokens) and improved viz for attribute_context CLI! 🚀 Install main, will appear in v0.7
x.com/_ddjohnson/sta…
Thanks to the new treescope integration, @InseqLib now supports interactive visualizations for multidimensional attributions (show_granular), token highlights (show_tokens) and improved viz for attribute_context CLI! 🚀 Install main, will appear in v0.7
x.com/_ddjohnson/sta… https://t.co/lm44u1iJXt
🎓 We're thrilled to host Gabriele Sarti (@gsarti_) in our PhD seminar series tomorrow, July 16th, from 12:00-13:00 in Oe67 BU 101! Join us for his talk on interpreting context usage in generative language models, featuring the Inseq toolkit and PECoRe framework. 🕛Don't miss it!
The 🐑 PECoRe / 🌴 MIRAGE demo on @huggingface Spaces is powered by our new attribute-context CLI command released in v0.6, and allows to export the code to reproduce your results locally with 🐛 Inseq.
Check it out ➡️ hf.co/spaces/gsarti/…
The 🐑 PECoRe / 🌴 MIRAGE demo on @huggingface Spaces is powered by our new attribute-context CLI command released in v0.6, and allows to export the code to reproduce your results locally with 🐛 Inseq.
Check it out ➡️ hf.co/spaces/gsarti/… https://t.co/GGo4xVeFZM
Today, we had the first seminar of our #XAI course!
@gsarti_ presented the @InseqLib to interpret LMs and the PECORE framework to identify & attribute context dependence in LMs! 🚀🌟
Thank you, it was so interesting! 🤗
Great start to our series!
gsarti.com/talk/polito-in…
[1/4] Introducing “A Primer on the Inner Workings of Transformer-based Language Models”, a comprehensive survey on interpretability methods and the findings into the functioning of language models they have led to.
ArXiv: arxiv.org/pdf/2405.00208
@InseqLib v0.6 is out now on PyPI! 🔥
New CLI command for context attribution (@gsarti_), new perturbation-based methods by @hmohebbi75
& @casszzx and optimizations incl. multi-gpu support! ⚡️
Huge shoutout to our contributors! ❤️
Release notes ⬇️
github.com/inseq-team/ins…
After two years with Poetry, Inseq just moved to @astral_sh's new blazing fast package manager uv! Our CI installation step is now ~80% faster! 🔥
Congrats to @charliermarsh and the team on the release, and godspeed for the cargo-like experience you are planning to build!
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