LIT 1.3 release notes.

PiperOrigin-RevId: 688566572

Dockerfile

@@ -56,9 +56,9 @@ RUN apt update && apt -y install yarn
 # This step is slow as it installs many packages.
 COPY requirements.txt \
      requirements_examples_common.txt \
-     requirements_examples_descai.txt \
+     requirements_examples_discriminative_ai.txt \
      ./
-RUN python -m pip install -r requirements_examples_descai.txt
+RUN python -m pip install -r requirements_examples_discriminative_ai.txt
 
 # Copy the rest of the lit_nlp package
 COPY . ./

RELEASE.md

@@ -1,5 +1,45 @@
 # Learning Interpretability Tool Release Notes
 
+## Release 1.3
+
+This release updates how the Learning Interpretability Tool (LIT) can be
+deployed on Google Cloud. You can now use LIT to interpret foundation
+models—including
+[Gemini](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference),
+[Gemma](https://ai.google.dev/gemma), [Llama](https://www.llama.com/), and
+[Mistral](https://mistral.ai/technology/#models)—using LIT's prompt
+debugging workflows. LIT now provides public container images to make it easier
+to deploy on your hosting platform of choice, with an updated
+[tutorial](https://codelabs.developers.google.com/codelabs/responsible-ai/lit-on-gcp)
+for deploying LIT with [Cloud Run](https://cloud.google.com/run).
+
+### New Stuff
+* LIT on GCP -
+[1075325](https://github.com/PAIR-code/lit/commit/1075325c6a08d8fdef3bcf66f193b8d5aef673fb),
+[1acc868](https://github.com/PAIR-code/lit/commit/1acc868d4a5fa0fd2a135f132f56bb4cb8ba3990),
+[55bfc99](https://github.com/PAIR-code/lit/commit/55bfc993cc27fd25ae5089d58ae822bfeca296a3),
+[180f68a](https://github.com/PAIR-code/lit/commit/180f68ad3774f8b276e262c0dcb7307ad87e42a3),
+[64114d5](https://github.com/PAIR-code/lit/commit/64114d553ffd2c0ffd7bc674fb32a36e564ea0f4),
+[2488aa7](https://github.com/PAIR-code/lit/commit/2488aa7cf8f8a112607ca0c8b40870efde73ec24),
+[9baac29](https://github.com/PAIR-code/lit/commit/9baac29b96970ef7fa64f2f36ce2c79ff73707b7),
+[60bdc7c](https://github.com/PAIR-code/lit/commit/60bdc7cf382bd0c5ead2576c119277230a6080c9),
+[7681476](https://github.com/PAIR-code/lit/commit/7681476d5056d927905f24333b890501a36df040),
+[4c81182](https://github.com/PAIR-code/lit/commit/4c81182a7db1fda7f8ba071a9542876f462a13fa),
+[4e5e8e2](https://github.com/PAIR-code/lit/commit/4e5e8e25c2abb658dc141f0d9c6059dd41e14535),
+[b9a0b82](https://github.com/PAIR-code/lit/commit/b9a0b8210263da9ee6d741e4e0f0444849e3a141),
+[424adce](https://github.com/PAIR-code/lit/commit/424adce9cf8c9cbabdf5d89d485cdc5f3fd098ed),
+[1d019c7](https://github.com/PAIR-code/lit/commit/1d019c7a1bf5f135ea42104889167b79c3f795cd),
+[f4436a2](https://github.com/PAIR-code/lit/commit/f4436a26ed79f481e16e2c53c0551703e7ba8c4f),
+
+### Non-breaking Changes, Bug Fixes, and Enhancements
+* Upgrade LIT to MobX v6. - [c1f5055](https://github.com/PAIR-code/lit/commit/c1f5055eb7ee8b3671484c863a0967c05fa58338)
+* Fix indexing issue in Sequence Salience module. - [58b1d2](https://github.com/PAIR-code/lit/commit/58b1d2b6d0d27c6dca086520cef45bf75466a101)
+* Load multiple model wrappers with shared model. - [ba4d975](https://github.com/PAIR-code/lit/commit/ba4d975a90612b0c41a02b3dcb4dbb548261fdd7)
+* Add the custom model and dataset loaders to prompt debugging notebook. - [338c6b](https://github.com/PAIR-code/lit/commit/338c6b12de98b61287a25650ad2c6ad7f7bb80cd)
+* Convert hosted demos images to multi-stage builds. - [4bf1f8](https://github.com/PAIR-code/lit/commit/4bf1f81666fe546357f00c86a2315d2852346ebe)
+* Adding testing instructions to README. - [f24b841](https://github.com/PAIR-code/lit/commit/f24b841959f0402498a056a5164a86ecae6dbb94)
+* More LIT documentation updates. - [2e9d267](https://github.com/PAIR-code/lit/commit/2e9d26738d9344cde0eebd66d49dfc14cd800e74)
+
 ## Release 1.2
 
 This release covers clean-ups on various obsolete demos, as well as improved
@@ -270,7 +310,7 @@ A full list of contributors to this repo can be found at https://github.com/PAIR
   [a95ed67](https://github.com/PAIR-code/lit/commit/a95ed67100f24163624edb4bb659ccfa871dc9bf)
 * Add output embeddings and attention options to GlueConfig -
   [6e0df41](https://github.com/PAIR-code/lit/commit/6e0df41636405b4ee5556cbf797fcce5887c6070)
-* Allow downloading/copying data from the slice editor - 
+* Allow downloading/copying data from the slice editor -
   [57fac3a](https://github.com/PAIR-code/lit/commit/57fac3aeb98fa49c508b20837eded3f4ec80e8f9)
 * Use new custom tooltip elemement in various places -
   [d409900](https://github.com/PAIR-code/lit/commit/d409900984336d4f8ac73735b1fff57c92623ca4),

lit_nlp/examples/gcp/Dockerfile

@@ -119,9 +119,9 @@ RUN apt update && apt -y install yarn
 # This step is slow as it installs many packages.
 COPY requirements.txt \
      requirements_examples_common.txt \
-     requirements_examples_genai.txt \
+     requirements_examples_generative_ai.txt \
      ./
-RUN python -m pip install -r requirements_examples_genai.txt
+RUN python -m pip install -r requirements_examples_generative_ai.txt
 
 # Copy the rest of the lit_nlp package
 COPY . ./
@@ -157,9 +157,9 @@ RUN apt update && apt -y install yarn
 
 COPY requirements.txt \
      requirements_examples_common.txt \
-     requirements_examples_genai.txt \
+     requirements_examples_generative_ai.txt \
      ./
-RUN python -m pip install -r requirements_examples_genai.txt
+RUN python -m pip install -r requirements_examples_generative_ai.txt
 
 # Copy the rest of the lit_nlp package
 COPY . ./

lit_nlp/package.json

@@ -1,6 +1,6 @@
 {
   "name": "lit-client",
-  "version": "1.2",
+  "version": "1.3",
   "description": "Client app for LIT, the Learning Interpretability Tool",
   "engines": {
     "node": ">=18.0.0"

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "lit-nlp"
 # LINT.IfChange
-version = "1.2"
+version = "1.3"
 # LINT.ThenChange(./lit_nlp/package.json)
 authors = [
   { name="Google, LLC", email="lit-dev@google.com" }