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Monday, March 4, 2024

Clarifai 9.8: Scorching! New Speaking Fashions

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Python SDK

Launched a brand new Python SDK as a Developer Preview

Clarifai-Python-Utils Deprecated

We now have deprecated the Clarifai Python utilities challenge in favor of the Python SDK

  • Ranging from model 9.7.1, Clarifai-Python-Utils is not actively maintained or supported. We strongly suggest transitioning to the Python SDK, obtainable from the 9.7.2 launch onwards, because it presents improved efficiency and a wider vary of options.


Revealed a number of new, ground-breaking fashions

  • Wrapped Claude-Immediate-1.2, a quick, versatile, and cost-effective giant language (LLM) mannequin with improved math, coding, reasoning, and security capabilities.
  • Wrapped Llama2-70b-Chat, a fine-tuned Llama-2 LLM that’s optimized for dialogue use instances.
  • Wrapped StarCoder, an LLM with 15.5 billion parameters, excelling in code completion, modification, and rationalization, particularly centered on Python, whereas additionally sustaining robust efficiency in different programming languages.
  • Wrapped Steady Diffusion XL, a text-to-image technology mannequin that excels in producing extremely detailed and photorealistic 1024×1024 photos.
  • Wrapped Dolly-v2-12b, a 12 billion parameter causal LLM created by Databricks that’s derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K document instruction corpus generated by Databricks workers.
  • Wrapped RedPajama-INCITE-7B-Chat, an LLM skilled on the RedPajama base dataset, and excels in chat-related duties. It leverages context and understanding to generate coherent and contextually related responses.
  • Wrapped Whisper, an audio transcription mannequin for changing speech audio to textual content.
  • Wrapped ElevenLabs Speech Synthesis, a sturdy text-to-speech and voice cloning mannequin for creating reasonable speech and voices.
  • Wrapped GCP Chirp ASR, a state-of-the-art, speech-to-text, speech recognition mannequin developed by Google Cloud.
  • Wrapped AssemblyAI, a speech recognition mannequin that may rapidly flip pre-recorded audio into textual content, attaining human-level accuracy in simply seconds.

AI Help

Added the modern AI help function on the Enter-Viewer display. Now you can use it to generate annotations in your inputs robotically

Now you can request options from any mannequin or workflow obtainable to you on a selected enter. You possibly can then convert the options into annotations.

We fastened the next points to make sure its correct functioning:

  • Mounted a problem that beforehand induced the AI help settings to reset often when switching between inputs. Now, the AI help state stays persistent, making certain a smoother expertise when transitioning between inputs.
  • Mounted a problem that led to app crashes when deciding on a mannequin inside the AI help modal.
  • Mounted a problem that beforehand hindered the group of generated labels, making certain they’re now sorted in descending order based mostly on their idea values.
  • Mounted a problem the place options had been initially displayed with one colour for ideas, however upon refreshing or accepting them, the colour would change.
  • Mounted a problem the place the pen icon failed to look for enhancing the idea listing options.
  • Mounted the suggestion habits in order that when a consumer unchecks the identical checkbox, it returns to being a suggestion as an alternative of being utterly faraway from the listing.
  • We ensured that clicking on the three dots subsequent to every label suggestion persistently opens the proper menu, with none sudden jumps, and shows the menu’s content material as supposed.

Good Object Search

Launched the sensible object search (additionally known as localized search) function    

Now you can use the function to type, rank, and retrieve annotated objects (bounding packing containers) inside photos based mostly on their content material and similarity.

We fastened the next points to make sure its correct functioning:

  • Mounted a problem that beforehand hindered the collection of a bounding field prediction nested inside a bigger bounding field prediction.
  • Mounted a problem that prevented bounding field annotations from being created whereas engaged on a activity.

Analysis Leaderboard

Launched a brand new leaderboard function designed to streamline the method of figuring out the top-performing fashions inside a selected mannequin kind

This function organizes fashions based mostly on their analysis outcomes, making it easy to entry the very best fashions in your chosen standards.

  • Organizational groups now have the potential to effectively uncover fashions tailor-made to a selected activity kind and analysis dataset, permitting them to pinpoint the top-performing fashions effortlessly.
  • Moreover, they will delve deeper into dataset specifics, label info, and mannequin particulars whereas conducting a complete comparability of mannequin performances.

Native Mannequin Add UI

Launched a worthwhile UI function that permits customers to add custom-built fashions instantly from their native improvement environments

  • This performance permits you to share and make the most of domestically skilled fashions on our platform, changing them into Triton fashions effortlessly.
  • Our platform helps broadly used codecs like TensorFlow, PyTorch, and ONNX, making certain compatibility together with your most well-liked improvement instruments.


Added potential to filter inputs and annotations inside the Enter-Supervisor based mostly on the kind of information they include

  • Now you can filter based mostly on whether or not any textual content, picture, video, and/or audio information is contained.
  • Now you can filter based mostly on whether or not any bounding field, polygon, masks, level, and/or span region_info is contained.
  • Now you can filter based mostly on whether or not any frame_info or time_info is contained.

Bug Fixes

  • Mounted a problem with inconsistencies between idea IDs and idea names, which had been inflicting disruptions throughout a number of areas. When creating a brand new idea, its ID now mirrors its identify. As an example, in case you add an annotation to a dataset on the Enter-Supervisor, the annotation ID aligns with its annotation identify.
  • Mounted a problem that prevented the gallery from robotically refreshing when importing inputs on the Enter-Supervisor. Beforehand, there was no automated gallery refresh in an app’s Inputs-Supervisor display throughout enter uploads, particularly when the add progress share modified or when enter processing was accomplished. We fastened the problem.
  • Mounted a problem associated to bulk information importing of various information varieties. While you now add a mixture of information like 50 photos and 5 movies concurrently, the photographs are despatched as a single request, whereas the movies are despatched as separate requests, leading to 5 particular person requests for the 5 movies. Movies are uploaded as one per request. Different enter varieties, together with textual content information, are uploaded in batches of 128 every.
  • Mounted a problem with the visible similarity search function. Beforehand, whenever you clicked the magnifying glass icon situated on the left aspect of a picture, you may not provoke a visible similarity search. We fastened the problem.


Added potential to make use of hotkeys to modify between annotation instruments on the Enter-Viewer

  • We improved the accessibility and value of the Enter-Viewer by including a brand new function that allows using hotkeys on the annotation instruments. For instance, B is for the bounding field instrument, P is for the polygon instrument, and is H for the hand instrument.

Bug Fixes

  • Mounted a problem that prevented a collaborator from creating annotations on the Enter-Viewer. Collaborators can now efficiently create annotations on the Enter-Viewer.


Added potential to make use of hotkeys to modify between annotation instruments on the Enter-Viewer

  • Identical to fashions, workflows, and modules, we have additionally added a datasets choice on the collapsible left sidebar in your personal and group apps.


  • Enhanced the app overview web page by introducing a devoted part that highlights the assets obtainable in your app—datasets, fashions, workflows, and modules.
    • Now, at a look, you possibly can see the variety of every useful resource kind obtainable in an app.
    • For fast motion, you possibly can click on the “add” button so as to add a desired useful resource, or click on the “view” button to see an inventory of the objects obtainable in your chosen useful resource kind.
  • Allowed collaborators to click on the three-dot icon situated on the upper-right part of the app overview web page.
    • Beforehand, this function was solely accessible to the app proprietor, however now, collaborators with the required permissions may also harness its capabilities.
    • Upon clicking the three-dot icon, a pop-up emerges, providing completely different app administration choices.
  • Launched worthwhile enhancements to the app creation course of. Significantly, we added a Main Enter Sort selector within the modal. This selector presents two distinct selections: you possibly can go for Picture / Video as the first enter kind or select Textual content / Doc based mostly on the particular workflow necessities of your software.
  • Made minor enhancements.
    • Eliminated the “NEW” tag from the “Labeling Duties” (beforehand known as “Labeller”) choice on the collapsible left sidebar. It is also now being listed below the AI Lake.
    • Mounted damaged “Study extra…” hyperlinks scattered throughout varied pages that listing assets inside an app.

Bug Fixes

  • Mounted a problem the place creating apps on the Safari internet browser failed. Creating apps on the Safari internet browser now works as desired.
  • Mounted a problem the place the size of an extended app identify exceeded the supplied subject. App names of various lengths can now be accommodated inside the specified subject with out inflicting any show points.
  • Mounted a problem with the search performance for organizational apps. Beforehand, in case you looked for particular apps inside your group, no search outcomes had been returned. We fastened the problem.



  • Transitioned dataset info dealing with for mannequin model creation.
    • Beforehand, dataset information was solely saved in train_info.params.dataset_id and train_info.params.dataset_version_id . We included a further verify for train_info.dataset and train_info.dataset.model within the mannequin kind fields, which take priority if obtainable.
    • We additionally added two new subject varieties, (DATASET and DATASET_VERSION), to switch the older ID-based fields, enabling using precise dataset objects and facilitating compatibility with datasets from different functions sooner or later.
  • Improved the “Use Mannequin / Use Workflow” modal pop-up.
    • While you click on both the “Use Mannequin” or the “Use Workflow” button on the respective mannequin’s or workflow’s web page, a pop-up window will seem.
      • We streamlined the consumer expertise by inserting the “Name by API” tab because the preliminary choice inside this window. Beforehand, the “Use in a Workflow / App” tab held this place, however we prioritized the extra widespread “Name by API” performance for simpler entry.
      • We additionally enhanced accessibility by positioning Python as the first choice among the many programming languages with code snippets.
      • We additionally up to date the code snippets for textual content fashions, setting uncooked textual content because the default choice for making predictions. Predicting by way of native recordsdata and by way of URLs are nonetheless obtainable as optionally available options.

  • Created new mannequin variations for individual detector fashions with out cropping, as cropping is inflicting these fashions to overlook individuals on the margins. We duplicated the prevailing mannequin variations and modified the info supplier parameters to incorporate downsampling, resizing, and padding solely, in alignment with the usual add course of for brand spanking new visible fashions.
  • Improved the presentation of the JSON output generated from mannequin predictions. 
    • Beforehand, the JSON output would prolong past the borders of the show modal display, inflicting inconvenience.
    • We additionally improved the consumer expertise by making the button for copying all of the output contents extra user-friendly and intuitive.

Bug Fixes

  • Mounted a problem that induced an software to crash. Beforehand, in case you clicked the “Use Mannequin” button after which chosen the “Name by API” choice for sure fashions, the applying crashed. We fastened the problem.
  • Mounted a problem the place an sudden pop-up window appeared whereas finishing up varied actions. The rogue pop-up interruption is not seen when including fashions to workflows, when clicking the “Cancel” button whereas selecting the mannequin path, or when creating a brand new app.
  • Mounted a problem the place it was not attainable to view the analysis metrics of previous switch discovered fashions. Beforehand, you may not entry the analysis metrics for older switch studying fashions, because the drop-down menu lacked the choice to pick out a dataset. That limitation utilized to all switch studying fashions that had been skilled and evaluated previous to the implementation of the adjustments on how the analysis metrics work.
  • Mounted a problem the place the base_model for switch studying fashions didn’t show an inventory of the obtainable base fashions. All of the fashions from the bottom workflow that produce embeddings are at the moment listed.



  • Modified the default sorting standards for assets.
    • We modified the default sorting standards for the assets you personal—apps, fashions, workflows, modules, and datasets—to Final Up to date.
    • The default sorting standards for Neighborhood assets remains to be by Star Rely.

Person Account Settings


  • Enabled a consumer’s energetic subscription plan to be seen on the billing web page. Now you can view the proper subscription plan you are enrolled in instantly on the billing web page. It is also included within the drop-down choices in case you want to discover or swap to a different plan.

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