Progress report
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Weekly report, Feb 13-19 2025
Over the last week, we’ve been focussing on two things: images, which are now starting to work quite well, and the beginnings of our ambitious project to refactor the code-base so that the AI can understand it better. Images Sophie has been using the image-generation functionality a great deal over the last few weeks to Continue reading
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Where we are on C-LARA: a Jan 2025 update
We’re now close to the end of the current development cycle for C-LARA, and we should review our priorities before we start on the next one. This post summarises what we’ve done over the last 8-9 months, what we’re currently in the middle of, and what we might do next. What we’ve done Here are Continue reading
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Weekly summary, Oct 24-30 2024
There has been more progress on the new image generation functionality. We submitted an abstract to the 2025 edition of the Conference On Oceanic Languages. Improved image generation I have implemented the idea for improved checking of images that I outlined in last week’s update. When the AI is asked to check whether an image Continue reading
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Weekly summary, Oct 17-23 2024
The new image generation functionality continues to make progress. The Melbourne student teams have nearly finished and appear to have produced useful functionality. Improved image generation I am still focussing on the new image generation functionality, and have reorganised the code to make it easy to run tests and experiment with different variants of the Continue reading
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Biweekly summary, Oct 3-16 2024
The new image generation functionality is now working in standalone mode. We submitted an extended abstract to the ComputEL-8 meeting. Improved image generation The new image generation functionality is now working as standalone code. The basic idea is to create multiple text specifications, then multiple images from each specifications, then use the AI to find Continue reading
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Weekly summary, Sep 26-Oct 2 2024
This week, I’ve been concentrating on rewriting the image generation functionality. Support for non-AI languages now appears to be working quite well. The French Embassy have been helpful about the funding for the New Caledonian projects. Improved image generation The two central functionalities in C-LARA are text annotation and image generation. Following improvement in MWE Continue reading
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Weekly summary, Sep 19-25 2024
I have continued to test the o1-preview model: it’s extremely interesting! The new functionality for non-AI-supported languages is nearly there, and the Melbourne Uni students are making good progress. O1-preview model Here are a couple of nontrivial things I did with the new o1-preview model over the last week: After correctly adjusting the function that Continue reading
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Weekly summary, Sep 12-18 2024
OpenAI have released the new o1 model earlier than expected! This has upended our schedule in a very good way, and I’ve spend most of the week experimenting with it. We have made a bit of progress on some other things as well. O1 model The new o1-preview model, previously known as “Strawberry”, is now Continue reading
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Weekly summary, Sep 5-11 2024
We have made good progress on both adaptation of the reinforcement learning/Chain of Thought idea to C-LARA and support for non-AI languages. A version of the Palgrave Encyclopaedia article has been published as a ResearchGate preprint. Priority list Reinforcement learning and Chain of Thought for MWEs. We have a first version of the core framework in Continue reading
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Weekly summary, Aug 29-Sep 4 2024
We are continuing with two large items from the priority list: adaptation of the reinforcement learning/Chain of Thought idea to C-LARA, and support for non-AI languages. The Palgrave Encyclopaedia article will be published in the EUROCALL proceedings and also as a ResearchGate preprint. Priority list Reinforcement learning and Chain of Thought for MWEs. We have made Continue reading
C-LARA 