C-LARA
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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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o1-preview and o1-mini now available in C-LARA
I have installed support for the two new OpenAI models o1-preview and o1-mini in C-LARA. They are based on Chain-of-Thought reasoning trained using reinforcement learning, and appear to be considerably smarter than gpt-4o. Y0u can select them from the Edit configuration information screen in the usual way: Based on some preliminary testing, I would not 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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Multi-Word Expressions/Islam
I recompiled GPT-4’s charming story Finley the kitten converts to Islam using the latest version of C-LARA. While checking the result, I was impressed to see that the Chain-of-Thought Multi-Word Expression annotation phase had, without any prompting from me, decided that “the Prophet Muhammad (PBUH)” was a multi-word expression, following which the glossing phase had 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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New GPT-4 model available in C-LARA
OpenAI released a new version of GPT-4o last month, the catchily titled gpt-4o-2024-08-06; it is considerably cheaper to use than standard GPT-4o., details here. I have just updated the C-LARA configuration menu to make it available and also set GPT-4o as the default model. If you want to change the GPT-4 model you’re using, first 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
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Weekly summary, Aug 22-28 2024
We are making progress on adapting the reinforcement learning/Chain of Thought idea to C-LARA and on support for non-AI languages. The Melbourne students are continuing to develop their projects, with encouraging results. The Palgrave Encyclopaedia article will be published elsewhere. Priority list Reinforcement learning and Chain of Thought for MWEs. I have been discussing with Francis Continue reading
C-LARA 