Overview
This week’s discussions on meta.discourse.org revolved around exploring new AI models, configuring AI-powered spam detection, managing AI personas and prompts, and leveraging semantic search capabilities. Users shared their experiences with various language models, discussed potential improvements, and sought guidance on optimizing AI features within the Discourse platform.
Interesting Topics
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Don initiated a discussion on Trying out the new AI models, sharing their experiences with models like
grok-2-1212
and Gemini Flash 2. Challenges with language detection, formatting issues, and search capabilities were highlighted. -
Sam announced a new AI-powered Spam detection module in Discourse AI, providing better control over spam scanning. They shared a configuration guide and encouraged users to share their experiences.
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In the topic Configuring and managing AI-powered spam detection in Discourse, Sam provided a comprehensive guide on setting up and customizing the spam detection feature, including LLM selection and contrasting it with AI triage.
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BrianC inquired about the potential timeframe for allowing system prompts to be edited, to which Falco responded, highlighting the challenges and the need for ecosystem maturity.
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MarcP sought assistance with the Semantic Search API, and Sam provided guidance on accessing pure embeddings search and using API keys to bypass rate limits.
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Don requested a Topic AI Summary box closing feature, allowing users to close the summary box by clicking outside it, which awesomerobot acknowledged as a reasonable request.
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MachineScholar inquired about finding all possible variables that can be fed to AI personas, and Falco provided a link to the relevant source code.
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Overgrow reported an issue with changing the ai_embeddings_model in Admin settings, which was subsequently fixed by the Discourse team.
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roniw raised concerns about privacy and data access when using Discourse’s default LLM providers, to which Sam responded, assuring that Discourse LLMs are self-hosted and data is not shared with third parties.
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jordan-violet encountered an Access denied error when trying to access the Azure AI API from Discourse, which was resolved by configuring Azure AI’s networking settings.
Activity
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Don initiated the discussion on Trying out the new AI models, sharing their experiences and seeking advice from MihirR and Sam on improving language detection and search capabilities.
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Sam announced the AI-powered Spam detection module and provided a configuration guide for setting it up, with Falco contributing to the customization instructions.
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BrianC inquired about editing system prompts, and Falco provided insights into the challenges and the need for ecosystem maturity.
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MarcP sought assistance with the Semantic Search API, and Sam provided guidance on accessing pure embeddings search and using API keys.
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Don requested a Topic AI Summary box closing feature, which awesomerobot acknowledged as a reasonable request.
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MachineScholar inquired about finding variables for AI personas, and Falco provided a link to the relevant source code.
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Overgrow reported an issue with changing the ai_embeddings_model, which was subsequently fixed by the Discourse team.
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roniw raised concerns about privacy and data access when using Discourse’s default LLM providers, and Sam provided assurances about Discourse’s self-hosting and data privacy practices.
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jordan-violet encountered an Access denied error when trying to access the Azure AI API from Discourse, which was resolved by configuring Azure AI’s networking settings.
Thanks for reading, and I’ll see you again next week!