ChatGPT is testing a read-aloud button on the web 👀
— 🚨 AI News | TestingCatalog (@testingcatalog) 21 février 2024
h/t @btibor91 https://t.co/U7VRyw63eF pic.twitter.com/JOlPMOTjT7
ChatGPT is testing a read-aloud button on the web h/t @btibor91
LLMS
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ChatGPT testing new read-aloud feature on the web
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Do LLMs Lie? Understanding Intent and Deception in AI
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Lies are deliberate and require intention which an LLM does not have
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Model Tuning Choices Shape AI Inaccuracies and Outputs
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I guess my understanding is all inaccuracies are in some way a result of tuning choices made by model creators. And this one is just particularly visible and visceral to (some) humans..
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LLM Inaccuracies and Representation Bias in AI Systems
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Inaccuracies obviously an issue. But haven’t we all agreed LLMs make mistakes? I haven’t seen this sort of reaction for any other errors. Outrage directed at things like Arab mathematicians in 17c or female soldiers, as if these things are an affront
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IBM WatsonX Foundation Models LangChain Integration for Business
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@IBM WatsonX Foundation Models for Business Dive into IBM WatsonX's powerful foundation models with our LangChain integration! Leverage WatsonX's AI and data platform, built specifically for business applications. Begin your journey today with the `langchain-ibm` python
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Adapters: The Future of LLMs – Fine-tuning Discussion
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Last Chance to Save Your Spot: 5 Reasons Why #Adapters are the Future of #LLMs. Join an interactive discussion w/ @DalianaLiu + @GeoffreyAngus on all things fine-tuning, #opensource LLMs and adapter-based training. Bring your questions! https://
pbase.ai/3uDChy7 -
SnapLogic Launches GenAI Builder for Enterprise Workflows
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Watch now on-demand the recording of the @SnapLogic GenAI Builder launch event: https://
snaplogic.com/resources/webc
asts/introducing-genai-builder?utm_source=TW&utm_medium=SOC&utm_campaign=2024_0117_ONL_CORP_GenAIBuilder-Webinar
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…Other panelists and I discuss the impacts of #GenerativeAI and #LLMs on workflows, processes, products & services for multiple enterprise use cases and lines of business. -
Faster Model Serving Supercharges AI Reflection Capabilities
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Nice! Reflection is going to be super charged when models are served much faster / groqed
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Image Understanding in AI Assistants: Multimodal Capabilities
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Image understanding works well for a variety of tasks. For instance, you can upload a photo and ask Assistant to describe it, attach a graph and have GPT-4 explain the data, or even add a picture of a dish and ask Mistral Medium to share the recipe for it. (2/3)
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Deep dive into Gemma tokenizer and SentencePiece implementation
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Seeing as I published my Tokenizer video yesterday, I thought it could be fun to take a deepdive into the Gemma tokenizer. First, the Gemma technical report [pdf]: https://
storage.googleapis.com/deepmind-media
/gemma/gemma-report.pdf
… says: "We use a subset of the SentencePiece tokenizer (Kudo and Richardson, 2018) of