There are also multiple AI models but I would not say the number of products has anything to do with it. It is more about the quality of an AI model and the way how it is being used
LLMS
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Upcoming conversational mode update for AI app
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Their iOS app is definitely being prepared for a new update for its conversational mode
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User testing AI photo recognition model capabilities
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The photo recognition is already working but is a bit unstable. But I feel like I am testing it with a general GPT4 while it will come with a different model which wasn't announced yet
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LLaMA 3 Model Outperforms GPT-4 on Classification Tasks
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A few days ago, a team released a model/product (trained on LLaMA 3) that beat GPT-4 at classification tasks for training data generation. Anyone remember the name?
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Meta Llama3 on Databricks: Open Source LLM Customization
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Meta #Llama3 on Databricks is a major milestone for organizations looking to tap into the flexibility of open source and customize their own LLMs. Create high-quality, production-scale #GenAI apps using the best model for your use case:
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Groq to Showcase LPU Inference Engine at ISC24 Conference
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#ISC24 starts tomorrow. Can't wait to see you at booth M19 and demo the #LPU ™ Inference Engine delivering “Wow!” performance at scale for #LLMs and other #GenAI solutions.
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Updates to AI Conversational Mode on iOS
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They are definitely polishing their conversational mode on iOS (new camera option / lite mode, finally)
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RAG Trustworthiness Scores: Evaluating LLM Response Accuracy
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RAG with Trustworthiness scores! Even with sources/citations, it can be challenging to determine the accuracy of a generated RAG response right away. Cleanlab offers an impressive “Trustworthy Language Model” that assigns a trustworthiness score to each answer generated by
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Native iOS Apps and Client-Side LLM Implementation
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A native iOS app that does client-side LLM would have to do same so no diff here
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Client-Side AI Execution: GPU and Model Size Constraints
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Essentially there's nothing you can NOT run client-side now The only limit is GPU size and model size to download