Have you used MedGemma? It is a Gemma 3 variant optimized for medical text and image comprehension that might be just what you're looking for.
LLMS
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Shell’s Custom AI Chatbot Trained by NVIDIA NeMo
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Did you know? @Shell
's custom #AI chatbot was trained by NVIDIA NeMo. -
Codex Improvement: A Step Forward for AI Code Generation
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I’ve struggled to get a lot out of Codex, but this is a step in the right direction.
— Matt Shumer (@mattshumer_) 13 juin 2025
I hope others adopt this approach as well. https://t.co/rzd5phyxRFI’ve struggled to get a lot out of Codex, but this is a step in the right direction. I hope others adopt this approach as well.
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Claude Opus Published as Lead Author on arXiv Response Paper
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Claude is now being listed as an author on arXiv papers A response paper to Apple's "Illusion of Thinking" work just dropped with Claude Opus as first author, critiquing their experimental design and arguing the reasoning collapse was actually just token limit constraints.
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Codex now generates 4 responses at once
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Codex can now generate multiple responses (up to 4) simultaneously! https://t.co/9cvULtuTa2 pic.twitter.com/k4NWNaaZiF
— 🚨 AI News | TestingCatalog (@testingcatalog) 13 juin 2025Codex can now generate up to 4 responses simultaneously!
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Top 10 AI Innovations Transforming 2025 Across Industries
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Top 10 AI Innovations Reshaping 2025: 1. AI + Quantum Computing
2. Reinforcement Learning
3. Explainable AI
4. Language Modeling
5. AI in Healthcare
6. AI in Drug Discovery
7. AI in Cybersecurity
8. AI in Metaverse
9. AI in Big Data
10. AI in Agriculture & Transport Save -
ChatGPT Now Allows Users to Select Model for GPT
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You can now choose what model runs your GPT in ChatGPT. Super useful
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LLM Architecture: Separating Data from Logic
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Actually, no. We have an architecture that separates data and logic. The LLM often never sees the data at all. Read more:
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Fine-tuning as continued pretraining improves medical AI
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Your daily reminder that fine tuning is just continued pretraining. Super cool results from @antoine_chaffin who is putting this knowledge into practice to improve medical AI: