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Gemini 2.0 Pro Experimental is here, and it’s Google’s most advanced AI yet! But how does it perform in real-world reasoning tasks? In this video, I dive into early testing of Gemini 2.0 Pro, exploring its reasoning abilities, coding capabilities, multimodal features, and groundbreaking AI tools like code execution and Google Search grounding.
Model Features Covered:
Multimodal AI: Native image understanding & generation
2M token context window – one of the longest in the industry!
Grounding with Google Search for real-time, up-to-date information
Function calling for AI agents & structured output support
Benchmark speculations – is this Google’s strongest AI model yet?
Related Topics & Keywords:
#Gemini2 #GoogleGemini #Gemini2Pro #AIReasoning #GeminiVsGPT4 #ArtificialIntelligence #MachineLearning #LLM #TechNews
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What do you think about Gemini 2.0 Pro Experimental? Will it challenge GPT-4, Claude, or Mistral? Drop your thoughts in the comments below!
LINKS:
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https://github.com/cpldcpu/MisguidedAttention
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Timestamps:
00:00 Introduction to Gemini 2.0 Pro Experimental
00:24 Model Capabilities and Initial Impressions
01:44 Detailed Feature Breakdown
04:16 Coding Tests and Performance
08:27 Reasoning Capabilities and Thought Experiments
16:34 Conclusion and Final Thoughts Read More Prompt Engineering
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