very cool! you should share the fine-tuned model on http://
hf.co/models!
GENERATIVE AI
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Share Your Fine-Tuned Model on Hugging Face
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Google Gemini Now Supports MCP Protocol for AI Agents
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MCP is a good protocol and it's rapidly becoming an open standard for the AI agentic era. We're excited to announce that we'll be supporting it for our Gemini models and SDK. Look forward to developing it further with the MCP team and others in the industry
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Gemini Image-to-Text Capabilities Discussion
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Could you expand on this? Wouldn't e.g. Gemini be able to do image2text natively?
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Google AI Overview Misinterprets ‘It’s Raining Men’ Song
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Google's AI overview really doesn't get what "it's raining men" is actually about.
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Cerebras Delivers 19x Faster Code Generation with Llama 4
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Subsecond code generation in action. 👀
— Cerebras (@cerebras) 9 avril 2025
Same prompt. Same output. Just 19x faster. Cerebras powers the fastest @AIatMeta Llama 4.
Get Access now: https://t.co/isthZ2Xau4 pic.twitter.com/7xzU7Tevf8Subsecond code generation in action. Same prompt. Same output. Just 19x faster. Cerebras powers the fastest @AIatMeta Llama 4. Get Access now: https://
cerebras.ai/build-with-us -

Meta Launches Llama 4 Maverick with Record-Breaking Performance
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What a day We launched @AIatMeta
's #Llama4 Maverick with 655 t/s! Thank you to @ArtificialAnlys Co-Founder & CEO, @_micah_h for verifying -
Llama 4 Scout and Maverick Now Available on GroqCloud with Images
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In case you missed it – Llama 4 Scout and Maverick are live on GroqCloud with image support. Plus the lowest cost without compromise for these new models. pic.twitter.com/wSvqWXRpTS
— Groq Inc (@GroqInc) 9 avril 2025In case you missed it – Llama 4 Scout and Maverick are live on GroqCloud with image support. Plus the lowest cost without compromise for these new models.
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Anthropic Developing ‘Deep Research’ Feature for Claude
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Anthropic keeps working on its version of "Deep Research" (Compas). It looks like users will be able to select between different "Deep" levels to choose how much time Claude should spend on the task. Will Max subscribers get it first?
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Models optimizing their own implementations automatically
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Noted! Maybe the models can start optimizing their own implementations