Agentic LLMs are evolving – soon they’ll do more than generate code and text. They will master tools, execute complex workflows, and handle intricate tasks. Everything in this graphic done in one go.
LLMS
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Google achieves top AI rankings with Gemini 2.0 and Project Astra
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It's been a good month, #1 on Lmsys chatbot arena, Imagen3, Gemini 2.0, Project Astra, Project Mariner, and Jules. Congrats Google! 😀
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Multimodal Models Unlock Time-Series Data Analysis Power
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Unlocking the power of time-series data with multimodal models https://
bit.ly/4eXGIVr
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Data LLMs: Unlocking Hidden Insights and Generating Automated Data Stories
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Your data has a story to tell. You can use @AbacusAI #DataLLM to detect the patterns in your data, extract hidden insights, and generate data stories, reports, #DataViz, & narratives for you: https://
blog.abacus.ai/blog/2023/08/2
4/data-llm-get-insights-from-your-data/
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#AI #LLMs #MachineLearning #DataScience #GenerativeAI #IoT -
Flash 8B Release: Community Request for Previous Model Access
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Congrats on the release! Are there plans to release the previous Flash 8B? I think it'll be a really helpful research artefact for the community!
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Google Gemini 2.0 Flash Surpasses 1.5 Pro with Native Image Generation
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Gemini 2.0 Flash ⚡️ has arrived!
— Oriol Vinyals (@OriolVinyalsML) 11 décembre 2024
2.0 Flash > 1.5 Pro (again!) 📈
Interacts with a browser 🤖
Native image generation 🖼️
and much more!
Try it out https://t.co/IMN3bqKgJS
As a preview of what is possible, wishing you all a Drastic Holiday powered by 2.0! pic.twitter.com/iHBB4lwXTkGemini 2.0 Flash has arrived! 2.0 Flash > 1.5 Pro (again!)
Interacts with a browser
Native image generation and much more! Try it out
http://
aistudio.google.com/prompts/new_ch
at
… As a preview of what is possible, wishing you all a Drastic Holiday powered by 2.0! -
Smaller AI Models Approaching Human Intelligence Parameters
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“I don't think it's going to require trillions of parameters one day to represent human intelligence.
— Nathan Benaich (@nathanbenaich) 11 décembre 2024
That very likely sits closer to the biological number of somewhere between 80 and 100 billion neurons”.@eisokant of @poolsideai on why models will get smaller on… pic.twitter.com/HqB2pnKvT6“I don't think it's going to require trillions of parameters one day to represent human intelligence. That very likely sits closer to the biological number of somewhere between 80 and 100 billion neurons”. @eisokant of @poolsideai on why models will get smaller on
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Speculation on Anthropic’s Opus-3.5 and AI Scaling Laws
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Are scaling laws still alive? New blog post suggests that @AnthropicAI might have an extremely strong Opus-3.5 already available, but is not releasing it to keep their edge over the competition. – Since the release of Opus-3.5 has been delayed indefinitely, there have been
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Open LLM Leaderboard Gets New Frontend Interface
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The Open LLM Leaderboard got a new front for Christmas
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OAI Spec Compliance: Drop-in Replacement Solution
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Not that I’m aware of, everything is as advertised. Let me know if you encounter any edge cases. P.S. it’s OAI spec compliant so should be drop in replacement