h/t @DermoreLEI for the idea:
LLMS
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ChatGPT constructs a legal contrived checkmate
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ChatGPT o1 pro constructs a legal (though contrived) checkmate position where each player has two pawns and a rook and all light squares are empty
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Llama Models Permissiveness and User Base Restrictions
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FWIW – I do think Llama models are quite a bit permissive, restrictions apply at > 1M user-base. At that ceiling you'd probably have a much much stronger model already 🙂
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OuteTTS and LLM Direction in Text-to-Speech Technology
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Good call – I quite liked OuteTTS recently, thinking the LLM direction is still a bit slept on.
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Simple AI Agents Framework by Abacus AI for Data Integration
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Simple framework for #AI Agents from @AbacusAI
: •Connect to any data source or vector store
•Use a code execution engine
•Orchestrate with other ML models
•LLM-agnostic for flexibility
•Designed for chat or task-based operations Graphic source: https://
abacus.ai/ai_agents -
Llama Stack Building Open Ecosystem and Business Opportunities
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Quite bullish on the whole llama stack – Even if 50% of this wishlist is completed we'd be raising a huge array of open ecosystem, business around it.
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Pre-training Data Diversity Drives Major AI Model Improvements
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I think a lot depends on how much pre-training data went into and how diverse was it – we made a massive jump from the models in 2023 to 2024. I'm quite sure the jump from 2024 to 2025 will be quite significant too!
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Meta Llama Models Overview and GroqCloud Availability Guide
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Too many Llamas to keep track of? Here’s a quick overview of how each of the models in the Meta Llama suite serves end users. Available on GroqCloud, these models are powered by LPUs, designed and manufactured in North America. Start building at https://
hubs.la/Q02-P4mp0. -
Chatbots democratize ancient text translation and rediscovery
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The fact that Rob can toss ancient Tibetan texts into a $20/month chatbot to become one of the first folks to see a translation is bloody remarkable. People asking about hallucinations are missing the point. There's immense latent wisdom waiting to be rediscovered — and
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Abacus AI ChatLLM: Data Science Co-Pilot for ML Workflows
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The future of #DataScience #MachineLearning is now! => Tell the @AbacusAI ChatLLM #AI Assistant ("Data Science Co-Pilot") to:
— Kirk Borne (@KirkDBorne) 8 décembre 2024
—Clean, Visualize & Explore data.
—Create #ML features.
—Train & Deploy models.
—Monitor models in production
🚀
>=> an incredible aid to #DataScientists pic.twitter.com/fNHUrzhjZqThe future of #DataScience #MachineLearning is now! => Tell the @AbacusAI ChatLLM #AI Assistant ("Data Science Co-Pilot") to:
—Clean, Visualize & Explore data.
—Create #ML features.
—Train & Deploy models.
—Monitor models in production >=> an incredible aid to #DataScientists