Sorry I'm too busy working on tweeting about Meg working on tweeting about working by tweeting
@clementdelangue
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Choosing the Best AI Model: Use Case Driven Approach
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Asking “what’s the best model?” is like asking “what’s the best code base?”, there’s no good generic answer, it depends highly on your use case, constraints, and current tech stack! Ultimately the best one will be the one you can train, optimize, control and customize the fastest
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Universal ORL IBM Partnership Announcement at Think 2023
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Should @UniversalORL have a mascot or am I doing the job? Having fun meeting with the @IBM family who we just announced a big partnership with. Thanks for the invitation! #Think2023
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HuggingFace Launches Multi-Modal Agent API Chaining 100K Models
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Excited to announce our multi-modal agent API that can automatically chain 100,000+ of HF models (stable diffusion, whisper, OpenAssistant,…) for text, audio, image, video, time-series,… based on your commands. All open-source so it can work locally! https://
huggingface.co/docs/transform
ers/transformers_agents
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Humans Control AI Systems Like Software: Rejecting Unfounded Fears
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Humans decide what AI systems do just like humans decide what software systems do (in fact you can replace AI by software in your tweet). AI is just a new paradigm to build tech and it’s not helpful for the public debate to spread robocop/terminator fears IMO!
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Netflix Documentary Series Concept for Startup Ecosystem
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« Formula 1 Netflix show but for startups » when? @humairawins can direct
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Building In-House AI Models for Competitive Advantage
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To me the main argument is that by training & optimizing your own models, you actually build the skills, IP and ownership to differentiate and thrive long-term as a company. It's like learning how to write your own code versus using a no-code tool for website creation.
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Open Assistant Credits AI Model Training Organization
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Thanks for sharing Sharon! Wanted to correct that Open Assistant is the organization that trained and released the model powering the chat. You can find more information about their team for credit attribution here: https://
open-assistant.io/team -
HuggingChat efficiency critique raises questions about AI tool performance
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Might have been faster to write the tweet myself #huggingchat