Using these models as strategy assistants is maybe the most overlooked value in business right now. I’d pay the $20/month for GPT-4 for its strategic capabilities alone.
TOOLS
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Topic Modeling for Legal Document Classification and Analysis
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9. Legal and Document Analysis: Legal Document Classification: Topic modeling can categorize legal documents, contracts, and case law to assist legal professionals in organizing and retrieving relevant information.
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Brand Monitoring: Track Customer Perceptions Online Discussions
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Brand Monitoring: Organizations can track online discussions related to their brand and products, gaining insights into customer perceptions and addressing issues.
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ChatGPT Expands Custom Instructions Feature to Free Users
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ChatGPT expands ‘Custom Instructions’ to free users. https://
artificialintelligence-news.com/2023/08/10/cha
tgpt-expands-custom-instructions-free-users/
… #ChatGPT #OpenAI #AI #NLP #ArtificialIntelligence #ChatGPT4 #MachineLearning #DeepLearning #Tech #Innovation #FutureTech #ML #IoT #Programming -
La méthode la plus rapide pour construire une interface de chat
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The FASTEST way to build CHAT UI for LLMs pic.twitter.com/4KcDrk51oL
— abhishek (@abhi1thakur) 12 août 2023The FASTEST way to build CHAT UI for LLMs
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Using GPT-4 and Code Interpreter as Photoshop Alternative
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don't have photoshop on this computer so I use gpt-4 & code interpreter instead
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List of Open Source Language Models for Commercial Use
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GitHub – eugeneyan/open-llms: A list of open LLMs available for commercial use.
https://bit.ly/3MG7VRA #AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Boosts Employee Productivity with Moveworks Microsoft Teams
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3 ways Moveworks and Microsoft Teams use AI to improve employee productivity #Office365 #Cloud #Microsoft #TeamCollaboration #MicrosoftCloud #DataIntelligence #Technology #Collaboration https://
microsoft.com/en-us/microsof
t-365/blog/2023/07/10/3-ways-moveworks-and-microsoft-teams-use-ai-to-improve-employee-productivity/?utm_source=dlvr.it&utm_medium=twitter
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Unified codebase leveraging best features across ML frameworks
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Yes, and also: just get the best of each ecosystem. Want to debug in the PyTorch runtime? Sure, you get that. But need to also deploy via TFLite? Sure, you can do both. Want to speed up your code via JAX? Sure, you can. All with one codebase.