Thank you to @OlgaNLP
, @moyapchen
, @spencerpoff
, @LukeZettlemoyer
, @CMacota99
, Maryam F. and @real_asli for all of their work to move this space forward with this study!
AI
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Thanking researchers for advancing AI study and progress
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Tech Stack Compatibility Challenges PHP JavaScript Integration
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I consider it but our tech stack is pretty diff which might slow us down if work together, I'm vanilla PHP, he's JS
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Ludwig AI Maintainer Discusses Declarative ML Approaches
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ICYMI: @ludwig_ai maintainer Justin Zhao joined @DataTalksClub to discuss all things declarative #ML. Topics covered:
• State of ML and #AutoML
• Overview of declarative approaches
• Live Ludwig demo
• Rapid config-driven iteration https://
pbase.ai/3HFNSAI #deeplearning -
Interior Design AI Platform Enables Designer Marketplace Model
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People want an interior design They hire interior designer Designer uses http://
interiorai.com to send rough ideas in diff styles based on their current interior People pay desginer Designer pays me Every1 happy -
ChatGPT’s Persuasive Power in Sales and Negotiations
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The potential for ChatGPT and other powerful language tools to persuade people is fascinating and will only improve. And it turns out that some companies are already harnessing the tech for sales and negotiations. My latest story for WIRED:
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Stripe Payment Links: Monetize Without Domain Requirements
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You don't need a domain You need a Stripe account, a Stripe Payment Link And someone buying something and then making the thing
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Elon Musk Twitter acquisition speech moderation challenges
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(welcome to hell) https://
theverge.com/2022/10/28/234
28132/elon-musk-twitter-acquisition-problems-speech-moderation
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Pushing AI Boundaries Towards a Prosperous Future
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Thank you to all of our customers, partners, suppliers, and employees around the world. As we look towards the new year, let's continue to push the boundaries of what's possible with #AI and work towards a brighter, more prosperous future.
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OpenAI Releases New Tokenizer for Accurate Token Usage Estimation
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@OpenAI also released a new tokenizer This makes it possible to more accurately (and quickly) estimate your token usage This is actually extremely helpful for the `collapse` step mentioned above!
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LangChain Updates: Tokenizer, Document Reduction, Better Embeddings
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TL;DR: The new tokenizer allows easy estimation of token usage The `collapse` step allows for map-reducing over large number of documents Better embeddings allows for better searching over those documents https://
github.com/hwchase17/lang
chain
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