For sure. I've used both and they're both great. I'm slightly more impressed by Meshy at the moment though.
TOOLS
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Using AI-Generated 3D Art Bases for Professional Skill Development
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I still want to get good at 3D art. I'd love to know what I was doing to be able to start with an AI-generated base and then refine it with my own skills.
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OpenAI releases new embedding model for LangChain integration
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OpenAI recently released a new embedding model Check out @mesudarshan
's awesome new video on how to use them as part of LangChain! -
Text-to-3D AI Advances Enable Game-Ready Object Creation
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It's really blowing my mind how far we've come with text-to-3D. It was only a few months ago we were getting very unimpressive results from tools like Shap-E. Now I can make full on objects that are borderline game ready.
— Matt Wolfe (@mreflow) 31 janvier 2024
(This is in @MeshyAI BTW) pic.twitter.com/uzU7PidW4GIt's really blowing my mind how far we've come with text-to-3D. It was only a few months ago we were getting very unimpressive results from tools like Shap-E. Now I can make full on objects that are borderline game ready. (This is in @MeshyAI BTW)
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OpenGPTs YouTube Walkthrough: Hosted Version and Backend Code
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OpenGPTs YouTube walkthrough A proper deep dive into OpenGPTs! Covers two main things: How to use the hosted version
Walkthrough of the code that powers the backend https://
youtube.com/watch?v=HAn9vn
Jy6S4
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Vector Databases Course: Building AI-Powered Applications
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New short course on Building Applications with Vector Databases, taught by @pinecone’s @timt! At the heart of a vector database is the ability to store a collection of vectors and then query against that, meaning input a new vector and find similar ones. This is useful for many… pic.twitter.com/gYDg45r3Yh
— Andrew Ng (@AndrewYNg) 31 janvier 2024New short course on Building Applications with Vector Databases, taught by @pinecone
’s @timt
! At the heart of a vector database is the ability to store a collection of vectors and then query against that, meaning input a new vector and find similar ones. This is useful for many -
H2O AI and Snowflake Reduce Inferencing Costs by 3000%
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We recently made a breakthrough in ml model deployment with our partners at Snowflake that reduces the cost of inferencing by 3000% Check out the full story: https://
medium.com/snowflake/the-
cost-saving-benefits-of-faster-scoring-in-snowflake-with-h2o-ai-0964c8d0c3e9
… #H2Oai #Snowflake #Snowpark #Inferencing #MachineLearning #AI #CostEfficiency -
Website Created with Audio Using DesignerGPT
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The website it created with the audio: https://
designergpt.replit.app/pages/98577371
7407e69ed35ae0bd9edc985d.html#
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Emerging RAG patterns and best practices with DataStax
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While the space is still new, we're starting to see a few common patterns and trends emerge, especially around RAG We've teamed up with our friends at @DataStax to try to codify some of them! https://
t.co/i66mIHgU28 -
ML Algorithms and MLOps: Beyond the LLM Hype
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Amidst all the buzz and hype surrounding LLMs, we want to bring a brief spotlight on ML algorithms. Most algorithms have to do with tabular data and there are multiple steps involved in iterating and maintaining machine learning models in production. Using an MLOps platform