Unleash your creativity and create art like never before Introducing Genmo AI, a platform that takes your creative expressions to the next level. (A thread)
AI
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Future of AI: Speaking at T3CHFEST Madrid
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¡BOOOM! NOS VEMOS EN EL T3CHFEST! ¿Qué decir sobre el futuro de la IA cuando parece que ya vivimos en el futuro? Pues os venís a mi charla y echamos el rato. En Madrid, el Viernes 3
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Podcast spécial sécurité : cybersécurité et IA contre ransomware
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New #podcast#Security Special
Doward Wilkinson Sr #productmanager @VeritasTechLLC + #inspiring #DEI stories shared! http://
bit.ly/CyberRecover @techradiottt #Veritas #partner #CyberSecurity @KanezaDian @pchamard @Nicochan33 @ahier @danfiehn #AI #Ransomware #AIOps @Corix_JC -
Text Classification with Hugging Face Transformer Library
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I have taken this simple example of Text Classification to show how to use HF's Transformer Library and the pre-trained models. Will be sharing more detailed content on Hugging Face, its libraries, and how you can utilize them. Stay tuned.
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Quick Guide to Text Classification with Hugging Face Transformers
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If you are into Machine Learning, leveraging existing models is much faster than developing them from scratch. Here's a short tutorial on how you can use Hugging Face Transformer Library to perform Text Classification.
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New York seed funding decline signals startup reckoning ahead
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New York Seed Funding Fell in Q4:
@PrimaryVC
“Many will fail or get acquired,” says
@mattturck
@FirstMarkCap
“The moment of reckoning hasn’t even really started.”
@Work_Bench
@IsabelleBiscuit
#startups #VC #CIO -

Quality Control in Manufacturing: Using Data to Improve Programs
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Quality Control in #Manufacturing: Using #Data to Improve Your Quality Program http://
ow.ly/4XXC50M19qC @ingliguori @GregorianCT1 via @fogoros #sponsored #MM_IIoT #manufacturing #data #digitaltransformation #industry40 #industrialiot #iiot #manufacturingindustry #mfg -
Building Semantic Search Engine with Cohere Documentation
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Want to learn more? Visit our docs page for the complete code walkthrough of building a semantic search engine. https://
docs.cohere.ai/docs/semantic-
search
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Converting Embeddings to Search Indexes with Annoy
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Step 3: Turn the embeddings into indexes Next, we turn each embedding into a search index. For example, we can use a library called “annoy,” created by Spotify, to do nearest neighbor search, which finds the point in a given set that is closest to a given point.
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Embedding Questions Archive Using Cohere API Endpoint
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Step 2: Embed the archive of questions Next, we turn each question into text embeddings using the Cohere Embed endpoint.