Batching of inputs Previously, the only interface for calling an LLM was to pass in a single string. With big motivation from @thepromptking, there is now an interface that takes in and returns results for multiple inputs
INNOVATION
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From Boxing Ring to JPMorgan: Data Science Leadership Journey
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From the ring to The Street, Tiffany Perkins-Munn has always employed data to guide her business success. Learn about her journey from TITLE Boxing Club to @JPmorgan in The Finance and Insurance Data Science Innovator's Playbook. https://
domino.buzz/3UH50sH #MLOps -
30 MLOps Requirements: Abacus AI Simplifies Machine Learning Systems
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Building Machine Learning Systems is hard. Here are 30 requirements for an MLOps environment. At @abacusai we worry about this for you. You bring the data, we do the rest. (Source: "Requirements and Reference Architecture for MLOps: Insights from Industry")
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Stock Market Movements in AI: News and Guest Discussion
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3. Whose stock is / Finally, I’ll also be discussing all the interesting news around what’s emerging in the space and whose stock is up or down with a special guest. (Feel free to send me tips – my DM’s are open.)
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Generative AI 101: Understanding Impact and Importance
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2. Generative AI 101 Don’t worry if ‘Generative AI’ is still just a buzzword – I’ll start analysing what it is, why it is important, and how it will change the world. Think of it as ‘GenAI 101.’
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Groq Technology Performance Seminar with Oskar Mencer at EPFL
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Hear how @GroqInc technology makes raw performance easy to use, desirable & affordable while enabling applications at a scale that otherwise would not be achievable. Join Oskar Mencer, CEO of @MaxelerTech, on Dec 16 at 8:15 ET for an @EPFL_en seminar: http://
bit.ly/3WbVBui -
Data Lineage Techniques Improve Efficiency in Complex Ecosystems
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→ @Databand_ai Director of Engineering Niv Sluzki illustrates how different data lineage techniques improve operational efficiency and instill confidence across complex data ecosystems by tracking data origin and transformation: https://
ibm.co/3hmtppM -
YOLOR Outperforms YOLOv7 on COCO Test-Dev Dataset
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Did you know YOLOR performs better on the Coco test-dev set than YOLOv7?
— Satya Mallick (@LearnOpenCV) 14 décembre 2022
YOLOR takes inspiration from how humans combine explicit & implicit knowledge to process previously unseen data.
▶️Check out our blog post to learn more.https://t.co/SUXpFNwMvj#yolor #computervision #ai pic.twitter.com/GcIyHlqr02Did you know YOLOR performs better on the Coco test-dev set than YOLOv7?
YOLOR takes inspiration from how humans combine explicit & implicit knowledge to process previously unseen data. Check out our blog post to learn more. https://
learnopencv.com/yolor-paper-ex
planation-inference-an-in-depth-analysis/
… #yolor #computervision #ai -
AI Transforms Personalized and Preventive Healthcare Solutions
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Many thanks both for sharing, impactful developments for healthcare here! #AI #Personalized #medicine #HealthTech #Preventive