Get started with Meta’s Segment-Anything-Model 2 (SAM2) on Databricks! This #DatabricksCommunity technical post covers experimentation with SAM2 in a Databricks Notebook, expanding on the default examples by using custom notebook cells for visualization. https://
dbricks.co/4hcABPw
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Getting Started with Meta’s SAM2 on Databricks
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What Deep Learning Models Learn in Genomics
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When we train deep learning models for genomics, what do they learn? To help answer this question, we examined the DeepVariant model to determine what insights it has developed, and we discovered some surprising concepts embedded within. Read more at https://
goo.gle/4eUGNdg -
AI as a Game-Changer for African Development
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Why AI might be a game-changer for Africa
#AI #AIio #BigData #ML #NLU #Futureofwork @TunstallAsc @StrategyFintech @TamaraMcCleary @TerenceLeungSF @psb_dc @thomaspower @vinod1975 @ylecun -
Databricks Introduces Batch Inference for LLM Model Serving
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Introducing batch inference on Mosaic AI Model Serving: a simpler, faster and more scalable way to apply LLMs to large documents. With this release, run batch inference directly within your workflows – with full governance through #UnityCatalog. https://
dbricks.co/48pltdx -
Embed 3 State-of-the-Art Multimodal Embedding Model Released
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Embed 3 is the most generally capable multimodal embedding model, featuring state-of-the-art accuracy on various retrieval tasks to unlock real-world business value.
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AI Security: Personal Data and Foundation Model Vulnerabilities
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Instead of crafting solutions for hypothetical harms, we advocate focusing on already existing and very significant safety issues–namely AI’s reliance on personal data & the vulnerabilities created by foundation models' use in nat’l security. 2/
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Narwhals: Widespread Adoption Among Indirect End Users
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How Narwhals has many end users … that never use it directly. – Marco Gorelli https://
bit.ly/3ZJRyub
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Only 34% of AI Practitioners Feel Properly Equipped
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Despite increased investments in AI, organizations continue to struggle to generate business value with AI.
— DataRobot (@DataRobot) 22 octobre 2024
Our new survey of over 700 AI practitioners reveals only 34% feel fully equipped with the tools necessary to meet their business goals.
”As existing and emergent AI use… pic.twitter.com/sS5hir9qeCDespite increased investments in AI, organizations continue to struggle to generate business value with AI. Our new survey of over 700 AI practitioners reveals only 34% feel fully equipped with the tools necessary to meet their business goals. ”As existing and emergent AI use
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Making Data Analytics Accessible to All Employees
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Building a #DataDriven organization requires easy access for all employees, regardless of technical skills. Attend #AlteryxVirtualSummit to learn from experts like Srinivasa Gopal Sugavanam, VP & Data Analytics Practice Head of @Infosys
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ow.ly/Nvzc50TIpmZ -
Building LLM Twins: End-to-End Practical Guide with MLOps
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It's centered around an end-to-end practical example to build an LLM Twin. We show how to collect data, transform it, train models, build an advanced RAG pipeline around them, and deploy the result on AWS. All of this using best practices from MLOps.