Cerebras is thrilled to host the VIP Reception at the AI Engineers World Fair in SF. Looking forward to a fantastic time with the world's best AI Engineers! June 25th, 2024 6:00pm – 9:00pm View Lounge – 39th floor of the San Francisco Marriott Marquis Sign up to
ENTERPRISE AI
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AI in the Workplace: New Crisis or Longstanding Challenge
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Source for that quote: Opening remarks on “AI in the Workplace: New Crisis or Longstanding Challenge”
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Cohere Enterprise AI Models on Oracle AWS Azure Cloud
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Use Cohere's SDKs with our enterprise-grade models hosted on other cloud platforms including @OracleCloud
, @awscloud
, and @Azure
. See https://
docs.cohere.com/docs/cohere-wo
rks-everywhere
… for documentation and availability. -
Intel Xeon 6 Processor Advances Modern Infrastructure Performance
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Are you ready to embrace modern infrastructure? Meet the Intel® Xeon® 6 processor, known for its significant advancements in performance, efficiency, scalability, and flexibility. At Computex, @Intel CEO @PGelsinger unveiled the Intel Xeon 6 processor and showcased the
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FactSet Enhances AI Workflows with Databricks LLMOps Framework
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FactSet aims to enhance client workflows and productivity with AI. However, the lack of standardized LLM development and LLMOps frameworks posed challenges.
Databricks helped FactSet evolve to an end-to-end AI framework, balancing cost & flexibility. https://
bit.ly/3KGNcLK -
LinkedIn Deploys New Generative AI Features for Premium
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[#Article]
@LinkedIn deploys new generative AI features for its premium subscribers https://actuia.com/actualite/linkedin-deploie-de-nouvelles-fonctionnalites-dia-generative-pour-ses-abonnes-premium/
… #AI #ArtificialIntelligence -
Three Levels of LLM Evaluation Systems for AI Products
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An insightful blog by @HamelHusain on "Your AI Product Needs Evals" – a must-read for anyone looking to construct robust LLM evaluation systems for their applications. Here are the three levels of creating LLM evaluation systems: ✨ Level 1 – Unit Tests: ▪ Write scoped tests like assertion, regex confirmation, etc. ▪ Create test cases (manually or using LLMs). ▪ Run and track tests regularly whenever there is a change in the system. ✨ Level 2 – Human & Model Evaluation: ▪ Log the traces of the LLM and the system. ▪ Manually review traces to check for failures and improvements. ▪ Utilize LLMs as evaluators. ✨ Level 3 – A/B Testing: ▪ Conduct A/B testing of the LLM system against the current baseline system. Dive into the blog for a deeper understanding – hamel.dev/blog/posts/evals/
→ View original post on X — @sudalairajkumar, 2024-06-14 06:44 UTC
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IBM, Microsoft, Amazon: Competitors or Strategic Partners?
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What’s the relationship between companies like #IBM, #Microsoft and #Amazon? Most people’s first instinct might be to say that they’re competitors. They all provide services – #cloud #ecosystems as well as #software and productivity tools.
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Databricks Announces New GenAI and Data Governance Solutions
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A snapshot of new innovations announced at #DataAISummit. New solutions for GenAI, unified governance, data sharing, and more. These include: – Databricks AI/BI
– Unity Catalog OSS
– New Mosaic AI capabilities
– Databricks LakeFlow
– Shutterstock ImageAI https://
dbricks.co/4cbHOMA -
Unity Catalog Advances Open Data Governance and Connectivity
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Today at #DataAISummit we announced cutting-edge advancements to further enhance Unity Catalog capabilities across open accessibility, open connectivity, and unified governance. See what's new in Unity Catalog: https://
dbricks.co/4bYPJwG