Weights & Biases’ Post

This is a very important and impactful update of Collaborative Drug Discovery - CDD Vault

"We want to help clients to improve the quality of the design of their annual report but with the new challenge we are facing with ESEF and, CSRD, we want also to help them to improve the quality of the report and the quality of the data that are provided in those iXBRL reports." – David Boust, Product Manager, with years of experience in XBRL reporting and tagging, is sharing his thoughts on what CtrlPrint is doing to prepare for CSRD. Read David's latest article here: https://lnkd.in/eJQCZjYs #ctrlprint #esef #esrs #csrd #xbrl #corporatereporting #sustainabilityreporting

Evaluating, comparing, and fine-tuning LLMs is key to putting them to work for specific use cases. Learn how you can generate the data required for these processes quickly and easily with Labelbox. https://brnw.ch/21wEX7d

Having trouble finding the data you’re looking for in Veracity Learning, LRS.io's #LRS? This can be resolved by checking the #xAPI data logs to locate the error tied to your data.  Take a look at our video below to revisit the steps on how to build a new statement in your xAPI lab, send the statement to the LRS, and utilize the data logs to find the error corresponding with your missing data. https://lnkd.in/eAMbYrib #elearning #learninganalytics #learningexperiencedesign #edtech #learningengineering #learninganddevelopment #learningdesign #learningsolutions #learnxapi #veracitylrs #xapicohort #learningrecordstore

Cut your K-1 processing cycle from 45 minutes to just 6 with the K-1 Next Gen Reader — a 33% increase in raw processing even while it reads 6 times more fields (including K-3 fields!). #TaxCompliance teams spend less time processing forms and more time on strategic work and client relationships. Unlike other solutions that treat the IRS Schedule K-1 as an afterthought, K1x has a six year head start applying multiple machine learning techniques and models tailored to the unique complexities of K-1 and K-3 reporting. K1xs prepares you for the IRS #PaperlessProcessingInitiativ. https://okt.to/rfovYa

At first look, Blueprint 2 offers brokers two primary pathways for Core Data Record integration: data-first or document-first. We believe aiming for a data-centric approach is advisable, but a well-thought-out transition plan is crucial. Artificial’s Contract Builder is a powerful and comprehensive solution for brokers transitioning from the manual production of MRCs to fully digital contracts in MRCv3 format, compliant with CDR requirements. For a deeper dive, read on: https://lnkd.in/eFFRGvnV #mrcv3 #cdr #lloyds #blueprint2 #bp2

EDIT: At Erin's request I have created feedback item, please give it an upvote! Erin Stellato if this feature does not exist, I would like to request it: The query store built-in dashboard for Top Resource Consumers in SSMS should force the new cardinality estimator. When dealing with DBs on lower CE versions, it times out constantly but if I switch it to the new CE, it works superbly. If I am missing this feature option somewhere, please, educate me on where to find it?

Ditch the downloads, coding, reformatting, and extra subscriptions. Discover how easy data analysis can be with Suzy’s in-platform Data Explorer—now with data cuts by subpopulations! Learn how to quickly go from survey to insight in one connected platform: <https://lnkd.in/eAm2PTsZ> #MRX #ConsumerInsights #DataAnalysis

Not sure about using retrieval augmented generation (#RAG) for your #LLM applications? Get your technical questions answered in our Q&A post — from guidance on when to fine-tune an LLM vs. use RAG to tips on how to secure your data. ➡️Read the FAQ: https://lnkd.in/gzaHJeJa

Using InsightFinder to Anticipate Issues in Critical Finance Applications. Learn how a large financial institution used InsightFinder and ExtraHop to improve time to root cause discovery, SLAs, and customer service. Read more on our blog. #AIOps #incidentprediction #rootcauseanalysis