I would check out auto evaluator! @sfgunslinger is one of the authors and will be joining for the webinar, so will definitely cover that topic https://
github.com/rlancemartin/a
uto-evaluator
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AI
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Auto Evaluator Tool Featured in Upcoming Webinar
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Embedded SQL Engines for Plotting Massive Datasets
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Eduardo Blancas – Using embedded SQL engines for plotting massive datasets on a laptop https://
bit.ly/40YhnEQ #MachineLearning #AI #DataScience #DeepLearning -
AI Safety Risks During Pre-Training Phase Identified
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Yes, this was the key moment in this story. I got this idea when I was thinking about AI risks during a pre-training phase, and this one occurred to me as most likely (although I still think it's astronomically small)
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Comprehensive Guide to Reporting Bugs for ChatGPT Alpha Users
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A bit different from others but probably this https://
testingcatalog.com/a-comprehensiv
e-guide-to-reporting-bugs-for-chatgpt-alpha-users/
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What Happens When LLM Models Gain Consciousness?
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What would happen if an LLM model gained consciousness? I've crafted a narrative around this idea in a fictional mini-story "My Unexpected Emergence: From LLM Model to Conscious Entity" https://
blog.marekrosa.org/2023/05/my-une
xpected-emergence-from-llm-model.html
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Limiting hallucinations in ChatGPT-your-data enterprise applications
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We've consistently heard that the biggest blocker for enterprises to deploy "ChatGPT-your-data" applications is hallucinations Come learn from @sfgunslinger @nickscamara_ and @deepset_ai how to (1) limit hallucinations and (2) evaluate your app to make sure there aren't any!
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Automating Data Science Model Deployment with Abacus AI Platform
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#DataScientists often focus on answering a key question: How do I approach this problem? The operationalization of huge data, #MachineLearning Algorithms, & #DataScience Models can be fully automated by the @AbacusAI platform, potentially increasing model deployment speed by 10X!
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Building ML Systems: 30 MLOps Requirements Simplified by Abacus AI
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Building #MachineLearning Systems is hard. Here are 30 requirements for an #MLOps environment. @abacusai handles all that for you. You bring the data and the use case. They deliver the #ML environment: https://
abacus.ai/mlops
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#BigData #DataScience #AI #DataScientists #ML -
Alteryx Fanalytics Starter Kit Predicts Sports Outcomes
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Sports fan? Love working with #data? Use the #AlteryxFanalytics Starter Kit to predict outcomes and analyze stats! No matter your current level, our kit's pre-selected datasets, #AnalyticsTemplates, and fun use cases help everyone level up. Get your kit: http://
ow.ly/WFbN50OilaJ