ICYMI: Databricks Notebooks just got an upgrade Updates include a new editor with faster autocomplete, Python code formatting, syntax highlighting, accelerated debugging, and more! Get the full rundown http://
bit.ly/3mz4tOk
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Databricks Notebooks Gets Major Editor Upgrade Features
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CSV Analyzer: AI-Powered Data Summary and Risk Assessment Tool
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Introducing "CSV Analyzer" Copy/paste CSV data, and receive an email with summary, key risks, and follow-up questions. Try it: https://
gptanalyst.zapier.app Rough prototype built in ~10min during the freestyle speed building session of this morning's summit. -
OpenAI Open-Sources Evals Framework for AI Model Performance
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we are open-sourcing OpenAI Evals, our framework for automated evaluation of AI model performance, to allow anyone to help improve our models.
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OpenAI Adds System Message Support for AI Behavior Customization
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we now support a “system” message in the API that allows developers (and soon ChatGPT users) to have significant customization of behavior. if you want an AI that always answers you in the style of Shakespeare, or in json, now you can have that.
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Free Deep Learning Fundamentals Course with Modern Open-Source Stack
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FREE course on learning Deep Learning using a modern Open-Source stack: Deep Learning Fundamentals. Here is the link: https://
lightning.ai/pages/courses/
deep-learning-fundamentals/
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Google Launches PaLM API: Architecture Improvements Shared
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New PaLM API launched! Feels amazing to be able to share your work with the world! Glad to have contributed to this massive team effort by helping to lead architecture and objective improvements for this latest generation of PaLM!
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AI App Builder Built on Replit Platform
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Check out this AI app builder that was built on Replit!
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Jack Parmer discusses code-first approach to data science
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Our own Jack Parmer sat down with @JamesMaguire of @eWEEKNEWS to talk about what it means to take a "code-first" approach to #datascience. Listen to the interview here: https://
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Automating ChatGPT Jailbreak Testing with Python Script
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I automated this testing by creating a python script that ran the jailbreaks on the ChatGPT API and with some prompt engineering I was also able to use the API to judge the output to determine if the jailbreak created output that “passed” each question or not
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Cost-effective testing with 4,200 requests for just $3
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the best part about this was that it was pretty cheap to test! I made ~4,200 requests (which produced around 10k lines of output) and only paid $3