This app uses GPT3. If you are a professional in the intelligence community I would appreciate you testing it out. Just beware of limitations and remember, it is a proof of concept! https://
unrestrictedintelligence.com #GPT3 #OpenAI #OSINT #ChatGPT
AI
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GPT-3 App for Intelligence Community OSINT Testing
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Databricks Unity Catalog Identity Federation Security Management
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Balance the need for collaboration without compromising security! #UnityCatalog and Identity Federation on Databricks’ Workspaces address the need for centralized user and privilege management. See how
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H2O AI Recognized as Cutting-Edge Healthcare IT Solution Provider
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Thx, @techguy + @Colin_Hung
, for the shoutout on your @HealthcareScene Podcast. We're thrilled to be part of your 2023 Healthcare IT Predictions as a cutting-edge company that can really solve complex problems of #healthcare. #AI #Automation #ML http://
ow.ly/hgOW50MoyM9 -
Multi-Agent Architecture: Combining DB and Search Tool Patterns
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super interesting. do you imagine a common query pattern to need both the DB and search tool? or will most queries be one or the other? if separate, you could almost make an agent for each tool, and then use those agents as tools themselves in a meta-agent that wraps them
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Android 13 Adopts Rust for Memory Safety Security
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“In Android 13, about 21% of all new native code (C/C++/Rust) is in Rust. There are approximately 1.5 million total lines of Rust code.” https://
security.googleblog.com/2022/12/memory
-safe-languages-in-android-13.html
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MLOps Remediates Key AI and ML Deployment Risks
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There are key risks in deploying #AI and #ML that often get overlooked – including backlogs of underperforming model and model degradation. @nyike at @InfoWorld breaks down how #MLOps remediates these risks, with help from Domino’s Kjell Carlsson.
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Emoji Search API Fixed with Cheaper Ada Model
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https://
emojisearch.app was broken late last year. It has been fixed now and should run faster than before. Also, the backend has been updated to use our latest and cheaper `text-embedding-ada-002` model. -
Independent AI Labs Versus Corporate Research Organizations
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And Google has Google AI, etc. My point is that it’s useful to have an “independent” AI lab in addition to the “corporate” one. (Feel free to disagree, of course. Jeff Dean is not a huge fan of DeepMind, either.)
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Transformer Inference Optimization: Reducing Computational Costs
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Large Transformers are powerful but expensive to train & use. The extremely high inference cost is a big bottleneck for adopting them for solving real-world tasks at scale. Check out my new post on some ideas on inference optimization for Transformers: