Check out the first paragraph for the subtle, or not so subtle, request for “AI for good” stories. It’s helpful external PR and marketing, sure, but I’ve also seen these stories inspire INTERNAL employees to rally behind a mission and witness their impact.
AI
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OpenAI Shares Global Insights on Localization and GTM Strategy
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I’ve never seen a trip report publicly shared by a tech company. Very cool move from OpenAI. Interesting notes on localization, data usage, partner ecosystem, and the need for OpenAI to hire more GTM experts. https://
openai.com/blog/insights-
from-global-conversations
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AI Reshaping Database Market Through Recursive Question-Asking
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Big changes are coming to the database market because of AI The recursive movement of question-asking in AI is going to shake things up. https://
thetechnologyletter.com/the-posts/big-
changes-are-coming-to-the-database-market-because-of-ai
… $SNOW $ORCL @databricks @MosaicML $MSFT #database #investing #bigdata #AI -
AI Security Threats and Privacy Risks in Signal Interpretation
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La inteligencia artificial tiene muchas cosas buenas y va a cambiar el mundo como lo conocemos, pero mal utilizada puede crear nuevos problemas de seguridad que atacan nuestra privacidad.
— Juan Merodio (@juanmerodio) 3 juillet 2023
En el vídeo podemos ver cómo la ia es capaz de interpretar las señales de cualquier… pic.twitter.com/8dBw1lKEs1La inteligencia artificial tiene muchas cosas buenas y va a cambiar el mundo como lo conocemos, pero mal utilizada puede crear nuevos problemas de seguridad que atacan nuestra privacidad. En el vídeo podemos ver cómo la ia es capaz de interpretar las señales de cualquier
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Altman Addresses Safety Concerns Beyond GPT-4 Development
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In April 2023, OpenAI CEO Sam Altman spoke at MIT's The Future of Business with AI event. He said, "We are doing other things on top of GPT-4 that I think have all sorts of safety issues that are important to address" Read More: https://
bit.ly/435FsK5 -
SAM: Revolutionary Image Segmentation Model with Unmatched Precision
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🎥New Video:https://t.co/MfidGJzK7w
— Satya Mallick (@LearnOpenCV) 3 juillet 2023
Dive into the specifics of SAM in our latest video – a game-changing image segmentation model with unmatched precision. #AI #ImageSegmentation #AIInnovation #computervision pic.twitter.com/PBvhLh5BjLNew Video: https://
youtube.com/watch?v=mtHEBU
dYRYU
… Dive into the specifics of SAM in our latest video – a game-changing image segmentation model with unmatched precision. #AI #ImageSegmentation #AIInnovation #computervision -
ChatGPT’s Knowledge Cutoff Limitation and Synthetic Data Challenges
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3/3 Intuitively one major criticism of ChatGPT is it's 2020 knowledge cut-off. If you are only using synthetic data from old models, it'd be challenging to get more contemporary knowledge into the model.
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Synthetic Data Generation Limitations in Predictive Model Improvement
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2/2 I think there's been a lot of research on generating synthetic data to boost predictive models (incl. classifiers). The concern is that you'll never be able to generate anything "new" by recycling models (trained on a fixed dataset) that generate synthetic data.
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Clarifying terminology: LMs, LLMs, and MLLMs explained
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The terms are confusing, I know. LMs are language models. LLMs are large LMs. MLLMs are multimodal LLMs where LLMs are treated as the "prime generalization engine". People using MLLMs in papers should probably say LMM(large multimodals) but I guess they append LLMs to take
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Synthetic Data: Predictive Modeling vs Generative Modeling Distinction
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I haven't heard of it yet, but it looks like it's related to generating medical images for image segmentation tasks. Looks like a solid approach. I think a crucial difference though is to distinguish between synthetic data for predictive modeling vs generative modeling 1/2.