Founder @modelventures, Ex Eng, Product & Marketing @Nvidia, @Twilio, @SnorkelAI. Moonlighting drummer after hours.
Joined April 2009
- Tweets 560
- Following 287
- Followers 306
- Likes 557
73 Photos and videos
26 Feb 2025
In 2024, global venture capital investment in AI startups surged to $131.5 billion, a 52% increase from the previous year, highlighting the immense potential of AI to enhance productivity and transform industries.
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26 Feb 2025
By adopting this oath, investors pledge to uphold integrity, fairness, and responsibility, ensuring that technological advancements benefit humanity as a whole.
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26 Feb 2025
I’m excited to support @govclab initiative with the Mensarius Oath, fostering a more ethical and conscientious investment landscape.
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Devang Sachdev retweeted
7 Mar 2023
We are honored to be named one of America's Best Startup Employers by @Forbes 😊. This award recognizes startup companies that carry out groundbreaking work, invest in employees, and demonstrate strong growth. Read more 👇
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28 Feb 2023
It would take 355 years to train GPT-3 on a single NVIDIA Tesla V100 GPU. Fine-tuning LLMs doesn't take the same amount of compute or data but is by no means a lightweight task. Unsurprisingly, this has led to the emergence of #LLMOps.
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28 Feb 2023
A few key capabilities for LLMOps are:
1. foundation model fine-tuning,
2. iterative training data development,
3. programmatic labeling,
4. weak supervision
5. prompt experimentation,
6. prompt chaining,
7. data synthesis and augmentation,
8. knowledge distillation
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28 Feb 2023
After all, data and language are quickly becoming the interface for programming.
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Devang Sachdev retweeted
18 Jan 2023
2022 was a big year for team Snorkel: we tripled our customer base, introduced programmatic labeling and foundational model innovations, and significantly expanded integrations across the ML stack -- accelerating AI development by 10-100x. 📈businesswire.com/news/home/2…
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Devang Sachdev retweeted
10 Jan 2023
1/ ‘22 was a big year for @SnorkelAI! We
- Introduced new foundation model & data-centric AI paradigms
- More than tripled our customer base, incl. 5/10 top US banks top-10 in 7 other industries, accelerating their AI dev by 10-100x
- Welcomed 40 new Snorkelers
And much more!
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22 Dec 2022
This week @eileenguo @techreview wrote an in-depth story on how photos of a woman on the toilet recorded by Roomba to train ML models ended up on Facebook. Here is how programmatic labeling can minimize the data exposure risk. snorkel.ai/how-programmatic-…
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Devang Sachdev retweeted
20 Dec 2022
True data privacy is not possible with legacy outsourced manual labeling- as this unfortunate example accentuates... technologyreview.com/2022/12…
Programmatic labeling is not just faster and more adaptable- it's private! @SnorkelAI
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16 Dec 2022
In 2022, Snorkel researchers and our academic partners published seven papers pushing the boundaries of foundation models and LLMs for enterprise use. Here is a short summary of each: snorkel.ai/seven-research-pa…
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16 Dec 2022
Also, register for a free virtual summit that will bring together speakers from @Google @CohereAI @StabilityAI @huggingface @Stanford @SnorkelAI and more to discuss enterprise applications of foundation models and large language models (LLMs). snorkel.ai/event/foundation-…
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15 Dec 2022
In an environment where every organization is trying to do more with less, it’s exciting to hear a @SnorkelAI customer say, “Snorkel Flow will literally help us 2x-4x the number of projects we can take on in 2023!!”
More on the impact of Snorkel Flow: snorkel.ai/case-studies/
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13 Dec 2022
Delighted to announce @SnorkelAI’s partnership with @AimpointDigital to build and scale data-centric AI solutions for biopharma, manufacturing, retail, and other major industries👇snorkel.ai/snorkel-ai-partne…
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19 Oct 2022
The rise of foundation models like #gpt3, CLIP, #dalle2, #imagen, #stablediffusion, and many more has been amazing and fun. But getting models into production is about your data. Data is the only thing that doesn’t commoditize.
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19 Oct 2022
Snorkel AI’s view of leveraging data is the way to go--you need a programming abstraction, a way to express, combine, and iteratively correct different sources of data and supervision signal, & ultimately, a way to train a smaller, faster, cheaper deployable model for your task.
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19 Oct 2022
Read more about Foundation Models entering the #datacentricai era by Chris Re and @simran_s_arora: hazyresearch.stanford.edu/bl…
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Devang Sachdev retweeted
30 Sep 2022
Devang Sachdev, @SnorkelAI: On easing the laborious process of labelling data artificialintelligence-news.… #snorkel #ai #data #aiexpo #tech #technology
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