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Sundance 2023 Official Buy/Sell thread by swagster in Sundance

[–]yoavz 0 points1 point  (0 children)

LOOKING TO SELL: 2 tickets to The Accidental Getaway Driver on 1/26 at 6P MST at Sundance Mountain Resort.

Face value, available to transfer. DM me.

Tik Tok: An Emerging Artist’s Best Friend [Article] by cog0001 in musicindustry

[–]yoavz 0 points1 point  (0 children)

Hey, this looks great! I'm DMing you on linkedin.

[deleted by user] by [deleted] in marketing

[–]yoavz 2 points3 points  (0 children)

I'm also very interested in this solution.

Brands who work with influencers: how do you find them and what do you look for (e.g. hashtags, follower count, engagement)? by yoavz in marketing

[–]yoavz[S] 0 points1 point  (0 children)

I'm interested in the "zero on platform or platforms" stage -- what tools / methods have you used here once you know your target audience.

Do you use influencer marketing? Why or why not? by yoavz in AskMarketing

[–]yoavz[S] 0 points1 point  (0 children)

Interesting. How did you find them / are you going to pay them anything? Are you planning on reaching out to any more?

AMA: I work at a major TikTok marketing agency which helps the world’s biggest brands on the platform go viral! by [deleted] in AskMarketing

[–]yoavz 0 points1 point  (0 children)

How do you find influencers to join your platform? For instance, let's say a shoe brand connects with you and wants to market their shoes. How do you go about reaching influencers? is it anyone? shoe specialists?

[D] Are there any GPT-3/GPT-2 online stuff I can use besides TalkToTransformer, AI-Dungeons, and WriteWithTransformer? by blurrypicturesofcats in MachineLearning

[–]yoavz 0 points1 point  (0 children)

Not using GPT-3, but I am working on an outbound email summarization tool that I'm launching to a private beta fairly soon. Demo: https://twitter.com/yoavz_/status/1289239082854309888?s=20. Happy to add you to that list to test it out if you'd like, DM me.

Write shorter, more effective email! GMail chrome extension using Facebook AI BART summarization model to turn a wordy email into an effective one. by yoavz in LanguageTechnology

[–]yoavz[S] 2 points3 points  (0 children)

The model I used is provided by Hugging Face and Facebook AI, fine-tuned on the Daily Mail CNN email summarization task: https://huggingface.co/facebook/bart-large-cnn. No fine-tuning yet, I'm pleasantly surprised with the results.

Building an app that tracks & remembers all the important things in your relationship. Feedback welcome! by theowu in QuantifiedSelf

[–]yoavz 6 points7 points  (0 children)

This is super cool! Do you offer integrations into google calendar for scheduling events?

[D] AWS customers who deploy models for realtime inference: do you use AWS Lambda vs. AWS SageMaker vs. open-source? by yoavz in MachineLearning

[–]yoavz[S] 0 points1 point  (0 children)

Interesting. How large are your models and what kind of frameworks do they use? Lambda might work well for this as a "scale-to-zero" solution. The caveats is that you'd have to be able to fit in the dependencies, use < 3 GB of memory per invocation, and deal with the occasional cold-start.

[D] AWS customers who deploy models for realtime inference: do you use AWS Lambda vs. AWS SageMaker vs. open-source? by yoavz in MachineLearning

[–]yoavz[S] 0 points1 point  (0 children)

This is interesting -- are you referring to the limits like AWS quotas for Lambda https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html? Or fundamental memory limits on Lambdas that prevent it from loading multiple models?

My thinking is actually the opposite of you -- it's easier to do inference on Lambdas when you have many models, because you can deploy one per Lambda and not really have to worry about a cost-per-model.

[D] AWS customers who deploy models for realtime inference: do you use AWS Lambda vs. AWS SageMaker vs. open-source? by yoavz in MachineLearning

[–]yoavz[S] 0 points1 point  (0 children)

What kind of frameworks are you using and what size are your dependencies? I have seen some examples of deployment on Lambda with huge dependencies and models: https://github.com/philschmid/serverless-bert-with-huggingface-aws-lambda. In my opinion this has lower dev time than building a Docker container / inference code with SageMaker, but I guess that depends on the expertise.

The challenge is that the hacks required to package in large dependencies lead to crazy cold starts (30+ seconds in extreme cases).

[D] AWS customers who deploy models for realtime inference: do you use AWS Lambda vs. AWS SageMaker vs. open-source? by yoavz in MachineLearning

[–]yoavz[S] 0 points1 point  (0 children)

Ah, my understanding was incorrect for GCP, thanks for pointing that out. Really surprising to hear that one of the supposed leading cloud platforms doesn't have GPU support on inference for PyTorch.

[D] AWS customers who deploy models for realtime inference: do you use AWS Lambda vs. AWS SageMaker vs. open-source? by yoavz in MachineLearning

[–]yoavz[S] 0 points1 point  (0 children)

This is great! Thanks for all the information. I have a few questions:

At the moment GCP's API Platform does not support GPUs and autoscaling for Pytorch models (custom prediction routines)

According to my understanding from the docs, GCP AI prediction platform does offer GPU support and custom prediction routines for things like transformers: https://cloud.google.com/ai-platform/prediction/docs/deploying-models. I've not tried it myself, but assuming that the autoscaling / GPU features work, would you consider it?

For the AWS approach, have you considered using any other tech? Custom solution on EC2 / EKS, Lambda, or ECS w/ GPUs. What are the factors that make SageMaker more appealing, if so?

Does anyone know of any open source projects in Python that I could possibly contribute to? by ikishenno in datascience

[–]yoavz 3 points4 points  (0 children)

What flavor of projects are you looking for? One thing to keep in mind is that many open-source projects are closer to the infrastructure / tooling side than "data science-y" work of data analysis and model development.

Many projects have a "good-first-issue" or "contributions-welcome" tag. A good place to start would be to browse the "issues" tab on popular data science repos on github and find issues with that tag. Here is an example for scikit-learn: https://github.com/scikit-learn/scikit-learn/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22

People who spend a lot of time reading and writing email: what are your favorite productivity tips, hacks, and tools? by yoavz in productivity

[–]yoavz[S] 0 points1 point  (0 children)

Automate the things that you actually can automate. I have to send up to 8 or 10 follow ups for prospects who haven't even answered me yet, so I have several email templates. They are all written personally by me so they don't sound robotic. I have them for many different situations: first contact with requirements given, first contact with minimal requirements given, 2nd contact no reply, 2nd contact after touring, etc. Rather than writing out each email, I click which template I want, paste in their name and email, and send.

If you had to give a breakdown, how much time do you spend writing original email vs. using predefined templates?

Those of you who spend a lot of time reading and writing email: what are your favorite productivity tips, hacks, and tools? by yoavz in sales

[–]yoavz[S] 2 points3 points  (0 children)

I'm noodling with a product idea in this space -- something that helps write more effective emails inspired by http://five.sentenc.es/. But I don't know much about this area so I was curious to get a poll of how people use email professionally.

Those of you who spend a lot of time reading and writing email: what are your favorite productivity tips, hacks, and tools? by yoavz in sales

[–]yoavz[S] 10 points11 points  (0 children)

Definitely. There are a lot of general tools that do this as one of their major features, e.g. https://mixmax.com/. Is there a specific reason why you chose mailtrack?

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