Unfortunately, I can't say the same for other types of tests like E2E tests. It makes sense why: CC doesn't have access to all of the context to determine what's going wrong. During an E2E test suite run it can't pause to look into the console, view whats on the page, look at the backend logs, etc. I tried writing some utilities to snapshot and log the state of parts of the page when a test failed and this did help a bit, but not enough to get the same productivity boost for other types of tests.
Has anyone had any luck with this? Any strategies to share?
Which one do folks like best?
At Upnext, we are passionate about solving information overload. Every day we get bombarded with content from social networks, news sites, blogs, messages, etc. It’s hard to keep up and it’s even harder to find the content that really matters to you. It takes time and energy to sift through the noise and find what really matters. Our latest app helps you stay up to date on the topics and news that you care about by aggregating updates into a single place. Using our own AI models we’re building in deep personalization from the beginning so our users will always have the most important updates about topics they care about. We have open roles for:
- Software developers: our tech stack is TypeScript / Node / React / Python
- Designers: we're creating a seamless, beautiful experience across desktop, native and web
- ML engineer: help us design build and deploy our first generation of recommendation and understanding systems
If you'd like to chat, email me at joe [at] upnext [dot] in!
Stack is a combination of TypeScript (Next / Node) + Python with a pretty simple deployment setup right now (GHA -> Container -> Cloud Run).
- Software developers: our tech stack is TypeScript / Node / React / Python - Designers: we're creating a seamless, beautiful experience across desktop, native and web - ML research / ML engineer: help us design build and deploy our first generation of recommendation and understanding systems - Marketing / growth: help us get the word out!
If you'd like to chat, email me at joe [at] upnext [dot] in!
At Upnext, we are passionate about solving information overload. Every day we get bombarded with content from social networks, news sites, blogs, messages, etc. It’s hard to keep up and it’s even harder to find the content that really matters to you. It takes time and energy to sift through the noise and find what really matters. That's why we created Upnext, our flagship product that lets users easily organize reading, audio, and video content in one neat space. We’re not stopping there, our latest app helps you stay up to date on the topics and news that you care about by aggregating updates into a single place. Using our own AI models we’re building in deep personalization from the beginning so Upnext users will always have the most important updates about topics they care about. We've got open roles for:
- Software developers: our tech stack is TypeScript / Node / React / Python - Designers: we're creating a seamless, beautiful experience across desktop, native and web - ML research / ML engineer: help us design build and deploy our first generation of recommendation and understanding systems - Marketing / growth: help us get the word out!
If you'd like to chat, email me at joe [at] upnext [dot] in!
At Upnext, we are passionate about solving information overload. Every day we get bombarded with content from social networks, news sites, blogs, messages, etc. It’s hard to keep up and it’s even harder to find the content that really matters to you. It takes time and energy to sift through the noise and find what really matters. That's why we created Upnext, our flagship product that lets users easily organize reading, audio, and video content in one neat space. We’re not stopping there, our latest app helps you stay up to date on the topics and news that you care about by aggregating updates into a single place. Using our own AI models we’re building in deep personalization from the beginning so Upnext users will always have the most important updates about topics they care about. We've got open roles for:
- Software developers: our tech stack is TypeScript / Node / React / Python - Designers: we're creating a seamless, beautiful experience across desktop, native and web - ML research / ML engineer: help us design build and deploy our first generation of recommendation and understanding systems - Marketing / growth: help us get the word out!
If you'd like to chat, email me at joe [at] upnext [dot] in!
At Upnext, we are passionate about solving information overload. Every day we get bombarded with content from social networks, news sites, blogs, messages, etc. It’s hard to keep up and it’s even harder to find the content that really matters to you. It takes time and energy to sift through the noise and find what really matters. That's why we created Upnext, our flagship product that lets users easily organize reading, audio, and video content in one neat space. We’re not stopping there, our latest app helps you stay up to date on the topics and news that you care about by aggregating updates into a single place. Using our own AI models we’re building in deep personalization from the beginning so Upnext users will always have the most important updates about topics they care about. We've got open roles for:
- Software developers: our tech stack is TypeScript / Node / React / Python - Designers: we're creating a seamless, beautiful experience across desktop, native and web - ML research / ML engineer: help us design build and deploy our first generation of recommendation and understanding systems - Marketing / growth: help us get the word out!
If you'd like to chat, email me at joe [at] upnext [dot] in!
Say for instance I summarize something and want to check that the result doesn't contain hallucinations (confabulations :)) or more specifically that the summary contains only information present in original text. What's current state of the art for something like this and how well does it perform? I've read some about entailment models and fine tuned LLMs for this sort of thing but haven't found many great resources.
At Upnext, we are passionate about solving information overload. Every day we get bombarded with content from social networks, news sites, blogs, messages, etc. It’s hard to keep up and it’s even harder to find the content that really matters to you. It takes time and energy to sift through the noise and find what really matters. That's why we created Upnext, our flagship product that lets users easily organize reading, audio, and video content in one neat space. We’re not stopping there, our latest app helps you stay up to date on the topics and news that you care about by aggregating updates into a single place. Using our own AI models we’re building in deep personalization from the beginning so Upnext users will always have the most important updates about topics they care about . We've got open roles for:
- Software developers: our tech stack is TypeScript / Node / React / React Native
- Designers: we're creating a seamless, beautiful experience across desktop, native and web
- ML research / ML engineer: help us design build and deploy our first generation of recommendation and understanding systems
- Marketing / growth: help us get the word out!
If you'd like to chat, email me at joe [at] upnext [dot] in!
At Upnext, we are passionate about solving information overload. Every day we get bombarded with content from social networks, news sites, blogs, messages, etc. It’s hard to keep up and it’s even harder to find the content that really matters to you. It takes time and energy to sift through the noise and find what really matters. That's why we created Upnext, our flagship product that lets users easily organize reading, audio, and video content in one neat space. We’re not stopping there, our latest app helps you stay up to date on the topics and news that you care about by aggregating updates into a single place. Using our own AI models we’re building in deep personalization from the beginning so Upnext users will always have the most important updates about topics they care about . We've got open roles for:
- Software developers: our tech stack is TypeScript / Node / React / React Native
- Designers: we're creating a seamless, beautiful experience across desktop, native and web
- ML research / ML engineer: help us design build and deploy our first generation of recommendation and understanding systems
- Marketing / growth: help us get the word out!
If you'd like to chat, email me at joe [at] upnext [dot] in!
Reminds me of my Amazon Echo and the reason I unplugged it :)
We're currently using a multilingual sentence-transformers models (https://www.sbert.net/) model to compute text embeddings used for text similarity. It's a great toolkit. I noticed a lot of the models were trained and released a couple years ago and it got me wondering what the best open source models are these days. Looked for alternatively models out of curiosity but didn't have much...