I am building a web app, and I would like to use the polygon.io API on the back-end to forecast the market sentiment. The individual upgrade is $200, while business upgrade would cost $2000. Would my use of the API considered personal or commercial? Source: 7 months ago

It's worth mentioning that we use polygon.io to provide market information, which has the ability to specify time frames for data. Each ChatGPT call will have the appropriate information at the time it should. We also use a temperature of 0, as we want idempotent predictions. Source: about 1 year ago

I am currently testing the products from Polygon.io . They seem to have everything I need, however I noticed that sometimes prices are not adjusted for splits. I have seen on subreddit that this is a known problem with Polygon (about more than 3 years ago!) so I am wondering about the quality of their data. Source: about 1 year ago

Polygon.io is our main data source, then we have other auxiliary sources to fill in other details polygon doesn't provide. Source: about 1 year ago

To get the stock price data, we are going to use Polygon,. - Source: dev.to / about 1 year ago

The next generation of LMs will need a greater degree of isolation. Cloud providers like Amazon already allow arbitrary users access to their systems without knowing whether the user is a hacker. The startup E2B brings the same secure containerization technology Amazon uses to the AI space. Treating these LMs as if they were potentially malicious human-level hackers and placing similar restrictions on them as... - Source: dev.to / about 2 months ago

E2B | https://e2b.dev | San Francisco, CA | Full-time | In-person [E2B](https://e2b.dev) is building a secure open-source runtime that will power next billion of AI apps & agents. We found an early traction with making it easy for developers to add [code interpreting](https://github.com/e2b-dev/code-interpreter). We have paying customers from seed to enterprise companies. We're hiring: - Frontend/Product Engineer... - Source: Hacker News / 2 months ago

Hi, I'm the CEO of the company that built this SDK. We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2]. You can think of us as giving small cloud computers to LLMs. We recently created a dedicated SDK for building custom code... - Source: Hacker News / 3 months ago

These use cases were often centered around AI data analysis so code interpreter-like behavior made sense The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4] We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that on users. We're really just a... - Source: Hacker News / 3 months ago

E2B is a platform used to augment building AI autonomous agents. It allows you to provide your AI agent access to tools in a safe, sandboxed environment. With its sandbox feature, you can set up an environment with whatever tools and packages your AI agent requires for the tasks you want it to accomplish. - Source: dev.to / 6 months ago