Data Integration. Integration is needed when your organization collects large amounts of data in various systems such as databases, CRM systems, application servers, and so on. Accessing and analyzing data that is spread across multiple systems can be a challenge. To address this challenge, data integration can be used to create a unified view of... See more
Data, or data usage rights, might indeed become scarcer (or at least costlier) in the future as more and more platforms are closing up their free API access. Examples of that we have seen earlier this year include Reddit and Twitter/X. The latter has also just updated its usage terms to prevent crawling and scraping last month.
Lateral reading is a strategy that enables people to emulate how professional fact checkers establish the credibility of online information. It involves opening up new browser tabs to search for information about the organisation or individual behind a site before diving into its contents. Only after consulting the open web do skilled searchers... See more
dstack is an open-source toolkit and orchestration engine for running GPU workloads. It's designed for development, training, and deployment of gen AI models on any cloud.
Supported providers: AWS, GCP, Azure, Lambda, TensorDock, Vast.ai, and DataCrunch.
They will start to support autoscaling in March. You can configure multiple clouds and they deploy to the cheapest one.
Depending on your use case, batching may help . If you are sending multiple requests to the same endpoint, you can batch the prompts to be sent in the same request. This will reduce the number of requests you need to make. The prompt parameter can hold up to 20 unique prompts. We advise you to test out this method and see if it helps. In some... See more