Hey devs! When you use Codex, putting too many tasks into a single conversation makes the model slow, confused, and unreliable. To solve this problem, I highly recommend using subagents (or Custom ...
Registration is open for the RCS Spring 2026 Tutorials. Please also be aware that we have lots of recordings and slides available from past tutorials by RCS staff and vendors. For hands-on sessions ...
LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...
A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...
Large language models are revolutionizing how we interact with technology by leveraging advanced natural language processing to perform complex tasks. LLM agents are next-generation advanced AI ...
Multi-step tasks extend the single image build-and-push capability of ACR Tasks with multi-step, multi-container-based workflows. Use multi-step tasks to build and push several images, in series or in ...
As a data engineer, the list of tools and frameworks you’re expected to know can often be daunting. But, at the least, you should be proficient in SQL, Python, and Bash scripting. Beside being ...
SQL Server is primarily built around a row-based table structure that connects related data elements in different tables to one another, avoiding the need to redundantly store data in multiple places ...
This tutorial will discuss leveraging Python’s capability to execute multithreading and multiprogramming tasks. They offer a gateway to perform concurrent operations within a single process or across ...
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