This tutorial serves as a comprehensive guide for developers and researchers interested in creating an API for the Llama 2 language model, with multiprocessing support using Python.

Everything you need to know to build, run, serve, optimize and quantize models on your PC Hands on Training large language ...

Learn how to build your own AI agent from scratch with Python. This step-by-step guide makes AI development accessible for everyone.

Bluesky CID and PID values Currently our application doesn't log any data or provide any local indication of success when it runs. However, the post object returned by the Python API includes both the ...

The API also supports MCP tools, which connect agents to external resources like APIs, databases, user data and documents—extending the agents’ abilities to handle dynamic, real-world content.

To get started, we will import the necessary packages. We will use Benzinga’s Python SDK to access the API, Pandas to format and manipulate the data, and Matplotlib to visualize the earnings data.

By Swasti Shrivastava, Softnautics Test automation is the practice of automating test execution using frameworks and tools to carry out tests more quickly and reduce the need for human testers. In ...

Snyk API & Web integrates Probely’s advanced testing technology to not only provide traditional security scans but also leverage AI-driven capabilities to detect vulnerabilities that are often ...

In summary, an API security program should use both vulnerability scanning and penetration testing to deliver comprehensive security for the API. Both have different approaches and scopes, but ...