The IIL Blog

OCTOBER 24, 2023

AI is a branch of computer science that focuses on providing computer hardware and software with the ability to execute intelligent tasks with Generative AI (GenAI) learning and improving with each query. Last week, for example, ChatGPT added speech generation capability to engage back and forth verbally and audibly. Air Force officer.

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TechEmpower - Project Management

SEPTEMBER 25, 2023

Maybe with ChatGPT!) And the #1 symptom relates to that old software engineering adage: The first 90% of a project takes half the time. When we interview potential developers, we’re always amazed at how many can’t answer basic programming questions. And how did they build their impressive resume?

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MPUG

FEBRUARY 19, 2024

By now, most people with even a passing interest in technology have experimented with large language models (LLMs) like Anthropic’s Claude, Open AI’s ChatGPT, or Google’s Gemini. GitHub’s Copilot helps software engineers generate deployable code.

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TrustRadius Project Management

JUNE 27, 2024

Often you’ll see it referenced by the most well-known software in the space: ChatGPT. “I support a software engineering firm, and given that they are heavily in the tech space, they have a lot of thoughts and have put a lot of time and energy into thinking about AI policy and strategy,” she said.

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Teamweek

AUGUST 1, 2023

A data scientist uses a combination of data analysis, machine learning and software engineering to create statistical models that solve more strategic business problems , such as anti-churn measures or workflow automation. Further Reading: 8 Examples of Using ChatGPT in Recruitment Process 4.

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Teamweek

APRIL 26, 2023

And while businesses are now using ChatGPT across various sectors and continually discovering new use cases, an equal amount of exaggeration and misunderstanding always accompanies the next Big Thing in tech. TL;DR – Key Takeaways ChatGPT is an AI chatbot on steroids. What is ChatGPT, and what’s all the fuss about?

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Teamweek

JULY 12, 2024

You could ask ChatGPT about every applicant, but we have a better suggestion: using smart AI interviews and assessment techniques to find the ideal hires. ML plays a critical cybersecurity role by identifying potential threats and exploits (weak spots in company software). Engineers can plug those gaps to keep data safe.

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