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Securing AI Development: Addressing Vulnerabilities from Hallucinated Code

Unite.AI

Amidst Artificial Intelligence (AI) developments, the domain of software development is undergoing a significant transformation. Traditionally, developers have relied on platforms like Stack Overflow to find solutions to coding challenges.

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Code Smarter, Not Harder: Streamline Software Development with Generative AI

Topbots

AI has played a supporting role in software development for years, primarily automating tasks like analytics, error detection, and project cost and duration forecasting. However, the emergence of generative AI has reshaped the software development landscape, driving unprecedented productivity gains.

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Why There’s No Better Time to Learn LLM Development

Towards AI

However, a large amount of work has to be delivered to access the potential benefits of LLMs and build reliable products on top of these models. This work is not performed by machine learning engineers or software developers; it is performed by LLM developers by combining the elements of both with a new, unique skill set.

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Meet Laminar AI: A Developer Platform that Combines Orchestration, Evaluations, Data, and Observability to Empower AI Developers to Ship Reliable LLM Applications 10x Faster

Marktechpost

Because LLMs are inherently random, building reliable software (like LLM agents) requires continuous monitoring, a systematic approach to testing modifications, and quick iteration on fundamental logic and prompts. An excellent LLM “IDE” has been developed by the Laminar AI team.

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#49 Why Become an LLM Developer?

Towards AI

This week, I am super excited to finally announce that we released our first independent industry-focus course: From Beginner to Advanced LLM Developer. It is a one-stop conversion for software developers, machine learning engineers, data scientists, or AI/Computer Science students. Check the course here!

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Generative AI developer toolkit

deepsense.ai

There is an increased demand in the job market for developers who are capable of adopting AI tools and willing to do so, with employers valuing the higher efficiency and enriched skill set that these individuals bring to the table. First and foremost, acquaint yourself with the general architecture of LLM models.

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Qdrant, an open source vector database startup, wants to help AI developers leverage unstructured data

Flipboard

But while there’s little question of a seismic sea change these past six months in terms of public awareness, the growing demand for AI could be outpacing the infrastructure required to power the myriad use cases that are emerging — and this is something that German startup Qdrant is looking to address.