A Developers Guide to NIM, Nvidia’s AI Application Platform
In March 2024, Nvidia announced NIM (Nvidia Inference Microservices), a set of easy-to-use microservices designed to accelerate the deployment of generative AI models across the cloud, data centers...
View ArticleBringing Back the Joy of Software Development
Years before he was a CEO, an investor or an executive making his way up the corporate ladder, Andy Lin was a software engineer, his fingers deep in the 1s and 0s, working 12 to 14 hours a day and...
View ArticleMachine Unlearning: Why Teaching AI To Forget Is Crucial
Once you learn something, it can be incredibly hard to forget it. As you can imagine, the same applies to machines as well, particularly for large language models (LLMs) that are trained on billions...
View ArticleMitigating Safety Risks with AI-Powered Applications
Enterprises want to take advantage of efficient customer interactions by adding generative AI (GenAI) to their chatbot applications. However, navigating the safety concerns and risks of incorporating...
View ArticleA ‘Nue’ UX Web Framework; Plus Anthropic, OpenAI Boost AI APIs
Nue is an open source web framework for UX developers by frontend/UX developer Tero Piirainen. It’s now available in beta and is designed to be a “ridiculously simpler alternative” to Next.js, Gatsby...
View ArticleLinux Foundation Backs Open Source LLM Initiative
The arguments over how to open source AI and large language models (LLM) continue. In the latest development, the Linux Foundation has adopted the Open Model Initiative (OMI) and its efforts to keep...
View ArticleDevOps in 2024: Automate First, AI Second
Enterprise IT teams are struggling to keep up with business needs. They are constantly being asked to do more with less. This is why it’s important to identify and overcome the bottlenecks they face....
View ArticleCopilot Autofix: AI’s Answer to Code Vulnerability Woes
GitHub this week made its Copilot Autofix advanced AI code scanning and remediation product generally available in GitHub Advanced Security (GHAS). Copilot Autofix uses AI to find vulnerabilities in...
View ArticleBe an AI Power User: Success Strategies in the AI Landscape
If you’ve been following along with my previous article on the current state of large language models, you might wonder, “OK, so where do we go from here?” Well, buckle up because we’re about to dive...
View ArticleBuild a RAG App With Nvidia NIM APIs and a Vector Database
The Nvidia NIM platform allows developers to perform inference on generative AI models. In this article, we will explore how to consume the NIM APIs to build a simple RAG application. For the vector...
View ArticleBuilding a Steampipe Dashboard for WordPress, With LLM Help
It had been a while since I built a Steampipe plugin using LLMs, which have since evolved, so I decided to team up with my assistants and tackle another item on my wishlist: a plugin to enable SQL...
View ArticleChainguard Launches CPU/GPU Containers for AI Frameworks
The concept is simple. You take a container, usually Docker, with your application and code inside. It likely has some CVEs, if not many. Alternatively, you can build a container using a Chainguard...
View ArticleShould Developers Curb Their Enthusiasm for Generative AI?
Back in February, following the general release of Copilot Enterprise, GitHub’s senior vice president of product Mario Rodriguez was (unsurprisingly) bullish about the use of generative AI in software...
View ArticleHow AI-Generated Content Is Challenging SEO and Web Operators
The last few years have been tumultuous ones for search engine providers, with Google, Bing, Yahoo!, Yandex, DuckDuckGo, and the rest having to adapt to the impact to AI, machine learning, and large...
View ArticleChatting With Data: LLMs Are Transforming AIOps
In his 1950 paper “Computing Machinery and Intelligence,” Alan Turing famously said, “We can only see a short distance ahead, but we can see plenty there that needs to be done.” He referred to the...
View ArticleAngular’s Efforts To Be Easier and Developer Friendly
Developers who tried Angular years ago should revisit the framework because it’s simpler, more performant and more developer-friendly now, an Angular representative told audiences at a Saturday...
View ArticleTransform Predictive Analytics With Time Series Language Models
It’s no secret that the rise of large language models (LLMs) like ChatGPT and Bard has dramatically changed how many work, communicate, and learn. But LLMs have applications other than replacing...
View ArticleAI Coding Assistants: 12 Do’s and Don’ts
Coding assistants that use generative AI (GenAI) are game changers for software development and the biggest step change the industry has experienced in decades. In a recent IDC survey, 56% of...
View ArticleGoogle Serves Up Cloud GPUs With a Side of Open Source LLMs
If you are a big fan of open source AI but don’t have the computing capacity to run AI models locally, Google has your back (but at a cost). The company is bringing Nvidia’s L4 GPUs to its cloud...
View ArticleWhat’s the Future for Software Developers?
Paige Bailey grew up in a small town in rural Texas and started coding on a cast-off Apple computer at about age 9. Today, she’s among the people perched at technology’s cutting edge, as GenAI...
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