Remove Off-The-Shelf Remove Open Source Remove Systems Review
article thumbnail

Vercel raises $102M Series C for its front-end development platform

TechCrunch

Vercel , the company behind the popular open-source Next.js Given the open-source nature of the Next.js Given the open-source nature of the Next.js React framework, today announced that it has raised a $102 million Series C funding round led by Bedrock Capital. Image Credits: Vercel.

article thumbnail

Off the Shelf vs Custom Software: Making the Right Choice for Your Business

Trigent

Here’s all that you need to make an informed choice on off the shelf vs custom software. While doing so, they have two choices – to buy a ready-made off-the-shelf solution created for the mass market or get a custom software designed and developed to serve their specific needs and requirements.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

AWS Open Source Observability: Visualization and Security Auditing with CloudMapper (Part 1)

Xebia

We define Observability as the set of practices for aggregating, correlating, and analyzing data from a system in order to improve monitoring, troubleshooting, and general security. When it comes to Cloud Observability, several Open Source and proprietary tools have been available over the years.

article thumbnail

Know before you go: 6 lessons for enterprise GenAI adoption

CIO

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. We’re using our own databases, testing against our own needs, and building around specific problem sets.

article thumbnail

Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

There is often a need to verify the reasoning of such ML systems to hold algorithms accountable for the decisions predicted. There is also a trade off in balancing a model’s interpretability and its performance. A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.

article thumbnail

Getting specific with GenAI: How to fine-tune large language models for highly specialized functions

CIO

The challenge, as many businesses are now learning the hard way, is that simply applying black box, off-the-shelf LLMs, like a GPT-4, for example, will not deliver the accuracy and consistency needed for professional-grade solutions. The key to this approach is developing a solid data foundation to support the GenAI model.

article thumbnail

Should you build or buy generative AI?

CIO

But many organizations are limiting use of public tools while they set policies to source and use generative AI models. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” As so often happens with new technologies, the question is whether to build or buy.