article thumbnail

Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection.

article thumbnail

Inferencing holds the clues to AI puzzles

CIO

Crunching mathematical calculations, the model then makes predictions based on what it has learned during training. Ultimately, it takes a combination of the trained model and new inputs working in near real-time to make decisions or predictions. The engines use this information to recommend content based on users’ preference history.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Cybersecurity Snapshot: Get the Latest on Deepfake Threats, Open Source Risks, AI System Security and Ransomware Gangs

Tenable

Plus, open source security experts huddled at a conference this week – find out what they talked about. Those are some of the initiatives the Linux Foundation’s Open Source Security Foundation (OpenSSF) plans to undertake in the coming year, the group announced at its “Secure Open Source Software Summit 2023” held in Washington, D.C.

article thumbnail

Efficient continual pre-training LLMs for financial domains

AWS Machine Learning - AI

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. The resulting LLM outperforms LLMs trained on non-domain-specific datasets when tested on finance-specific tasks.

article thumbnail

Is Open-Source Kubernetes Free? Yes, “Like a Puppy.” Here’s Why.

d2iq

The common misconception of open-source Kubernetes is that it is free—but in reality, it has a lot of associated costs, including labor and potential business losses from wasted time, effort, and being late to market. Assembling and managing a Kubernetes platform requires highly skilled Kubernetes architects, engineers, and developers.

article thumbnail

How to run data on Kubernetes: 6 starting principles

TechCrunch

Sylvain Kalache is the co-founder of Holberton , an edtech company training digital talent in more than 10 countries. However, the community recently changed the paradigm and brought features such as StatefulSets and Storage Classes, which make using data on Kubernetes possible. Sylvain Kalache. Contributor. Share on Twitter.

How To 229
article thumbnail

4 paths to sustainable AI

CIO

Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is He also recommends tapping the open-source community for models that can be pre-trained for various tasks. “All