Techniques for Tackling Catastrophic Forgetting in AI Models
Despite the massive leaps forward in machine learning models recently, experts are still wrangling with the challenge of ensuring that machines don’t forget previously learned knowledge — especially...
View ArticleKey Trends Shaping the Observability Market
The observability market is undergoing significant transformation, driven by new technologies and changing demands. Here are four key trends that will significantly influence this market: 1. The AI...
View ArticleMicrosoft Sees Devs Embracing a ‘Paradigm Shift’ to GenAIOps
Organizations and developers continue to try to keep up with the unprecedented rate of innovation around generative AI (GenAI) as they look to make the emerging technology work for them. The rapid...
View ArticleOpenAI Launches New ChatGPT Interface, Designed for Coding
OpenAI launched a beta of canvas, a new ChatGPT coding and writing tasks space, this week. The AI company described it as going beyond the limitations of the chat interface by offering a side-by-side...
View ArticleOSI’s Definition of Open Source AI Raises Critical Legal Concerns for...
As the CTO of Lightning AI and early core contributor to PyTorch, I take open source to heart. Operating in open source for two decades and in AI for the last, I am particularly interested in the Open...
View ArticleIntegration of AI With IoT Brings Agents to Physical World
The rise of generative AI and LLMs is going to significantly impact the Internet of Things (IoT) and edge computing. With the evolution of small language models and on-device models, edge computing is...
View ArticleChecks by Google: AI-Powered Compliance for Apps and Code
Google is making its AI-powered compliance platform generally available as Checks by Google. It encompasses three new product offerings that will check apps, code and soon AI models for compliance...
View ArticleHow AI Agents Are About To Change Your Digital Life
Imagine learning a new skill or understanding a complex concept, only to forget it entirely the moment you step away. Then when you need that knowledge again, it’s gone and you have to start from...
View ArticleAgents Shift GenAI From Order Takers to Collaborators
From the use of modular components to the well-defined rules and syntax of programming languages, the way we build applications makes software development an ideal use case for generative AI (GenAI)....
View ArticleOSI Finalizes a ‘Humble’ First Definition of Open Source AI
After nearly three years of planning, including community meetings and a months-long global “roadshow” to gather feedback, the Open Source Initiative (OSI) has published Release Candidate 1 of its...
View ArticleAtlassian’s New AI Product Gives Developers Access to Agents
Atlassian, the creators of Jira, released a generative AI product called Rovo that features pre-configured AI agents and the ability to create your own AI agents using natural language. Rovo also has...
View ArticleDeno 2.0, Angular Updates, Anthropic for Devs, and More
The Deno team introduced a new Deno for Enterprise program Wednesday, along with releasing Deno 2.0. Deno for Enterprise includes priority support, direct access to their engineers, guaranteed...
View ArticleTraceability in AI-Enhanced Code: A Developer’s Guide
The swift and widespread adoption of Generative AI has permeated business sectors across the globe. With transcription tools and content creation readily available, AI’s potential to reshape the...
View ArticleHow To Increase Plasticity in LLMs and AI Applications
Deep learning models — including large language models like ChatGPT, Gemini and Claude — seem like powerful tools that have been trained on a large body of knowledge. But there are limits to their...
View ArticleThe Secret Sauce for Vector Search: Training Embedding Models
In their zeal to reap the countless benefits of generative machine learning models, organizations are rushing to embed their data for various forms of vector similarity search. Many are focused on...
View ArticleImproving Application Security Requires Defining Better Metrics
An essential step in safeguarding your applications running in the cloud is to identify and fix potential risks before they are exploited. It is especially important to tie effective success metrics...
View ArticleGraph RAG: How To Squeeze More Value From AI
These days, it seems like everyone is doing retrieval-augmented generation (RAG), and more and more are adding knowledge graphs to make graph RAG. But many of them get stuck in the R&D stage,...
View ArticleTecton Tackles Next Big GenAI Challenge: Personalization
Just having a well-tuned model is not enough to enjoy success with generative AI. You also need to connect it firmly to the business practices. “Everybody has access to the same models now. Everybody...
View ArticleSelf-Driving Software: Solver Launches Autonomous AI Coder
What self-driving is to the automobile industry, Solver hopes to be for the programming industry. Solver is the brainchild of Mark Gabel, formally the chief scientist at Viv (an AI assistant company...
View ArticleThere Is Just One Way To Do Open Source Security: Together
ATLANTA — At the first Linux Foundation’s Securing Open Source Software (SOSS) Fusion conference, security company CEO HackerOne Mårten Mickos shared his insights on the intersection of artificial...
View Article