Secret Weapon: How SQL Vector Databases Boost RAG Performance
Retrieval-augmented generation (RAG) has been a major breakthrough in the domain of natural language processing (NLP). It has optimized many NLP tasks due to its simplicity and efficiency. By...
View ArticleBetter LLM Integration With Content-Centric Knowledge Graphs
Extracting knowledge graphs using a large language model (LLM) is time-consuming and error-prone. These difficulties arise because the LLM is being asked to extract fine-grained, entity-specific...
View ArticleHow Amazon Bedrock Helps Build GenAI Apps in Python
PITTSBURGH — If you’re involved in machine learning and data science, you don’t have to use Python, but it certainly helps, according to Suman Debnath. “When we start talking about machine learning,...
View ArticleGenerate Learned Sparse Embeddings With BGE-M3
Sometimes developers need to make a choice when it comes to LLM retrieval approaches. They can use a traditional sparse embedding or a dense embedding. Sparse embeddings work really well for...
View ArticleSmooth Sailing for KubeFlow 1.9 Thanks to CNCF, Red Hat Support
Since last year, the open source MLOps platform KubeFlow has benefitted from a number of powerful new benefactors, including the Cloud Native Computing Community for open governance, and Red Hat,...
View ArticleBreaking Down the Barriers to Operational Innovation
Business leaders often seek to drive innovation to carve out a competitive advantage in the market, but innovation doesn’t have to mean disrupting or reshaping an entire industry. Such seismic shifts...
View ArticleFrom English to SQL: Oracle APEX AI Bridges the Language Gap
Oracle this week released an AI-driven update to its Oracle APEX low-code development platform that enables non-developers to execute vector queries in less than two minutes, without knowing SQL. In...
View ArticleReact 19 Change Angers Some Devs; Vector Database Use Jumps
React 19 almost slowed down the internet last week — or at least existing sites built with React, according to Henrique Yuji of Code Miner, a software boutique that runs an interesting blog by the...
View ArticleAI-in-a-Box With Podman AI Lab
AI is everywhere. You can throw a stone at any given collection of companies and you’ll hit one that is currently employing AI in some form or function. Most AI is experienced through the likes of...
View ArticleCalls to Ban Open Source are Misguided and Dangerous
The cries to “ban open source” first surfaced last autumn—partly a response to Meta and others’ “opening” large language models (LLMs). Lobbyists bandied the phrase around political rallies and across...
View ArticleImproving Data Quality: Anomalo and Automated Monitoring
Whether applications, information systems and computational resources are customer-facing or internal, revenue-generating or otherwise, one fact will almost always remain true about them. They’re all...
View ArticleUsing SPLADE to Generate Learned Sparse Embeddings
This is the second of two articles about learned sparse embeddings. Be sure to check out the previous installment on BGE-M3, which includes some critical background for understanding how the SPLADE...
View ArticleRegister Now: How Low-Code Orchestration Unlocks GenAI
Maybe you’ve already adopted generative AI (GenAI) in your business. Maybe you haven’t started, but your competitors probably have. Either way, you probably have questions about this transformative...
View ArticleKubernetes for GenAI: Why It Makes So Much Sense
Generative AI (or GenAI) is quickly evolving, becoming essential to many organizations. It’s moved beyond simple prediction to enhancing applications with code completion, automation, deep knowledge...
View ArticleMicrosoft Bets on AI to Lure Devs to Windows on Arm
Could Microsoft’s AI-infused Copilot+ PC platform, which supports Windows-based Arm devices, be the “killer app” that lures developers to Windows on Arm? Perhaps. Though some say it may be just a...
View ArticlePyTorch, Docker and AI Openness Highlight AI_dev Europe
PARIS — The cofounder of PyTorch told open source AI developers last week that the project had considered closer integration between the AI framework and languages including Rust and JavaScript but...
View ArticlePostgreSQL vs. MongoDB: Which Is Better for GenAI?
Generative AI (GenAI) applications consume data differently than traditional online transaction processing (OLTP) workloads. They process data in small chunks, typically on rows and tables and with...
View ArticleJFrog Combines DevOps, DevSecOps, MLOps with Qwak Buy
DevOps platform maker JFrog, the first company to develop a binary code management repository for developers, revealed Tuesday that it has acquired Tel Aviv-based Qwak to add AIOps and MLOps...
View ArticleFive Ways to Build a Robust AI and Automation Strategy
Today’s enterprises are drowning in data, and from an IT operations perspective, this is a major challenge. Increasingly, the only way to make sense of this data — while operating at machine speed and...
View ArticleRAG vs. Fine-Tuning Models: What’s the Right Approach?
In the rapidly evolving field of AI, two popular methods for enhancing the capabilities of language models are retrieval-augmented generation (RAG) and fine-tuning. Each approach has its strengths and...
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