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How To Build a Real-Time App With GPT-4o Function Calling
In our guide to function calling in LLMs, we discussed how to bring real-time data to chatbots and agents. Now we will explore this concept further by integrating the API from FlightAware.com with the...
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Copilot+ PCs: Understanding Microsoft’s Evolving AI PC Stack
Data centers are bursting at the seams with AI workloads, but PCs are now in the loop to take some stress off the mega GPU installations. “AI PC” may be a buzzword, but it also ably describes the new...
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GenAI Multi-Agent Systems: A Secret Weapon for Tech Teams
Many developers and product teams today use Generative AI (GenAI) agents to help build software or apps — and the real innovation is happening with multi-agent systems. Much like an orchestra can...
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Reversible Computing for Developers: Understanding the Basics
There’s been a lot of talk about how AI is impacting software engineering, mostly focusing on the positive use cases for developers. But there is a mounting suspicion that the sheer amount of...
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How Cloud Databases Have Evolved for the AI Era
Databases are a foundational technology that power the applications that businesses and consumers rely on every day. Cloud databases in particular fuel daily real-time digital experiences — video...
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From Blinken to Bots: The Battle for Cyberspace
Multiple news stories have been published about this year’s RSA Conference (RSAC). I won’t attempt to cover the same ground. Instead, I’ll give some overall impressions and highlights of talking with...
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LangChain and Google Gemini API for AI Apps: A Quickstart Guide
Integrating multiple modalities such as text, images, audio and video has become increasingly important for creating sophisticated and engaging AI applications. And LangChain and Google’s Gemini API...
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How LLMs Can Unite Analog Event Promotion and Digital Calendars
When I worked on community calendar aggregation, I didn’t just want to solve what remains an unsolved problem. I also wanted to teach communities how to think computationally. “Let’s teach everyone to...
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Codestral: A Step Closer to AI-Driven Coding for the Masses
Mistral AI has released Codestral, the company’s first code model, designed for code generation. Codestral is an open-weight generative AI (GenAI) model designed for code generation tasks. Open-weight...
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Ex-Red Hat CEO: AI’s Bumpy Road to the Enterprise
Red Hat’s former CEO Paul Cormier has warned that it could take today’s AI pioneers longer than they think to work out both how enterprises can “consume” AI and how they can actually turn a profit on...
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GPT-4o and SQL: How Well Can an LLM Alter Its Own Schema?
Although no large language model (LLM) has ever ridden a bike, they clearly understand the role of cycling within the domain of human transport. What they seem to offer software developers is a...
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Building an Open LLM App Using Hermes 2 Pro Deployed Locally
In my previous tutorial, I showed you how to bring real-time data to LLMs through function calling, using OpenAI’s latest LLM GPT-4o. In this followup, I will look at function calling using Hermes 2...
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The Architect’s Guide to the GenAI Tech Stack — 10 Tools
I previously wrote about the modern data lake reference architecture, addressing the challenges in every enterprise — more data, aging Hadoop tooling (specifically HDFS) and greater demands for...
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Trust in GenAI Requires an Open Data Movement Platform
A common refrain from the not-so-distant past was that every company is a software company. That has evolved to every company is a data company, which thrives when decisions are driven and based on...
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Don’t Build Your Future on Specialized Vector Databases
With the rise of AI, vector databases have gained significant attention due to their ability to efficiently store, manage and retrieve large-scale, high-dimensional data. This capability is crucial...
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5 Best Practices for Building Reliable GenAI Apps
Business leaders are eager to have developers build apps that satisfy customers and accelerate results with generative AI (GenAI) and large language models (LLMs). However, three core problems...
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Open Source AI Is ‘Dangerous:’: Euro Cybersec Chief Warns
HELSINKI — Open source AI is “dangerous,” and even if a way could be found to hardwire in safeguards, open source dogmatists would not accept it, Finnish cybersecurity pioneer Mikko Hypponen warned...
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AI Gateways vs. API Gateways: What’s the Difference?
The new hotness in AI infrastructure is the AI gateway. These systems are emerging as the critical buffer, a security and load balancing layer between AI applications and external users as well as...
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AI Gateways Transform Experimentation into Scalable Production
The rapid pace of AI advances demands experimentation-driven approaches for organizations to remain at the forefront of the industry. With AI steadily becoming a game-changer for various sectors,...
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Data Streaming Platforms: A Prerequisite for Enterprise AI
Data streaming platforms are essential for adopting AI/machine learning at enterprise scale, according to nearly two-thirds of IT leaders surveyed in a new report. Sixty-three percent of participants...
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