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Salary Pressures, Not AI, Vex Developers, Says Stack Overflow
Developers don’t think AI threatens their jobs. Nor should they be overly concerned about being laid off. Instead, constraints on take-home pay have become very real, according to data from Stack...
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How To Build an AI Agent That Uses RAG To Increase Accuracy
The combination of retrieval augmented generation (RAG) and function calls can greatly improve the capabilities of LLM-based applications. RAG agents based on function calling combine the benefits of...
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Open Source or Closed? The AI Dilemma
Artificial intelligence is in the middle of a perfect storm in the software industry, and now Mark Zuckerberg is calling for open sourced AI. Three powerful perspectives are colliding on how to...
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Scaling Knowledge Graphs by Eliminating Edges
Knowledge graphs enable the linking of related content in a way that complements vector similarity. In much the same way that hyperlinks allow connecting a website with related information, edges in...
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AI Beyond Chatbots and Assistants: Adaptive Applications
AI has impressed the world with natural language chatbots and coding assistants. But as the hype comes to a peak while legal and regulatory issues are unclear, decision-makers are starting to wonder:...
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Building LLM-Based GenAI Applications With Amazon Bedrock
Large language models (LLMs) are trained on extensive datasets to understand and generate human-like text. LLMs have advanced significantly in recent years, resulting in widespread adoption in a...
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Google Cloud Adds GenAI, Core Enhancements Across Data Platform
In concert with its Next ’24 event in Tokyo this week, Google Cloud is making an array of announcements across its entire data platform, including the analytical and operational sides. Platforms...
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How To Run an Agent on Federated Language Model Architecture
In the first part of this series, I introduced the idea of federated language models, where we take advantage of a capable cloud-based large language model (LLM) and a small language model (SLM)...
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Supercharge AIOps Efficiency With LLMs
Senser has been an AI company from day one. We operate within the AIOps category, using machine learning to graph production Cloud and IT environments and provide our customers with deep insights into...
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Get Started With AWS Bedrock for GenAI Apps
Retrieval-augmented generation (RAG) is a widely used technique that augments large language models (LLMs) and GenAI apps by providing contextual information from external sources. This method can...
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Bypassing eBPF to Protect Runtimes in Kubernetes Apps
SEATTLE — Kubernetes is a good fit for the scale needed to run generative AI applications. But GenAI poses a security problem that requires new approaches to protecting runtimes in Kubernetes...
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The Current State of LLMs: Riding the Sigmoid Curve
You might have noticed a shift in the air if you’ve been following the AI space lately. The unbridled optimism of a year ago has given way to a more somber, realistic outlook. As someone who spends...
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Why AI Can’t Fix Your Production Issues
Generative AI and LLMs have significantly increased productivity across industries and domains, from marketing to engineering. As an early-stage founder, I have personally found them helpful in...
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In the Age of AI, What Should We Teach Student Programmers?
In a world where AI has created powerful tools for coding, what exactly should computer science teachers tell the young programmers of tomorrow? On the front lines of the future, educators are...
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AI-Powered Service Models Speed Troubleshooting
If you manage a modern distributed IT environment, context is critical for troubleshooting and analyzing the business impact of production issues. But that context can be hard to acquire. You might...
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GenAI App Builders Must Solve New RAG Complexity
Retrieval-augmented generation (RAG) is quickly becoming a necessary element of generative AI applications. RAG endows pretrained AI models with superpowers of specialization, making them precise and...
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GitHub Models: Review of Microsoft’s New AI Engineer Platform
Last week, GitHub announced the launch of GitHub Models, a new addition to the existing marketplace, which makes it easy for developers to consume the latest generative AI models. I got early access...
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Getting Started With Function Calling in LLMs
Function calling is a powerful capability in large language models (LLMs) like GPT-4, allowing these models to interact seamlessly with external tools and APIs. This functionality enables LLMs to...
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JetBrains Improves AI Code Completion, OpenAI Boosts JSON
JetBrains announced its annual IDE updates this week, along with news that its AI assistant now leverages updated large language models (LLMs), which means the assistant can provide faster code...
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Nvidia’s Hardware Roadmap and Its Impact on Developers
Nvidia is the biggest beneficiary of the AI boom and is raking in cash from GPU sales. It is now putting its foot on the pedal with an unprecedented plan to release one GPU every year until 2027. “Our...
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