RAG vs Fine-Tuning Explained: What They Actually Do and When to Use Each
, I have written quite a lot about RAG, starting with the Hitchhiker’s Guide to RAG with ChatGPT API and LangChain, and then exploring various topics related to RAG and…
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LinkedIn is the undisputed king of long-form AI slop, according to a study spanning five platforms
One in four social media posts over 250 words is AI-generated, according to a Pangram analysis. LinkedIn tops the list with 41 percent of long-form posts flagged as AI-written. The platform…
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Translating to Mojo via AI Agents
At Modular, we’re always experimenting with the latest agentic programming tools, integrating the best ones into our workflows, and learning quite a few lessons along the way. One thing we…
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fast token generation accelerates enterprise AI inference
The race for fast token generation has moved from benchmark sheets into production data centers, and the hardware blueprint for winning it is no longer a GPU-only story. As agentic…
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CODEGEN: A Transformative Open-Source Language Model for Versatile Program Synthesis
With the rise of large language models (LLMs), we are thinking and approaching things differently for many tasks, from natural language processing and text generation to programming. From OpenAI’s GPT-3…
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NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations
Telecom operators have seen remarkable returns from using generative AI to automate network management, customer care and back-office operations. Most of that impact has been task‑based: automation that speeds up…
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Ask, build, compose: What our 5th Genie Hackathon taught us about Databricks Genie
How Databricks hackathons work We run these hackathons for a simple reason: the fastest way to learn a product is to build something with it. Each one kicks off with…
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European Commission Presents EU Action Plan on Cybersecurity and Artificial Intelligence
July 9, 2026 — The European Commission has presented an Action Plan for a structured response to address the risks and harness the opportunities of advanced artificial intelligence (AI) models for…
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Handling Class Imbalance in ML: Better Alternatives to SMOTE
Most real-world classification problems are imbalanced. Fraud, disease, churn, and defects are rare by nature. Standard classifiers chase accuracy, so they quietly ignore the very class you care about. For…
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Benchmarking inference at scale: coding agents
Most inference benchmarks measure a single user hitting a dedicated endpoint. The numbers look great. They’re also useless for reasoning about production. In production, you’re running dozens or hundreds of…
