Understanding the generative AI development process
Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on all of your data to find the best (or least bad) fit. By ancient, I mean prior to the seminal paper on the […]
Read MoreGrafana: Shining a light into Kubernetes clusters
Back in 2014, when the wave of containers, Kubernetes, and distributed computing was breaking over the technology industry, Torkel Ödegaard was working as a platform engineer at eBay Sweden. Like other devops pioneers, Ödegaard was grappling with the new form factor of microservices and containers and struggling to climb the steep Kubernetes operations and troubleshooting […]
Read MoreSQL at 50: What’s next for the structured query language?
In May 1974, Donald Chamberlin and Raymond Boyce published a paper on SEQUEL, a structured query language that could be used to manage and sort data. After a change in title due to another company’s copyright on the word SEQUEL, Structured Query Language (SQL) was taken up by database companies like Oracle alongside their new-fangled […]
Read MoreDuckDB: The tiny but powerful analytics database
Most people assume that analytical databases, or OLAPs, are big, powerful beasts—and they are correct. Systems like Snowflake, Redshift, or Postgres involve a lot of setup and maintenance, even in their cloud-hosted incarnations. But what if all you want is “just enough” analytics for a dataset on your desktop? In that case, DuckDB is worth […]
Read MoreVisual Studio vs. Visual Studio Code: How to choose
For decades, when I got to work in the morning, I would start Microsoft Visual Studio (or one of its predecessors, such as Visual C++ or Visual InterDev), then brew tea and possibly attend a morning meeting while it went through its laborious startup. I would keep the IDE open all day as I went […]
Read More10 principles for creating a great developer experience
About a decade ago, I was a CIO evaluating a technology solution and I shared our primary requirements with a prospective vendor’s rep. He demoed at least three products from the company’s portfolio. Each tool had its own user experience, development approach, and learning requirements, but all three were needed to solve our business requirements. […]
Read MoreRed Hat’s Podman AI Lab supports developer adoption of genAI
Red Hat has unveiled Podman AI Lab, an extension to the Podman Desktop graphical interface that lets developers build generative AI-powered applications in containers. Announced May 7, Podman AI Lab is intended to make it easier to develop with AI in a local environment. The Podman AI Lab extension supports the adoption of generative AI […]
Read MoreMicrosoft working on an LLM to take on Gemini, GPT-4
Microsoft is reportedly working on a new large language model (LLM) to take on Google’s Gemini and OpenAI’s GPT-4. Codenamed MAI-1, the new LLM is currently in the development phase and is being led by Mustafa Suleyman, co-founder of Google DeepMind and Inflection AI, The Information reported citing two sources. Suleyman joined Microsoft in March […]
Read MoreOpenAI unveils specs for desired AI model behavior
In a bid to “deepen the public conversation about how AI models should behave,” AI company OpenAI has introduced Model Spec, a document that shares the company’s approach to shaping desired model behavior. Model Spec, now in a first draft, was introduced May 8. The document specifies OpenAI’s approach to shaping desired model behavior and […]
Read MoreOracle renames Database 23c to 23ai, makes it generally available
Oracle is making the latest long-term support release version of its database offering — Database 23c — generally available for enterprises under the name Oracle Database 23ai. The change in nomenclature can be attributed to the addition of new features to the database that are expected to help with AI-based application development among other tasks, […]
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