Clik here to view.
How AI Revolutionizes Software Testing and Accelerates Product Releases
For the past few decades, software testers have relied on their coding skills to create high-quality programs that sell. The main problem with this method was that it would take years to release,...
View ArticleClik here to view.
5 Creative Ways Developers Are Using AI
Now that AI is seeing widespread use in the tech sector — along with a corresponding increase in the number of available AI-powered coding platforms, tools, and services — developers are grappling...
View ArticleClik here to view.
Mozilla Llamafile, Builders Projects Shine at AI Engineers World’s Fair
2024 Accelerator The AI Engineer World’s Fair, successor to last October’s AI Engineer Summit, lit up San Francisco’s downtown Marriott for three days this week with a sold-out audience of about 2,500...
View ArticleClik here to view.
Layer 8: A Semantic Networking Layer for the Age of AI
In the most famous line from the classic mockumentary “Spinal Tap,” Nigel Tufnel, the lead guitarist, points to an amplifier and notes the additional number on the dial, saying that it “goes up to...
View ArticleClik here to view.
Let’s Get Agentic: LangChain and LlamaIndex Talk AI Agents
The phrase “agentic systems” (or “agentic workflows”) popped up more than a few times at last week’s AI Engineer World’s Fair, held in San Francisco. AI agents were the focus of two leading AI...
View ArticleClik here to view.
Yes, Orchestration Is for AI, Too
AI is creating a seismic shift in software development. Yet, as AI revolutionizes our approach, fundamental software development principles are more important than ever. The role of the developer is...
View ArticleClik here to view.
Figma Redesign Shows How AI Can Transform Apps, Adds Dev Support
Figma’s co-founder and CEO Dylan Field demonstrated rollouts to Code Connect, an open source solution designed to keep frontend programmers from having to recode when designs change. Figma also...
View ArticleClik here to view.
Set Goals and Measure Progress for Effective AI Deployment
One of the most essential parts of the AI adoption cycle is often the most overlooked: ensuring the technology provides value to the business. The current AI frenzy is turning even the most...
View ArticleClik here to view.
Official PyTorch Documentary Revisits Its Past, and Its Future
Last week on PyTorch’s YouTube channel, the official PyTorch documentary, “Powering the AI Revolution” made its debut. What did the 35-minute video reveal about our favorite deep learning library?...
View ArticleClik here to view.
Transparency From Behind the Generative AI Curtain
AI foundation models have become like supermodels: In this post-ChatGPT world, names like LLaMA, Gemini and Claude now carry the same buzz and instant recognition for tech pundits that human...
View ArticleClik here to view.
Can WebGPU and WebAssembly Overcome Docker’s AI GPU Problem?
PARIS — WebAssembly and Docker have proven to provide advanced capabilities for the portability of applications and code. In WebAssembly’s case, the motto holds true in that it’s designed to allow...
View ArticleClik here to view.
The Rise of Intelligent Cloud
Imagine a world where cloud environments are not just platforms for storage, computation and scalability but are also capable of learning, adapting and evolving. This is the promise of an “intelligent...
View ArticleClik here to view.
AI Account Sprawl Is Hurting Your Company
An AI gateway is an emerging component of the IT estate that helps enterprises bring their use of AI under control by applying good practices for governance, security and operationalization. By...
View ArticleClik here to view.
Federated Language Models: SLMs at the Edge Plus Cloud LLMs
There have been two significant developments in the field of generative AI: the rise of small language models (SLM) that can run on devices; and the increased capability of large language models (LLM)...
View ArticleClik here to view.
DataStax Aims To Simplify Building AI Apps With RAGStack
ChatGPT wowed us all, but it was actually the simplest possible demonstration of what a large language model (LLM) could do, contended Ed Anuff, chief product officer at DataStax, a company that...
View ArticleClik here to view.
3 Key Trends for AI Engineering in the Cloud in 2024
The last 20 years of innovation have given us inflection points where whole new classes of jobs have been created. Think of the rise of the cloud architect and developer after AWS launched in 2006,...
View ArticleClik here to view.
Open Source AI: What About Data Transparency?
NEW YORK — At the United Nations OSPOs for Good Conference, we were once more reminded of the curious situation of AI and open source programs: While the foundations of AI are built on open source...
View ArticleClik here to view.
Goodbye Manual Prompting, Hello Programming With DSPy
The development of scalable and optimized AI applications using large language models (LLMs) is still in its growing stages. Building applications based on LLMs is complex and time-consuming due to...
View ArticleClik here to view.
NoSQL Database Growth Has Slowed, but AI Is Driving Demand
Four years ago, I wrote about how NoSQL databases were growing fast — in large part due to their compatibility with Artificial Intelligence (AI) and Machine Learning (ML). But that was before the...
View ArticleClik here to view.
Use Your Data in LLMs With the Vector Database You Already Have
Vector databases allow you to enhance your LLM models with data from your internal data stores. Prompting the LLM with local, factual knowledge can allow you to get responses tailored to what your...
View Article