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Atlassian’s New AI Product Gives Developers Access to Agents
Atlassian, the creators of Jira, released a generative AI product called Rovo that features pre-configured AI agents and the ability to create your own AI agents using natural language. Rovo also has...
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Deno 2.0, Angular Updates, Anthropic for Devs, and More
The Deno team introduced a new Deno for Enterprise program Wednesday, along with releasing Deno 2.0. Deno for Enterprise includes priority support, direct access to their engineers, guaranteed...
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Traceability in AI-Enhanced Code: A Developer’s Guide
The swift and widespread adoption of Generative AI has permeated business sectors across the globe. With transcription tools and content creation readily available, AI’s potential to reshape the...
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How To Increase Plasticity in LLMs and AI Applications
Deep learning models — including large language models like ChatGPT, Gemini and Claude — seem like powerful tools that have been trained on a large body of knowledge. But there are limits to their...
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The Secret Sauce for Vector Search: Training Embedding Models
In their zeal to reap the countless benefits of generative machine learning models, organizations are rushing to embed their data for various forms of vector similarity search. Many are focused on...
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Improving Application Security Requires Defining Better Metrics
An essential step in safeguarding your applications running in the cloud is to identify and fix potential risks before they are exploited. It is especially important to tie effective success metrics...
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Graph RAG: How To Squeeze More Value From AI
These days, it seems like everyone is doing retrieval-augmented generation (RAG), and more and more are adding knowledge graphs to make graph RAG. But many of them get stuck in the R&D stage,...
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Tecton Tackles Next Big GenAI Challenge: Personalization
Just having a well-tuned model is not enough to enjoy success with generative AI. You also need to connect it firmly to the business practices. “Everybody has access to the same models now. Everybody...
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Self-Driving Software: Solver Launches Autonomous AI Coder
What self-driving is to the automobile industry, Solver hopes to be for the programming industry. Solver is the brainchild of Mark Gabel, formally the chief scientist at Viv (an AI assistant company...
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There Is Just One Way To Do Open Source Security: Together
ATLANTA — At the first Linux Foundation’s Securing Open Source Software (SOSS) Fusion conference, security company CEO HackerOne Mårten Mickos shared his insights on the intersection of artificial...
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Augment AI Code Assistant Targets Large Development Teams
Software engineering is not a solo sport but most AI coding assistants are designed as though developers work alone. A new AI coding assistant released today, Augment AI, is designed for large...
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What ChatGPT and Claude Can See on Your Screen
Pasting screenshots into ChatGPT, and now Claude, has become a regular practice for me. As we first saw in my post about an LLM-backed Datasette plugin, the ability of LLMs to read text in images has...
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How Apollo Makes LLMs More Reliable With GraphQL
NEW YORK — We all know how AI/ML can be a hit or miss for DevOps support and application development. However, in the case of GraphQL search queries, it appears to function at least reasonably well —...
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DORA 2024: AI and Platform Engineering Fall Short
While both AI and platform engineering might make developers feel more productive and satisfied at work, they may be contributing to the creation of slower, more unstable software, according to the...
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Is AI the Antidote to Software Development Complexity?
Things we expect to simplify life sometimes complicate it. Installing a new app-based home security system may require learning to use different tools or dealing with false alarms. If you get an...
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The Open Source AI Definition Is Out
RALEIGH, N.C. — The Open Source Initiative (OSI) has officially released version 1.0 of its Open Source AI Definition (OSAID) on Oct. 28 at the 2024 All Things Open conference this week. It’s been a...
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AI Won’t Fix Your Software Delivery Problems
It’s complicated. While the industry faces crucial debates over intellectual property and the environmental impacts of AI, there is a more fundamental issue: How do we use these tools to deliver...
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GraphRAG 101: Increasing GenAI Accuracy and Completeness
Companies have been applying generative AI across a wide range of functions, including customer support, sales, legal, marketing and many others. As of 2024, 92% of the Fortune 500 have adopted GenAI...
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How Salesforce Built an AI-Driven App in Under 4 Days
Word got out that the Salesforce events team planned to build a custom AI for the Dreamforce conference app. This surprised the online CRM’s AI team, which had already created and was using a new AI...
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AI Testing: More Coverage, Fewer Bugs, New Risks
The advent of generative AI is swiftly ushering in a new era in software testing. With AI test recorders designed to perform equivalent work to a human test automation engineer, GenAI has become so...
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GitHub Unveils AI Tool for Micro Apps and Improves Copilot
At its user conference in San Francisco this week, GitHub introduced a new AI tool designed to let developers build applications in natural language. Called GitHub Spark, the AI tool creates...
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The 10x Developer vs. AI: Will Tech’s Elite Coder Be Replaced?
The mythical 10x developer. In our industry, it’s as rare as a unicorn. It’s the George Hotz-type — the kind of developer who can code a neural network from scratch in hours, jailbreak an iPhone as a...
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How Liquid AI Is Challenging Transformer-Based AI Models
Despite their relatively impressive capabilities, most conventional deep learning AI models suffer from a number of limitations — such as not being able to recall previously learned knowledge after...
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Shrinking Embeddings for Speed and Accuracy in AI Models
As AI continues to evolve, so does the need for faster, more efficient systems. Two key innovations — Matryoshka Representation Learning (MRL) and Binary Quantization Learning (BQL) — are setting new...
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Running Llama 3.2 on AWS Lambda
Llama 3.2 1B is a lightweight AI model that makes it interesting for serverless applications since it can be run relatively quickly without requiring GPU acceleration. We’ll use models from Hugging...
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Navigating the Turbulent Waters of AI Security
German physicist Werner Heisenberg, on his deathbed, said, “When I meet God, I am going to ask him two questions: Why relativity? And why turbulence? I really believe he will have an answer for the...
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