InfoQ Homepage Artificial Intelligence Content on InfoQ
-
Confluent Cloud for Apache Flink is Now Generally Available with AI Features
Confluent announced last month the general availability (GA) of Confluent Cloud for Apache Flink. This fully-managed service enables real-time data processing and the creation of high-quality, reusable data streams. The service is available across Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.
-
Ines Montani at QCon London: Economies of Scale Can’t Monopolise the AI Revolution
During her presentation at QCon London, Ines Montani, co-founder and CEO of explosion.ai (the maker of spaCy), stated that economies of scale are not enough to create monopolies in the AI space and that open-source techniques and models will allow everybody to keep up with the “Gen AI revolution”.
-
Enhancing Developer Experience for Creating Artificial Intelligence Applications
For one company, large language models created a breakthrough in artificial intelligence (AI) by shifting to crafting prompts and utilizing APIs without a need for AI science expertise. To enhance developer experience and craft applications and tools, they defined and established principles around simplicity, immediate accessibility, security and quality, and cost efficiency.
-
Devnexus 2024 Celebrates 20 Years of Java Developer Conferences
Celebrating its 20th year, Devnexus 2024 was held from April 9-11, 2024, at the Georgia World Congress Center in Atlanta, Georgia. The event featured speakers from the Java community who delivered workshops and talks on tracks such as: Agile; Architecture; Artificial Intelligence; Cloud Technology; Core Java; Jakarta EE; Core Java; and Security.
-
Rachael Greaves at QCon London: Ethical AI Can Decrease the Impact of Data Breaches
At QCon London, Rachael Greaves, chief executive officer at Castlepoint Systems, presented both the obligations and benefits of data minimisation as a mechanism to decrease the impact of data breaches. AI autoclassification and automatic decision-making tools help with the ever-increasing data volumes as long as ethical principles are considered, allowing decisions to be challenged.
-
Stability AI Releases 3D Model Generation AI Stable Video 3D
Stability AI recently released Stable Video 3D (SV3D), an AI model that can generate 3D mesh object models from a single 2D image. SV3D is based on the Stable Video Diffusion model and produces state-of-the-art results on 3D object generation benchmarks.
-
Mistral Large Foundation Model Now Available on Amazon Bedrock
AWS announced the availability of the Mistral Large Foundation Model on Amazon Bedrock during the recent AWS Paris Summit. This announcement comes days after the release of Mistral AI Models on Amazon Bedrock.
-
How to Do Sustainable Software Development
Software sustainability includes computing for environmental purposes and using resources appropriately. According to Coral Calero, software engineers need a holistic way of looking at software and should be aware of the environmental impact of software. Several tools and frameworks are available for software engineers to do sustainable software development.
-
Google Announces Agent Builder, Expanded Gemini 1.5, Open-Source Additions
At the Google Cloud Next 2024 event, Google announced the launch of Vertex AI Agent Builder, the public preview of Google's most advanced generative AI model, Gemini 1.5 Pro, and the addition of open-source language models to the Vertex AI platform.
-
Fix Your SDLC before Adopting Gen AI in Your Organisation: Bannon’s Call to Action at QCon London
During her keynote at QCon London, Tracy Bannon, architect and researcher at MITRE, argued that AI will be able to enhance the software development lifecycle, though currently it’s at the “code completion” rather than “code generation” phase. Throughout her presentation, she continuously stresses the importance of keeping humans in the loop and fixing your company’s SDLC before embracing AI.
-
QCon London: Lessons Learned from Building LinkedIn’s AI/ML Data Platform
At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning.
-
QCon London: gRPC Migration Automation at LinkedIn
At QCon London 2024, Karthik Ramgopal and Min Chen described how AI helped LinkedIn change the remote procedure calls (RPC) protocol for 50,000 production endpoints from Rest.li to Google's gRPC. A planned 2-3 year manual migration turned into an AI-supported migration lasting 2-3 quarters. It changed 20 million lines of code across 2000 services – without business interruption.
-
Large Language Models for Code by Loubna Ben Allal at QCon London
At QCon London, Loubna Ben Allal discussed Large Language Models (LLMs) for code. She discussed the lifecycle of code completion models, which consists of pre-training on vast codebases and finetuning and continuous adaptation. She specifically discussed open-source models, which are powered by platforms like Hugging Face.
-
Efficient DevSecOps Workflows with a Little Help from AI: Q&A with Michael Friedrich
At QCon London, Michael Friedrich, senior developer advocate at GitLab, discussed how AI can help in DevSecOps workflows. His session was part of the Cloud-Native Engineering track on the first day of the conference. InfoQ interviewed Friedrich after the session.
-
Navigating LLM Deployment: Tips, Tricks and Techniques by Meryem Arik at QCon London
At QCon London, Meryem Arik discussed deploying Large Language Models (LLMs). While initial proofs of concept benefit from hosted solutions, scaling demands self-hosting to cut costs, enhance performance with tailored models, and meet privacy and security requirements. She emphasized understanding deployment limits, quantization for efficiency, and optimizing inference to fully use GPU resources.