AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. A popular use case right now is ChatGPT, which allows you to conversationally ask questions to a chatbot and get back relevant information because the AI can understand what you’re asking in plain language. Beyond just answering questions, these AIs are capable of writing code, creating detailed plans based on your specifications, summarizing documents, and more.
AI has made its way into the software development space in a number of ways. AI can be baked into applications to improve end user experience by creating personalized recommendations and tailoring experiences to the end user. AI-assisted development tools can complete the piece of code you started writing, or even offer suggestions for how to improve your code. Generative AI chatbots, such as ChatGPT, can be used to ask for specific code snippets to perform a task, can explain what is happening in a piece of code, or can be used to troubleshoot why your code isn’t working as intended.
Read the articles below for more information on what you need to know about AI.
IBM has announced the third-generation of its open source Granite LLM family, which features a number of different models ideal for various use cases. “Reflecting our focus on the balance between powerful and practical, the new IBM Granite 3.0 models deliver state-of-the-art performance relative to model size while maximizing safety, speed and cost-efficiency for enterprise … continue reading
Microsoft is continuing to improve generative AI across Windows with new updates to Microsoft 365 Copilot. The company has announced that the ability for users to create their own autonomous agents in Copilot Studio is moving from private to public preview next month. Agents can be triggered by specific events and act on their own, … continue reading
Gemini users will now be able to more easily select the model that fits their requirements by using Google AI Studio’s new Compare Mode. “As a developer, you understand the critical tradeoffs involved in model selection, such as cost, latency, token limits, and response quality. Compare Mode simplifies this process by allowing you to evaluate … continue reading
Endor Labs is trying to help companies select more secure open source models with the release of Endor Scores for AI Models. The new scoring system evaluates AI models on Hugging Face using 50 metrics related to security, popularity, quality, and activity. The company had previously developed a scoring system for open source packages in … continue reading
Over the last year, Atlassian has been introducing a number of AI enhancements across its products to help users be even more productive, such as generative AI in Confluence and Jira, suggestions on how to break down large projects, and AI generated automation rules. Additionally, earlier this year, the company announced Atlassian Rovo, a generative … continue reading
The process of coming up with an official Open Source AI Definition has been progressing along, and now the Open Source Initiative (OSI) — the group that has been spearheading this effort — has announced Release Candidate 1 for the definition. The OSI started the process of creating this definition back in 2022, and for … continue reading
OpenAI held its annual DevDay conference yesterday, where it announced its Realtime API, as well as features like prompt caching, vision fine-tuning, and model distillation. The Realtime API is designed for building low-latency, multimodal experiences, and it’s now available as a public beta. The company shared a couple of examples of companies that are using … continue reading
Liquid AI, an AI startup spun out from MIT, has announced its first series of generative AI models, which it refers to as Liquid Foundation Models (LFMs). “Our mission is to create best-in-class, intelligent, and efficient systems at every scale – systems designed to process large amounts of sequential multimodal data, to enable advanced reasoning, … continue reading
Today’s business landscape is arguably more competitive and complex than ever before: Customer expectations are at an all-time high and businesses are tasked with meeting (or exceeding) those needs, while simultaneously creating new products and experiences that will provide consumers with even more value. At the same time, many organizations are strapped for resources, contending … continue reading
The software delivery company Harness is jumping on the AI train with a number of new AI solutions across its DevOps, QA, and Code Generation solutions. Harness AI DevOps Assistant uses AI to optimize workflows and track deployments, and can make recommendations on what improvements to make. It also helps with the creation of pipelines … continue reading
Digital twins are sophisticated software constructs that emerged in the field of product lifecycle management to model and design complex devices like jet engines and nuclear reactors. Today, digital twins extend their utility beyond the design phase to tracking live systems. They ingest device telemetry, maintain state information, and analyze changing conditions in real time. … continue reading
Back in May, OpenAI announced that it was forming a new Safety and Security Committee (SSC) to evaluate its current processes and safeguards and make recommendations for changes to make. When announced, the company said the SSC would do evaluations for 90 days and then present its findings to the board. Now that the process … continue reading
