The explosion in interest in AI, particularly generative AI, has had many positive benefits: increased productivity, easier and faster access to information, and often a better user experience in applications that have embedded AI chatbots. But for all its positives, there is one huge problem that still needs solving: how do we power it all? … continue reading
Google is making it easier for companies to build generative AI responsibly by adding new tools and libraries to its Responsible Generative AI Toolkit. The Toolkit provides tools for responsible application design, safety alignment, model evaluation, and safeguards, all of which work together to improve the ability to responsibly and safely develop generative AI. Google … continue reading
DevOps platform provider Opsera today announced AI Code Assistant Insights, empowering enterprises to improve developer productivity, impact, time savings and accelerate the ROI of their investment in AI Code Assistants. “IDC research finds that on average, developers estimate a 35% increase in their productivity with the use of an AI coding assistant. However, it is … continue reading
Anthropic has a number of updates to share about its AI models, including an updated version of Claude 3.5 Sonnet, the release of Claude 3.5 Haiku, and a public beta for a capability that enables users to instruct Claude to use computers as a human would. The new version of Claude 3.5 Sonnet features improvements … continue reading
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
