By
Paula ParisiOctober 31, 2024
Microsoft is previewing GitHub Copilot for Azure in an ambitious expansion of its AI app development toolkit that some say could fundamentally change how developers build software for the AI era. The new premise is that switching from one software to another, as developers often do, should be seamless, not disruptive — sort of a real-time language translation and integration system for code. To fend off the move by Microsoft, AWS announced it is making its Q Developer AI code assistant available as an inline chat add-on accessible from IDEs like JetBrains and Microsoft’s own Visual Studio. Continue reading Microsoft, Amazon Jockey for Lead Among AI Code Assistants
By
Paula ParisiOctober 16, 2024
OpenAI has announced Swarm, an experimental framework that coordinates networks of AI agents, and true to its name the news has kicked over a hornet’s nest of contentious debate about the ethics of artificial intelligence and the future of enterprise automation. OpenAI emphasizes that Swarm is not an official product and says though it has shared the code publicly it has no intention of maintaining it. “Think of it more like a cookbook,” OpenAI engineer Shyamal Anadkat said in a social media post, calling it “code for building simple agents.” Continue reading OpenAI Tests Open-Source Framework for Autonomous Agents
By
Paula ParisiOctober 10, 2024
Databricks Apps is a new platform designed to make building internal data and AI applications something that can be done in a few clicks. Available now in public preview on AWS and Azure, the template-based system lets users weave data and frameworks of choice into full-featured apps that can run in the Databricks environment. The company says the system can code and deploy a secure data app with AI integration in five minutes. “Ideal use cases include data visualization, AI applications, self-service analytics and data quality monitoring,” according to the San Francisco-based company. Continue reading Databricks Previews Toolkit for Internal Data, AI App Creation
By
Paula ParisiOctober 2, 2024
Snap Inc. is leveraging its relationship with Google Cloud to use Gemini for powering generative AI experiences within Snapchat’s My AI chatbot. The multimodal capabilities of Gemini on Vertex AI will greatly increase the My AI chatbot’s ability to understand and operate across different types of information such as text, audio, image, video and code. Snapchatters can use My AI to take advantage of Google Lens-like features, including asking the chatbot “to translate a photo of a street sign while traveling abroad, or take a video of different snack offerings to ask which one is the healthiest option.” Continue reading Snapchat: My AI Goes Multimodal with Google Cloud, Gemini
By
Paula ParisiSeptember 16, 2024
OpenAI is previewing a new series of AI models that can reason and correct complex coding mistakes, providing a more efficient solution for developers. Powered by OpenAI o1, the new models are “designed to spend more time thinking before they respond, much like a person would,” and as a result can “solve harder problems than previous models in science, coding, and math,” OpenAI claims, noting that “through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes.” The first model in the series is being released in preview in OpenAI’s popular ChatGPT and in the company’s API. Continue reading OpenAI Previews New LLMs Capable of Complex Reasoning
By
Paula ParisiJuly 29, 2024
Airtable, a 10-year-old firm focused on customized apps, is launching Cobuilder, which uses AI to turn a concept into a customizable application “in seconds,” without the need for human coding. The debut adds to a rapidly expanding field of no-code platforms that help non-technical types develop software suitable for enterprise use. “Within the next five years, teams will build the vast majority of applications in-house, customizing them to transform their most critical workflows,” predicts Airtable co-founder and CEO Howie Liu. “To get there, knowledge workers who are closest to the work need to be empowered to build.” Continue reading Airtable Enters No-Code Enterprise App Space with Cobuilder
By
Paula ParisiJuly 12, 2024
Amazon announced the public preview launch of its GenAI-powered App Studio service. The platform — which is geared toward professionals who lack extensive software development skills — builds full-featured, enterprise-level apps using natural language prompts. Users simply describe what they would like the app to accomplish and the data sources available to it and App Studio will produce in minutes what the company claims, “could have taken a professional developer days to build from scratch.” The announcement was made during this week’s AWS Summit in New York City. Continue reading AWS Releases GenAI-Powered App Studio in Public Preview
By
Paula ParisiMay 28, 2024
Meta Platforms has unveiled its first natively multimodal model, Chameleon, which observers say can make it competitive with frontier model firms. Although Chameleon is not yet released, Meta says internal research indicates it outperforms the company’s own Llama 2 in text-only tasks and “matches or exceeds the performance of much larger models” including Google’s Gemini Pro and OpenAI’s GPT-4V in a mixed-modal generation evaluation “where either the prompt or outputs contain mixed sequences of both images and text.” In addition, Meta calls Chameleon’s image generation “non-trivial,” noting that’s “all in a single model.” Continue reading Meta Advances Multimodal Model Architecture with Chameleon
By
Paula ParisiMay 16, 2024
Google has infused search with more Gemini AI, adding expanded AI Overviews and more planning and research capabilities. “Ask whatever’s on your mind or whatever you need to get done — from researching to planning to brainstorming — and Google will take care of the legwork” culling from “a knowledge base of billions of facts about people, places and things,” explained Google and Alphabet CEO Sundar Pichai at the Google I/O developer conference. AI Overviews will roll out to all U.S. users this week. Coming soon are customizable AI Overview options that can simplify language or add more detail. Continue reading Google Ups AI Quotient with Search-Optimized Gemini Model
By
Paula ParisiMay 15, 2024
IBM has released a family of its Granite AI models to the open-source community. The series of decoder-only Granite code models are purpose-built to write computer code for enterprise developers, with training in 116 programming languages. These Granite models range in size from 3 to 34 billion parameters in base model and instruction-tuned variants. They offer a range of uses, from modernizing older code with new languages to optimizing programs for on-device memory constraints, such as might be experienced when conforming for mobile gadgets. In addition to generation, the models can repair and explain code. Continue reading IBM Introduces Granite LLMs for Enterprise Code Developers
GitHub has introduced Copilot Workspace, a Copilot-native developer environment for artificial intelligence, in technical preview. Developers are invited to sign up for a waitlist for the service, which allows the use of natural language to plan, build, test and run code. The Microsoft-owned company has introduced various aspects of Copilot over the past few years, adding an autocomplete pair programmer in 2022, and in 2023 Copilot Chat for natural language coding, debugging and testing, “allowing developers to converse with their code in real time.” The “task-centric” Copilot Workspace leverages different agents for a “start-to-finish experience.” Continue reading GitHub Puts Copilot Workspace Developer Platform in Preview
By
ETCentric StaffApril 10, 2024
Google is attacking slow-loading web pages with the new JPEG image encoder/decoder Jpegli, which offers a 35 percent compression ratio improvement using high quality compression settings, the Alphabet company says. The Jpegli JPEG coding library offers backward compatibility via “a fully interoperable encoder and decoder complying with the original JPEG standard and its most conventional 8-bit formalism, and API/ABI compatibility with libjpeg-turbo and MozJPEG,” Google says. The resulting images compressed using Jpegli are “more precise and psychovisually effective” as a result of computations that make images “look clearer” with “fewer observable artifacts.” Continue reading Google Introduces Faster, More Efficient JPEG Coding Library
By
ETCentric StaffMarch 14, 2024
Months-old startup Cognition AI has emerged from stealth mode with Devin, a generative platform it is calling “the world’s first fully autonomous AI software engineer.” Although Cognition has yet to make Devin widely available, much less allow independent testing, if its claims are true it would mark a turning point in the AI coding space, moving it from a field of AI assistants to a full-fledged AI engineer. Based on natural language instruction, Devin could potentially take a project from concept to execution rather than simply suggesting code snippets or offering barebones frameworks. Continue reading Startup Cognition Launches AI Software Coding Engine Devin
By
ETCentric StaffMarch 14, 2024
Having fended off challenges in the short-form video sphere since its late 2016 launch, it now appears TikTok is playing offense, laying the groundwork for a photo-sharing app that has drawn comparisons to Instagram and Pinterest. Avid TikTok users are probably familiar with a feature that lets them post still images as moving images that can be examined by advancing frame-by-frame. Now TikTok seems to want to improve that approach by building a separate TikTok Photos app to which users of the primary platform can export and showcase their still images to Android and iOS. Continue reading TikTok Updates Its Code to Sync to Separate ‘TikTok Photos’
By
ETCentric StaffMarch 11, 2024
Google has rolled out an open-source marketing mix model (MMM) called Meridian that aims to help in formulating cross-channel media strategies in the current environment of fragmented media consumption and privacy changes. As marketers contend with Google’s plan to sunset the use of third-party cookies by the end of this year, MMMs — classic tools of yesteryear — “are experiencing a renaissance,” says the search giant. MMMs are statistical analyses companies use to help measure the impact of cross-channel marketing sales. Google says it has “observed more customers turning to MMMs, especially performance and full-funnel marketers.” Continue reading Google Introduces Open-Source Marketing Measurement Tool