InfoQ Homepage Artificial Intelligence Content on InfoQ
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Nvidia's NeMo Guardrails Enhances Safety in Generative AI Applications
Nvidia's new NeMo Guardrails package for large language models (LLMs) helps developers prevent LLM risks like harmful or offensive content and access to sensitive data, by providing an essential layer of protection in an increasingly AI-driven landscape.
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Unified Analytics Platform: Microsoft Fabric
At the recent annual Build Conference, Microsoft introduced a unified analytics platform with Microsoft Fabric that brings together all the data and analytics that organizations need.
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Minecraft Welcomes Its First LLM-Powered Agent
Researchers from Caltech, Stanford, the University of Texas, and NVIDIA have collaboratively developed and released Voyager, an LLM power agent that utilizes GPT-4 to engage in Minecraft gameplay. Voyager demonstrates remarkable capabilities by learning, retaining knowledge, and showcasing exceptional expertise in Minecraft.
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AI, ML & Data News Roundup: Generative Fill, Copilot, Aria, and Brain Chips
The most recent update, covering the week starting May 22nd, 2023, encompasses the latest progress and declarations in the fields of data science, machine learning, and artificial intelligence. This week, the focus is on prominent figures such Adobe, Microsoft, Opera, and the University of Lausanne.
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Adopting Artificial Intelligence: Things Leaders Need to Know
Artificial intelligence (AI) can help companies identify new opportunities and products, and stay ahead of the competition. Senior software managers should understand the basics of how this new technology works, why agility is important in developing AI products, and how to hire or train people for new roles.
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Google Previews Studio Bot, a Coding Bot for Android Development
At Google I/O 2023, Google has previewed Studio Bot, an AI-powered coding bot integrated in Android Studio latest version, codenamed Hedgehog. Studio Bot aims to help developers generate code, unit tests, and fix errors.
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Hugging Face Releases StarCoder, the Next-Generation LLM for Seamless Code Generation
Hugging Face and ServiceNow have partnered to develop StarCoder, a new open-source language model for code. The model created as a part of the BigCode initiative is an improved version of the StarCoderBase model trained on 35 billion Python tokens. StarCoder is a free AI code-generating system alternative to GitHub’s Copilot, DeepMind’s AlphaCode, and Amazon’s CodeWhisperer.
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Meta Open-Sourced AI Tool to Animate Child and Amateur Drawings of Human Figure
Based on a joint research by Meta AI Research, Tencent America, MIT CSAIL, and Carnegie Mellon, Meta released Animated Drawings, an AI-based tool to create animations from hand drawn human-like characters.
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AI, ML & Data News Roundup: HuggingGPT, AWS Bedrock, Microsoft Visual ChatGPT, and StableLM
The latest update for the week of April 17th, 2023, includes the recent advancements and announcements in the domains of data science, machine learning, and artificial intelligence. The spotlight this week is on top players like Hugging Face, AWS, Microsoft, and Stability AI, who have introduced groundbreaking innovations.
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AWS Enters the Generative AI Race with Bedrock and Titan Foundation Models
AWS announced their entry into the generative AI race with the launch of Amazon Bedrock and Titan foundation models. Amazon aims to democratize access to generative AI technology, catering to customers across various industries and use cases. This groundbreaking development positions Amazon as a formidable competitor in the rapidly growing AI market.
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Meta AI Introduces the Segment Anything Model, a Game-Changing Model for Object Segmentation
Meta AI has introduced the Segment Anything Model (SAM), aiming to democratize image segmentation by introducing a new task, dataset, and model. The project features the Segment Anything Model (SAM) and the Segment Anything 1-Billion mask dataset (SA-1B), which is the most extensive segmentation dataset to date.
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Bloomberg Unveils a GPT Finance-Focused AI Model
Bloomberg has released BloombergGPT, a new large language model (LLM) that has been trained on enormous amounts of financial data and can help with a range of natural language processing (NLP) activities for the financial sector.
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Strategies and Principles to Scale and Evolve MLOps - at QCon London
At the QCon London conference, Hien Luu, senior engineering manager for the Machine Learning Platform at DoorDash, discussed strategies and principles for scaling and evolving MLOps. With 85% of ML projects failing, understanding MLOps at an engineering level is crucial. Luu shared three core principles: "Dream Big, Start Small," "1% Better Every Day," and "Customer Obsession."
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Responsible AI: from Principle to Practice at QCon London
At the QCon London conference, Microsoft's Mehrnoosh Sameki discussed Responsible AI principles and tools. She emphasized fairness, reliability, safety, privacy, inclusiveness, transparency, and accountability. Tools such as Fairlearn, InterpretML, and the Responsible AI dashboard help implement these principles.
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Microsoft Semantic Kernel Enables LLM Integration with Conventional Programs
Microsoft has open sourced Semantic Kernel (SK), a lightweight SDK enabling the integration of large language models (LLMs) with conventional programs which can leverage prompt templating, vectorized memory, intelligent planning, and other capabilities.