InfoQ Homepage Artificial Intelligence Content on InfoQ
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Researchers at Stanford Use Brain Signals to Control Intelligent Robots
In a paper presented at the 7th Annual Conference on Robot Learning last November, a team of Stanford University researchers presented an intelligent human brain-robot interface that enables controlling a robot through brain signals. Dubbed NOIR, short for Neural Signal Operated Intelligent Robots, the system uses electroencephalography (EEG) to communicate human intentions to the robots.
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OpenAI Adopts Preparedness Framework for AI Safety
OpenAI recently published a beta version of their Preparedness Framework for mitigating AI risks. The framework lists four risk categories and definitions of risk levels for each, as well as defining OpenAI's safety governance procedures.
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Griffin 2.0: Instacart Revamps Its Machine Learning Platform
Instacart created the next-generation platform based on experiences using the original Griffin machine-learning platform. The company wanted to improve user experience and help manage all ML workloads. The revamped platform leverages the latest developments in MLOps and introduces new capabilities for current and future applications.
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Quarkus LangChain4J Extension Allows Developers to Integrate LLMs in Their Quarkus Applications
Inspired by the presentation “Java Meets AI” at Devoxx BE 2023, the Quarkus team started working on an extension based on the LangChain4J library, the Java re-implementation of the langchain library. This would allow developers to integrate LLMs Quarkus applications. The current is version, 0.5. The extension was built using Quarkus' usual declarative style, resembling the REST client.
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Google Unveils Duet AI for Developers Offering AI-Powered Coding Assistance and Chat Functionality
Recently, Google announced the general availability (GA) of its Duet AI for Developers, providing developers with IDE coding assistant and chat.
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OpenAI Publishes GPT Prompt Engineering Guide
OpenAI recently published a guide to Prompt Engineering. The guide lists six strategies for eliciting better responses from their GPT models, with a particular focus on examples for their latest version, GPT-4.
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Using Gemini AI in Android Apps with the New Google AI SDK
Google introduced its new Google AI SDK to simplify integrating Gemini Pro, its best-performing model to date, in Android apps. Using this SDK, developers need not build and manage their own backend infrastructure.
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Amazon Q Code Transformation: Automating Java Application Upgrades
AWS has recently announced the preview of Amazon Q Code Transformation, a service designed to simplify the process of upgrading existing Java application code through generative artificial intelligence. The new feature aims to minimize legacy code and automate common language upgrade tasks required to move off older language versions.
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Microsoft Announces Small Language Model Phi-2
Microsoft Research announced Phi-2, a 2.7 billion-parameter Transformer-based language model. Phi-2 is trained on 1.4T tokens of synthetic data generated by GPT-3.5 and outperforms larger models on a variety of benchmarks.
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Cloudflare's Journey in ML and AI: MLOps Platform and Best Practices
Cloudflare's blog described its MLOps platform and best practices for running Artificial Intelligence (AI) deployment at scale. Cloudflare's products, including WAF attack scoring, bot management, and global threat identification, rely on constantly evolving Machine Learning (ML) models. These models are pivotal in enhancing customer protection and augmenting support services.
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Microsoft Announces Copilot for Azure, an AI Assistant for IT Professionals
Microsoft has introduced Copilot for Azure, an AI-based tool designed to enhance the management and operation of cloud infrastructure and services. It leverages the capabilities of large language models (LLMs) with Azure's Resource Model to provide a comprehensive understanding and handling of Azure's functionalities, spanning from cloud services to edge technology.
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Meta and IBM Lead Formation of AI Alliance to Drive Open-Source Innovation
A new consortium, led by Meta and IBM, has been formed to support open-source AI. The AI Alliance comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic, with the goal of collaboratively developing tools and programs to facilitate open development.
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JetBrains Launches AI Assistant Integrated in its 2023.3 Release IDEs
JetBrains refreshes all of its IDEs in the last release of the year and promotes its integrated AI Assistant out of preview into general availability for paying customers. Besides its strong integration with the IDEs, JetBrains AI Assistant tries to stand out thanks to its support for multiple LLMs.
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Microsoft's Orca 2 LLM Outperforms Models That Are 10x Larger
Microsoft Research released its Orca 2 LLM, a fine-tuned version of Llama 2 that performs as well as or better than models that contain 10x the number of parameters. Orca 2 uses a synthetic training dataset and a new technique called Prompt Erasure to achieve this performance.
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Google Launches New Multi-Modal Gemini AI Model
On December 6, Alphabet released the first phase of its next-generation AI model, Gemini. Gemini was overseen and driven by its CEO, Sundar Pichai and Google DeepMind. Gemini is the first model to outperform human experts on MMLU (Massive Multitask Language Understanding), one of the most popular methods to test the performance of language models.