InfoQ Homepage Machine Learning Content on InfoQ
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Defensible Moats: Unlocking Enterprise Value with Large Language Models at QCon San Francisco
In a recent presentation at QConSFrancisco, Nischal HP discussed the challenges enterprises face when building LLM-powered applications using APIs alone. These challenges include data fragmentation, the absence of a shared business vocabulary, privacy concerns regarding data, and diverse objectives among stakeholders.
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Canonical Launches Charmed MLFlow to Simplify Management and Maintenance of ML Workflows
Based on the open-source MLflow platform, Canonical Charmed MLFlow aims to simplify the task of managing machine learning workflows and artifacts by using alternative packaging system and orchestration engine.
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Unpacking How Ads Ranking Works @ Pinterest: Aayush Mudgal at QCon San Francisco
At QCon San Francisco, Aayush Mudgal gave a talk on Pinterest's ad ranking strategy. Pinterest does both candidate retrieval and ranking, supported by user interaction data and what they are currently watching. They use neural networks to create embeddings for ads and users, where ads which are close to the user should be relevant. They train and deploy models on a daily basis.
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Grafana Introduces ML Tool Sift to Improve Incident Response
Grafana Labs has introduced "Sift," a feature for Grafana Cloud designed to enhance incident response management (IRM) by automating system checks and expediting issue resolution. Sift automates various aspects of incident investigation. Sift provides valuable insights into potential issues within Kubernetes environments, helping engineers focus on resolving incidents.
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AI a “Must-Have” in GitLab’s 2023 Global DevSecOps Report
GitLab has released their 2023 Global DevSecOps AI report, with the key finding that AI and ML use is evolving from a "nice-to-have" to a "must-have". The report shows that 23% of organizations are already using AI in software development, and of those, 60% are using it daily. Furthermore, 65% of respondents said they are using AI and ML for testing now, or would be within the next three years.
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AWS Unveils Multi-Model Endpoints for PyTorch on SageMaker
AWS has introduced Multi-Model Endpoints for PyTorch on Amazon SageMaker. This latest development promises to revolutionize the AI landscape, offering users more flexibility and efficiency when deploying machine learning models.
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AI, ML, Data Engineering News Roundup: Stable Chat, Vertex AI, ChatGPT and Code Llama
The most recent update, which covers developments through September 4, 2023, highlights significant pronouncements and accomplishments in the fields of artificial intelligence, machine learning, and data science. Developments from Stability AI, Google, OpenAI, and Meta were among this week's significant stories.
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Weekly Update on Large Language Models: PointLLM, WALL-E, AskIt, and Jais
The most recent compilation of advanced research, inventive applications, and notable unveilings in the realm of Large Language Models (LLMs) during the week starting September 4th, 2023.
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Google Announces Ray Support for Vertex AI to Boost Machine Learning Workflows
Google has announced that it is expanding its open-source support for Vertex AI, its machine learning platform, by adding support for Ray, an open-source unified compute framework. This move is aimed at efficiently scaling AI workloads and enhancing the productivity and operational efficiency of data science teams.
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6 Tracks Not to Miss at QCon San Francisco, October 2-6, 2023: ML, Architecture, Resilience & More!
At InfoQ’s international software development conference, QCon San Francisco (October 2-6) 2023, senior software practitioners driving innovation and change in software development will explore real-world architectures, technology, and techniques to help you solve such challenges.
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Stack Overflow Announced OverflowAI Initiative for Generative AI
Stack Overflow announced the roadmap for the integration of generative AI into their public platform, Stack Overflow for Teams, and brand new product areas, like an IDE integration that brings the vast knowledge of 58 million questions and answers from their community right into the area where developers find focus and get work done.
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AI, ML, Data Engineering News Roundup: Jupyter AI, AudioCraft, OverflowAI, StableCode and Tabnine
The latest update, which covers developments until August 7, 2023, highlights significant accomplishments and statements made in the fields of artificial intelligence, machine learning, and data science. This week's major news involved Jupyter, Meta AI, Overflow, Stability AI and Tabnine.
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The Challenges of AI Product Development
Developing artificial intelligence (AI) products involves creating models and feeding data to train them, testing the models, and deploying them. Software engineers can support the adoption of AI and machine learning (ML) in companies by building an understanding of the technologies, encouraging experimentation, and ensuring compliance with regulations and ethical standards.
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Tabnine Chat: AI Code Assistant Using Natural Language Launches in Beta
Tabnine has recently announced the beta of Tabnine Chat to interact with Tabnine’s AI models using natural language. The chat application works inside the IDE, allows organizations to train on permissive code only, and can run on isolated environment deployment.
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Feature Engineering at AirBnb Using Chronon
To increase productivity and scalability when creating new features to use in machine learning models, AirBnb has built Chronon, a solution to create the infrastructure required to turn raw data into features for training and inference.