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CodyCody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored for both solo developers and collaborative teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude 3.5 Sonnet and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.
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Our goal is to free ML engineers from the complexities of data engineering, allowing them to focus on their true passion: building advanced models more effectively. Our cutting-edge product provides a solid framework that greatly simplifies the process for developers to access, analyze, and share visual data on a large scale, making it significantly more manageable. Users have the capability to automatically create custom interval attributes utilizing pre-trained extractors or any preferred model, which enhances the adaptability of data manipulation. The platform supports efficient data visualization and model performance analysis by integrating custom attributes with standard KPIs. This capability empowers users to query data, uncover rare edge cases, and assemble new training datasets from their entire data lake effortlessly. Furthermore, it streamlines the saving, editing, versioning, commenting, and sharing of frames, sequences, or objects with both team members and external collaborators. SiaSearch distinguishes itself as a data management solution that automatically derives frame-level contextual metadata, facilitating quick data exploration, selection, and assessment. By automating these tasks with intelligent metadata, productivity in engineering can potentially more than double, effectively relieving development bottlenecks in the realm of industrial AI. Consequently, this allows teams to push the boundaries of innovation in their machine learning projects at a much quicker pace and with greater efficiency. Additionally, the enhanced collaboration features foster a more cohesive working environment, ultimately leading to even higher quality outcomes.
What is IBM Video Explorer Platform?
The Video Explorer Platform acts as a holistic tool for creating and launching video analytics applications that utilize computer vision technology. It boasts a flexible application framework that can be customized to align with unique business requirements, ensuring smooth integration with existing systems used by customers. This platform enables organizations to deploy video analytics solutions quickly and effectively. When paired with the IBM Visual Builder (IVB), it provides users with a cohesive, all-in-one approach to developing and launching video analytics applications, incorporating essential tasks such as image labeling, image augmentation, and model training. Moreover, it includes powerful features for managing various data sources, including video devices, images, and offline video content, along with capabilities for real-time video browsing, image extraction, data storage, model mapping, and configuring event processing rules. Ultimately, the Video Explorer Platform is crafted to equip businesses with the essential tools needed to implement video analytics successfully, driving innovation and enhancing operational efficiency. By utilizing this platform, companies can harness the power of video data to gain valuable insights and make informed decisions.
Integrations Supported
Amazon Web Services (AWS)
Eviden MDR Service
IBM Cloud
NVIDIA EGX Platform
Integrations Supported
Amazon Web Services (AWS)
Eviden MDR Service
IBM Cloud
NVIDIA EGX Platform
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SiaSearch
Date Founded
2019
Company Location
Germany
Company Website
www.siasearch.io
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/products/vepakacva
Categories and Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Categories and Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration