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Description
Activeloop offers a comprehensive infrastructure for ongoing learning, aimed at teams engaged in software development, agent creation, and data pipeline management. At the heart of their offerings is Deeplake, a GPU-driven database specifically designed for agents, which operates on the principle that if artificial intelligence utilizes GPU technology, then the corresponding data should also be optimized for GPUs. Deeplake facilitates the grounding, versioning, querying, and GPU compatibility of AI agents by integrating both vector and tensor data into a unified storage solution, featuring GPU streaming capabilities for fine-tuning along with a serverless Postgres interface. This product empowers teams with a robust data engine for multimodal AI, enabling them to efficiently store, index, search, and stream data directly to their models and agents. Rather than viewing AI data as fragmented files, embeddings, metadata, and traces scattered across various disjointed systems, Activeloop consolidates these elements into a cohesive infrastructure that supports efficient retrieval, model training, fine-tuning, and memory management for agents. Additionally, the platform includes Hivemind, which transforms agent traces into collective team expertise, thereby allowing solutions developed once to be disseminated throughout the organization via trajectory capture, ultimately enhancing collaborative efficiency and innovation. This seamless integration of data and collaborative tools fosters an environment where teams can thrive in their AI initiatives.
Description
The Agentic Era represents a significant shift from the conventional application-focused computing landscape to a new domain characterized by agentic AI, which comprises autonomous, context-sensitive systems adept at acting, learning, and collaborating within intricate, ever-changing environments. These advanced intelligent agents are not limited to merely executing commands; rather, they are equipped to handle entire tasks, retain context and memory through large language models that are specifically designed for various fields, and have the capability to scale across multiple industries, potentially affecting millions. This progression necessitates an innovative operational mindset known as AgenticOps, alongside a revamped management framework based on three core principles: ensuring that humans remain engaged to contribute creativity and discernment, allowing agents to function effectively across disconnected systems with comprehensive cross-domain insights, and utilizing specialized models meticulously adjusted for their unique functions. Cisco brings this vision to fruition with AI Canvas, the first generative workspace in the industry that utilizes a multi-data and multi-agent architecture, paving the way for enhanced collaboration and efficiency. Furthermore, this pioneering approach signifies a major advancement in how organizations can leverage AI to enhance productivity and foster innovation.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Activeloop
Founded
2018
Country
United States
Website
www.activeloop.ai/
Vendor Details
Company Name
Cisco
Founded
1984
Country
United States
Website
blogs.cisco.com/news/welcome-to-the-agentic-era-humans-agents-achieving-more-together
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization