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Octopus models understand what you want – they read commands in natural language, analyze intent, and comprehend context.
Octopus models power AI Agents that take actions for you. They navigate interfaces, complete forms, perform calculations, and interact with apps, all behind the scenes.
Octopus models are efficient and compact enough to run locally on your existing devices. Your data never leaves your control.
“a groundbreaking new framework for on-device AI agents. The new era of on-device AI agents is coming.”
“an on-device action model, developers are showcasing the potential of Gemma to create impactful and accessible AI solutions.”
“Extremely fast, better than Llama+RAG, great results”
“Interesting idea to incorporate the functions into the model with fine-tuning to get reliable generation from small LLMs.”
“For all things tech, Techware is my ultimate destination. Quality, range, and service—impeccable.”
“With remarkable progress in on-device language modeling and function request abilities, Octopus v2 could revolutionize software development and spur innovation.”
“It is a prime example of efficiency and cost-effectiveness.”
“A novel approach that employs functional tokens to integrate multiple open-source models, each optimized for particular tasks.”
“This is amazing and will pave the path for agents on edge devices. .”
“This 2B LLMs is a breakthrough in the application of LLMs for function calling, specifically tailored for Android APIs.”
“These models possess the crucial ability to call functions, which is essential in creating”
“With the advances we are doing as well in model specialization, there’s no doubt that this approach is the beginning of something big.”
“As we can see from the research it can really overcome these limitations of other LLMs!”
“Nexa AI is making an indelible mark in AI's dynamic landscape every day, and Octopus v4 is a testament to that.”
“Octopus v2 represents a major leap towards making powerful AI accessible to everyone.”
“Octopus v2 showcases the potential to revolutionize how we interact with technology, emphasizing efficiency and privacy.”
“A Novel method enabling on-device models with 2 billion parameters to outperform GPT-4 in accuracy and latency, reducing context length by 95%.”
“Say goodbye to app overload! Meet Octopus V4, the AI that’s like having a super-powered all-in-one app.”
“This research marks a significant leap forward in the utilization of language models, presenting a robust framework with multiple specialized language models into a cohesive, graph-based system.”
“The dominance of proprietary, resource-intensive language models like GPT-4 is being challenged by the rise of powerful open-source alternatives.”
“Octopus v2 by Stanford University is not just a technical achievement but a beacon for the future of on-device AI applications.”
“Octopus v2 presents an opportunity to revolutionize customer interactions and service delivery.”
“Octopus v2 is not just another AI—it's a leap into the future of on-device intelligence..”
“Striking a balance between high accuracy and low latency, it's a game-changer in on-device AI performance.”
“Octopus v2 represents a major leap towards making powerful AI accessible to everyone.”
“Octopus v2 marks a significant leap towards sustainable, accessible, and user-friendly AI applications, addressing concerns around privacy, cost, and latency.”
“Octopus v2 represents a major leap towards making powerful AI accessible to everyone.”
“A monumental leap in function calling efficiency on devices, making real-world applications faster and smarter than ever imagined.”
“a groundbreaking new framework for on-device AI agents.”
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