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Deep dive into GROOT N1.5: A Foundation Model for Generalist Humanoid Robots

Deep dive into GROOT N1.5: A Foundation Model for Generalist Humanoid Robots

Today, we dive into GROOT N1.5, the latest iteration of NVIDIA’s open foundation model for generalist humanoid robots. NVIDIA has shared limited details about GROOT N1.5. That said, the model builds closely on the foundation of its predecessor, GROOT N1, retaining many similarities in its core design

Decoding SmolVLA: A Vision-Language-Action Model for Efficient and Accessible Robotics

Decoding SmolVLA: A Vision-Language-Action Model for Efficient and Accessible Robotics

In the rapidly advancing domain of robotic intelligence, Vision-Language-Action (VLA) models have emerged as crucial frameworks, empowering robots to interpret and perform tasks described using natural language. Despite their impressive capabilities, existing VLA models often require extensive computational resources, significantly restricting their accessibility and adoption in real-world

Dissecting Action Chunking with Transformers (ACT): Precision Imitation Learning for Robotic Manipulation

Fine-grained robotic manipulation tasks, such as threading a zip tie or opening a translucent condiment cup, demand high precision, delicate coordination, and robust visual feedback. These tasks challenge traditional imitation learning due to compounding errors, non-Markovian human behavior, and noisy demonstration data. Action Chunking with Transformers (ACT) is

A Step-by-Step Guide to Training and Testing the BB-ACT AI Model

A Step-by-Step Guide to Training and Testing the BB-ACT AI Model

0:00 /0:18 1× BB-ACT is an ACT (Action Chuking Transformer) model enhanced with bounding boxes conditioning. It allows your robot to perform complex "pick and place" tasks. In this blog post, we’ll show you just how easy it is to train and test BB-

Understanding pi0 by Physical Intelligence: A Vision-Language-Action Flow Model for General Robot Control

Understanding pi0 by Physical Intelligence: A Vision-Language-Action Flow Model for General Robot Control

In this blog post, we explore the π₀ model, a Vision-Language-Action (VLA) flow model developed by Physical Intelligence for general robot control. This post dissects the research paper, focusing on its architecture, training methodology, and experimental results. Model Overview The πzero model is designed as a foundation model

Dissecting GROOT N1: A Foundation Model for Generalist Humanoid Robots

Dissecting GROOT N1: A Foundation Model for Generalist Humanoid Robots

Today, we dive into GROOT N1, an open foundation model developed by NVIDIA for generalist humanoid robots. This Vision-Language-Action (VLA) model introduces a dual-system architecture and a novel training strategy to enable robots to reason about their environments, generate fluid actions, and adapt to new tasks efficiently.

Repair, merge and split LeRobot datasets

Repair, merge and split LeRobot datasets

TL;DR: You can now repair, merge and split LeRobot datasets with phospho. Works in the dashboard or in Python. The Challenges of LeRobot Datasets While LeRobot simplifies dataset creation, it has some notable limitations: * No way to delete faulty episodes: If a demonstration or experiment fails, you’re stuck

phospho: give a brain to your robot

TL;DR: phospho enables software engineers to train and build with the latest robotics AI models, even on low-cost hardware. Companies like NVIDIA, Hitachi, rerun.io and comma.ai use phospho to control robots intuitively, train advanced models and push the frontier of AI robotics. Imagine asking ChatGPT “What

A Simple Guide to Set Up Your LLM Backoffice with Docker

A Simple Guide to Set Up Your LLM Backoffice with Docker

Exciting news, phospho is now bringing brains to robots! With phosphobot, you can control robots, collect data, fine-tune robotics AI models, and deploy them in real-time. Check it out here: robots.phospho.ai. Simplify Your LLM Management with phospho Deploying and managing tools for large language models (LLMs)

Ai chat bubble: how to create a free custom AI assistant

Ai chat bubble: how to create a free custom AI assistant

Exciting news, phospho is now bringing brains to robots! With phosphobot, you can control robots, collect data, fine-tune robotics AI models, and deploy them in real-time. Check it out here: robots.phospho.ai. Deploy easily you custom AI assistant following this Github repository: AI Chat Bubble. 0:00

What is Personal Grounding for LLMs?

What is Personal Grounding for LLMs?

Personal grounding for LLMs involves customizing model responses based on user-specific data, making AI outputs more accurate. Phospho's platform supports grounding for effective product optimization and user satisfaction.

4 Essential LLM Model Tools to Find PMF with Your AI SaaS

4 Essential LLM Model Tools to Find PMF with Your AI SaaS

Discover four essential LLM model tools—Phospho, Helicone, Ollama, and LangChain—designed to help AI SaaS businesses achieve product-market fit. Compare their key features and find the best fit for refining and scaling your models with effective text analytics capabilities.

Gemini vs Claude vs Chat GPT for Writing: Which is Best?

Gemini vs Claude vs Chat GPT for Writing: Which is Best?

This article compares Gemini, Claude, and Chat GPT for writing tasks to find the right AI tool for your needs. Learn how each model differs in creativity, accuracy, and user customization, and use Phospho’s analytics to make data-driven decisions for content quality and consistency.

Is There an AI That Will Search for Images? Top 4 AI Tools

Is There an AI That Will Search for Images? Top 4 AI Tools

This guide explores AI tools for image search, highlighting Tak as a leading Perplexity alternative. Tak, Perplexity, Google Lens, and Bing Image Creator each offer unique features, from NLP-driven responses to robust image recognition, revolutionizing how users approach image-based searches.

Common AI Search Terms Analysis: Why 73% of Users Prefer AI Search Engines for Technical Questions

Common AI Search Terms Analysis: Why 73% of Users Prefer AI Search Engines for Technical Questions

AI search is now the go-to for technical queries, with 73% of users preferring it over traditional search. Discover common AI search terms and learn how Tak and Phospho support efficient, tailored responses for coding, finance, and research needs.

Tak: The Easiest AI to Search for YouTube Videos

Tak: The Easiest AI to Search for YouTube Videos

Tak by Phospho offers an AI-powered YouTube search engine that leverages NLP to provide accurate, intent-based video results, overcoming limitations of traditional keyword searches. It’s ideal for users looking for specific content and creators wanting better-targeted engagement.

How One Feature Makes Tak Better Than Perplexity.ai — and It’s Free!

How One Feature Makes Tak Better Than Perplexity.ai — and It’s Free!

Tak, a free Perplexity.AI alternative, provides self-learning search capabilities that evolve with user input, making it ideal for personalized, context-rich search experiences across industries.

The Best Free AI Search Engines for Developers

The Best Free AI Search Engines for Developers

Tak by Phospho is a fast, free AI search engine for developers. Compared with Perplexity and Phind, Tak offers coding-specific results and API integration, helping developers streamline workflows efficiently.

What AI Writing Apps Can Read Files Like Perplexity?

What AI Writing Apps Can Read Files Like Perplexity?

AI writing apps like Perplexity, Tak, Phospho, and free AI search engines provide file-reading capabilities, improving workflows for researchers, data analysts, and businesses. Learn about their benefits and how they help process large volumes of information quickly and efficiently.

Perplexity vs Poe: Which AI Search Tool is Better?

Perplexity vs Poe: Which AI Search Tool is Better?

This article compares AI search tools Perplexity and Poe, analyzing their strengths and weaknesses. It also introduces Phospho’s Tak, highlighting its superior analytics, custom metrics, and business-friendly features.

Tak: Perplexity alternative

Tak: Perplexity alternative

Tak is the best Perplexity alternative, offering personalized search results that improve with use. It’s free, accessible, and suited for various use cases, from academic research to everyday queries. Learn how Tak's advanced features, powered by Phospho, make AI search more effective.

How Does AI-Powered Search Work? Explaining RAG, LLM and Perplexity

How Does AI-Powered Search Work? Explaining RAG, LLM and Perplexity

AI-powered search engines using RAG and LLM perplexity deliver faster, more accurate, and contextually relevant search results. These technologies enable businesses across industries to enhance customer experience and streamline processes by providing real-time, reliable data.

The Role of Text Analytics in Improving AI Product Development

The Role of Text Analytics in Improving AI Product Development

Text analytics is key in AI product development, providing real-time insights to improve user understanding and accelerate product-market fit. Phospho offers a powerful platform for AI startups to leverage text data for more efficient product iterations and reduced churn.

What purpose do fairness measures serve in ai product development? How real-time monitoring and evaluation can ensure fair outcomes:

What purpose do fairness measures serve in ai product development? How real-time monitoring and evaluation can ensure fair outcomes:

Fairness measures in AI product development ensure unbiased outcomes across sectors like finance and healthcare. Phospho’s real-time monitoring tools help teams set fairness metrics, addressing bias while improving AI performance, user trust, and product-market fit.

Perplexity vs Chatgpt: Which is the best for your use case?

Perplexity vs Chatgpt: Which is the best for your use case?

Perplexity vs ChatGPT compares AI tools for research, problem-solving, and real-time search. Learn how Tak combines both, offering a personalized AI experience.