language

Utilizing Advanced Linguistic Models for Autonomous Error Recovery in Home Robotics

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Even when some or all of those are addressed, there remains the question of what happens when a system makes an inevitable mistake. We can’t, however, expect consumers to learn to program or hire someone who can help any time an issue arrives. Thankfully, this is a great use case for LLMs (large language models) in the robotics space, as exemplified by new research from MIT. “LLMs have a way to tell you how to do each step of a task, in natural language. It’s a simple, repeatable task for humans, but for robots, it’s a combination of various small tasks.

“Rabbit’s Jesse Lyu on the Power of Startups: Thrive Quickly or Risk Failure, But Never Give Up”

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Rabbit co-founder and CEO Jesse Lyu isn’t afraid of death… the death of the company, at least. Rabbit’s r1, the pocket AI assistant that attracted considerable hype after its debut at CES, is certainly an original proposal. “We immediately tried using super-prompts to get this language model to do things, and the result was very miserable,” he recalled. “I mean, the first lesson I ever learned from Y Combinator two years ago, is that 99% of startups will die. I think it’s good to have this level of competition that’s only going to help us grow faster, or die faster, which is the nature of startups.

Utilizing AI to Educate in English: The Aspirations of Loora

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Of the professions in danger of being replaced by AI, language teacher is certainly up there. One of those is Loora, which leans on conversational AI to teach English to students. “The idea for Loora [came from] our frustration with language learning,” Mor told TechCrunch in an email interview. Quite a few English learning platforms offer features along those lines, including OpenAI-backed Speak, Preply (which recently doubled down on AI tech) and ELSA. Loora also intends to launch an enterprise service, broadening beyond its current customer base of 15,000 app users.

How a Conversation-Driven AI Strategy Helped a Startup Secure $8 Million from Regulated Industries

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As conversational AI begins to take over the world, chatbots are being given a new lease of life. Parcel delivery giant DPD recently had to disable part of its online support chatbot after it swore at a customer. The demand for conversational AI is skyrocketing, and is set to explode to a mind-boggling $38 billion globally by 2029. However, regulated sectors are still grappling with Natural Language Understanding (NLU) and Large Language Models (LLMs). While an LLM might be able to sound like a human and understand context, regulated industries need high guard rails on an AI-driven approach.

“Insights from 20 Years in the Language Learning Industry: Lessons from Babbel’s Co-Founder”

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What Babbel co-founder has learned over 20 years in the language learning industryWelcome back to Found, where we get the stories behind the startups. This week Becca and Dom are joined by Markus Witte, the co-founder of the language learning platform Babbel. Witte spoke to the duo about being early to the online language industry and how the company has survived these past 20 years of market disruption. Subscribe to Found to hear more stories from founders each week. Connect with us:On Twitter On Instagram Via email: found@techcrunch.comOr check out one of our sister podcasts:

“Revolutionizing Robot Training: Google’s Groundbreaking Methods Utilizing Video and Extensive Language Models”

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Google’s DeepMind Robotics researchers are one of a number of teams exploring the space’s potential. The newly announced AutoRT is designed to harness large foundational models, to a number of different ends. In a standard example given by the DeepMind team, the system begins by leveraging a Visual Language Model (VLM) for better situational awareness. A large language model, meanwhile, suggests tasks that can be accomplished by the hardware, including its end effector. LLMs are understood by many to be the key to unlocking robotics that effectively understand more natural language commands, reducing the need for hard-coding skills.

“Exploring the World of Robotics: A Conversation with UC Berkeley Professor Ken Goldberg”

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For the next few weeks, TechCrunch’s robotics newsletter Actuator will be running Q&As with some of the top minds in robotics. Large language models like ChatGPT can allow robots and humans to communicate in natural language. Robot “singularities” are a fundamental problem for all robot arms; they are very different from Kurzweil’s hypothetical point in time when AI surpasses humans. Robot singularities are points in space where a robot stops unexpectedly and must be manually reset by a human operator. For repetitive robot motions, singularities can be avoided by tedious manual fine-tuning of repetitive robot motions to adjust them such that they never encounter singularities.

Leveraging Large Language Models for Interacting with Agility’s Humanoid Robots

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I’ve spent much of the past year discussing generative AI and large language models with robotics experts. It’s become increasingly clear that these sorts of technologies are primed to revolutionize the way robots communicate, learn, look and are programmed. Well-funded Oregon-based startup Agility has been playing around with the tech for a while now using its bipedal robot, Digit. Agility notes, “Our innovation team developed this interactive demo to show how LLMs could make our robots more versatile and faster to deploy. MIT CSAIL’s Daniela Rus also recently told me, “It turns out that generative AI can be quite powerful for solving even motion planning problems.