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BREAKING NEWS |
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AI Education |
Andrej Karpathy is launching a new AI Education company called Eureka labs |
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⇧ 22,042 Likes |
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What's New |
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Andrej Karpathy, former head of AI at Tesla and researcher at OpenAI, announced Eureka Labs, an AI-native education platform. Eureka Labs uses AI teaching assistants to complement teacher-designed course materials. This approach leverages generative AI to guide students through coursework, offering a scalable solution for personalized education.
Core Innovation and First Product
Eureka Labs' core innovation is its AI teaching assistants. The platform's first product, LLM101n, is an undergraduate-level course that trains students to build their own AI.
LLM101n
The course provides hands-on experience with AI models. Course materials will be available online, with both digital and physical cohorts. By the end of the course, participants will gain a deep understanding of AI, LLMs, and deep learning.
Vision and Educational Impact
Eureka Labs aims to expand education's reach and depth by making high-quality education accessible and scalable. AI teaching assistants will enhance the capabilities of human teachers, enabling anyone to learn a wide range of subjects efficiently.
Karpathy's Background and Expertise
Karpathy combines two decades of expertise in AI and education. He taught deep learning for computer vision at Stanford and worked on AI projects at Tesla and OpenAI. His notable contributions include the CS231n course at Stanford and the Neural Networks: Zero to Hero online course. |
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Start Selling to Enterprises with Just a Few Lines of Code |
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Implement features like single sign-on in minutes instead of months.
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WorkOS provides a complete User Management solution along with SSO, SCIM, RBAC, and audit trails.
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Modular and easy-to-use APIs allow integrations to be completed in minutes instead of months.
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Design and user experience are everything. From the quality of our documentation to how your users onboard, we remove all the unnecessary complexity for developers.
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Best of all, User Management is free up to 1 million MAUs.
WorkOS powers some of the fastest growing AI startups like Perplexity, Copy ai, Jasper, and Adept. |
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TRENDING SIGNALS |
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Language Models |
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Speech Recognition |
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Autonomous Development |
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⇧ 722 Likes |
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Prompts |
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Language Models |
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This AI does your grunt work |
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Village Labs’ AI synthesizes SaaS data to create personalized briefings and write status updates, freeing your team from tedious tasks and enabling focus on what matters most. |
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Free for 14 days ↗️ |
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PYTHON TIP |
Create dummy data using Python |
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Faker is a Python library that generates fake data for various use cases, such as testing and development. It can produce names, addresses, emails, texts, countries, and coordinates.
To use Faker, first install it via pip install faker. Then, import it and create a Faker instance. Use methods like fake.name(), fake.address(), and fake.email() to generate data.
Faker is particularly useful for populating databases, creating dummy data for demos, and obfuscating real data to protect privacy.
It simplifies the process of generating realistic, random data, making it easier to test and develop applications. |
!pip install faker
from faker import Faker
fake = Faker()
print(fake.name())
print(fake.address())
print(fake.email())
print(fake.country())
print(fake.latitude(), fake.longitude())
print(fake.url())
OUTPUT:
#Melinda Boyd
#87004 Michael Plaza Apt. 314
#South Donald, OR 96490
#Close might whom paper.
#cdixon@example.net
#Chad
#55.067759 -12.640189
#http://boone-hines.org/
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