
Andrej Karpathy's Shift from LLMs for Code to LLMs for Thought
Andrej Karpathy's workflow now involves using LLMs to compile, maintain, and evolve code, rather than just answering questions.
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Showing 12 results for "data science"

Andrej Karpathy's workflow now involves using LLMs to compile, maintain, and evolve code, rather than just answering questions.

When a packet reaches a router, it's not just a matter of forwarding it to its destination. Routers have to process the packet to ensure it's delivered correctly and efficiently.

After six years since the introduction of posits, John Gustafson has made a breakthrough with B-Posit, a new technology that promises to improve posit performance and revolutionize computer architecture.

In probabilistic systems, a 20% error may seem insignificant, but the real danger lies in being certain it's not there. This mindset can lead to catastrophic consequences, making it crucial to acknowledge and manage uncertainty.

Enterprises are building digital products that rely on real-time intelligence, making it crucial to connect, contextualize, and reason over data. Enterprise Knowledge Graphs (EKGs) have emerged as a foundational architecture for addressing this challenge, but scaling them to production-grade digital platforms remains complex.

Database JOIN operations are a crucial aspect of data retrieval, but have you ever wondered how they work internally? In this article, we'll explore the nested loop, hash join, and merge join algorithms that power these operations.

PostgreSQL's timezone handling can silently shift your data to the previous day, causing unexpected results. Learn how to avoid this issue by understanding the difference between timestamp and timestamptz data types.

In this article, we'll delve into the world of financial storytelling using data visualization, focusing on earnings data and post-earnings movements. We'll use FMP APIs to extract announcements, surprises, and price reactions across various sectors and market-cap buckets.

Managing database changes manually can lead to deployment headaches and team collaboration challenges. Liquibase solves this problem by defining database changes in code, which travel with the application repository and execute automatically.

A concerning incident has come to light in the AI research community, highlighting the importance of accountability and transparency in AI development.

I built a data seeding architecture that doesn't blow up in production by using idempotent seeds, avoiding N+1 tradeoffs, and implementing TDD guardrails.

Data migration, replication, and synchronization are critical tasks in the modern enterprise. Ensuring data integrity requires specialized tooling, which NineData's high-performance database replication engine provides.
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