Scalable

on Real-World Problems is Hard Reinforcement learning looks straightforward in controlled settings: well-defined states, dense rewards, stationary dynamics, unlimited simulation. Most benchmark results are produced under those assumptions. Observations are partial and noisy, rewards...

I had just began experimenting with CrewAI and LangGraph, and it felt like I’d unlocked an entire latest dimension of constructing. Suddenly, I didn’t just have tools and pipelines — I had . I...

In a strategic push to cement its leadership in enterprise-ready artificial intelligence, Iterate.ai has raised $6.4 million in funding. The round is led by Auxier Asset Management and includes distinguished investors Peter Cobb, Mike Edwards,...

Many businesses struggle to adopt Artificial Intelligence (AI) as a result of high costs and technical complexity, making advanced models inaccessible to smaller organizations. DeepSeek-GRM addresses this challenge to enhance AI efficiency and accessibility,...

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching recent levels of intelligence and capability. From early neural networks to today’s advanced architectures like GPT-4, LLaMA, and other Large Language...

As enterprises worldwide race to implement AI, the shortage of expert technical talent poses a growing threat to innovation and scalability. Today, RapidCanvas announced a $16 million Series A funding round led by Peak...

The LLM-as-a-Judge framework is a scalable, automated alternative to human evaluations, which are sometimes costly, slow, and limited by the amount of responses they will feasibly assess. By utilizing an LLM to evaluate the...

Data Mesh trends in data platform designIn this text, I aim to delve into the varied kinds of data platform architectures, taking a greater take a look at their evolution, strengths, weaknesses, and practical...