Browsing: management

print(“\nPART 5 ── Datasets & experiments ————————————–“) DATASET = “capital-cities-tutorial” langfuse.create_dataset(name=DATASET, description=”Capital-city QA benchmark”) _items = [ (“What is the capital of France?”, “Paris”), (“What is…

Running AI agents in a local script is straightforward. Running them reliably in production across teams, across restarts, with isolated environments per context is a different…

  # Introduction  Imagine signing up for an online course, clicking through 40 slides, passing a quiz you Googled your way through, and receiving a certificate. Did…

In the current AI landscape, the ‘context window’ has become a blunt instrument. We’ve been told that if we simply expand the memory of a frontier…

Over the past year, AI agents have evolved from merely answering questions to attempting to get real tasks done. However, a significant bottleneck has emerged: while…

If you’ve spend any meaningful time inside ChatGPT—brainstorming ideas, planning schedules, organizing your thoughts—you’ve probably felt the friction of having to move all that work into…

Image by Author   # How Colab Works  Google Colab is an incredibly powerful tool for data science, machine learning, and Python development. This is because it…

Without logs, it would be almost impossible to keep modern applications, cloud platforms, or customer-facing services running efficiently. Some might argue that logs are one of…

Productivity dies in siloes. Before you know it, your files are scattered everywhere, with version conflicts and discoverability issues abound. Maybe the file you need is…

Organizations managing hundreds of contracts annually face significant inefficiencies, with fragmented systems and complex workflows that require teams to spend hours on contract review cycles. This…