In this talk, the authors share some of our company’s key learnings in developing customer-facing LLM-powered applications ...

AI coding assistants can boost productivity, but a human in the driver's seat is still essential. Here are eight ways to keep ...

New York City council data scientist says organisations should get their hands dirty with open source AI as his teams build ...

With a few hundred well-curated examples, an LLM can be trained for complex reasoning tasks that previously required thousands of instances.

Suppose an AI assistant fails to answer a question about current events or provides outdated information in a critical situation. This scenario, while increasingly rare, reflects the importance of ...

Despite the latest AI advancements, Large Language Models (LLMs) continue to face challenges in their integration into the ...

DeepSeek might have disrupted plenty of AI vendors, but Zoho wasn't one of them. If anything, DeepSeek's cost breakthroughs ...

Zencoder takes an innovative approach to code generation and repair, ‘grokking’ whole repos for context and using an ...

Tokenization is the first step toward transforming text into machine-friendly units. Karpathy touches on widely used ...

Every technological revolution has a defining moment when a specific use case propels the technology into widespread adoption. That time has come for generative AI (GenAI) with the rapid spread of ...

Relevance — delivering AI-search, generative, and business-aware relevance at every point-of-experience, today announced that ...

This article outlines and defines various practices used across the RAG pipeline—full-text search ... are shared with the LLM. Learn how to start building a RAG application RAG systems employ various ...