Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings and stock movements, while rarer events such as credit-rating changes, product…
When Model Context Protocol (MCP) tools underperform, the cause is rarely the protocol itself but the tool design. Many teams start by exposing an existing API as-is and trusting the…
The PyTorch Foundation, a community-driven hub for open source AI under the Linux Foundation, is announcing today that Shopify has joined as a Platinum member. Shopify provides essential internet infrastructure…
October 28, 2024 — Posted by the TensorFlow teamTensorFlow 2.18 has been released! Highlights of this release (and 2.17) include NumPy 2.0, LiteRT repository, CUDA Update, Hermetic CUDA and more….
In Part 2 of this series, we built a data structure that can query which pods have the user’s KVCache blocks in microseconds for every request. This post goes beyond…
At Databricks, the way we build software is changing quickly as we aggressively adopt AI for engineering. The landscape of models and harnesses for code authoring has rapidly expanded in…
You shipped an agent. It worked in the demo. In production, a user phrased a question differently than you expected and the agent fell apart. AI evaluation is supposed to…
Agentic systems often face a trade-off between accuracy and cost. The highest-performing proprietary frontier models and harnesses provide top accuracy but are expensive. Fine-tuning offers one way to address this…
In pharmaceutical research, scientists face a fundamental challenge: accessing and connecting the vast amount of scientific knowledge scattered across disparate systems. From published literature and internal lab notes to genomics…
Featured projects This past weekend in San Francisco, builders, researchers, mobile developers, and AI practitioners came together for the ExecuTorch Hackathon, a two-day, on-site event focused on a practical and…
