When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.

The journey of an LLM begins with the training process, which is like a crash course in language for the model. To get LLMs up to speed, they’re fed a mountain of data - everything from blogs ...

LONDON, Oct. 12, 2023 — TitanML has secured $2.8 million in pre-seed funding led by Octopus Ventures alongside deep tech-focused angel investors. The round is timed as the team publicly launches Titan ...

Common data challenges of model training. An end-to-end machine learning pipeline is a sequence of steps from data pre-processing and cleansing to model training to inference.

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

As a model grows, with additional layers of attention mechanism, this bias is amplified because earlier parts of the input are used more frequently in the model's reasoning process.