Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

TechCrunch was proud to host TELUS Digital at Disrupt 2024 in San Francisco. Here’s an overview of their Roundtable session. Large language models (LLMs) have revolutionized AI, but their success ...

A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...

(RTTNews) - Apple (AAPL) recently shared the findings of its research paper titled "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training," showcasing a new approach in creating AI tools.

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...

Lilac AI’s suite of products when integrated with Databricks could help enterprises explore their unstructured data and use it to build generative AI applications. Data lakehouse provider Databricks ...