Fierce Healthcare

Ensemble partners with Cohere to build first RCM-native large language model

Artificial intelligence in the revenue cycle management space is heating up as companies look to leverage the technology to ...
Nasdaq

Ginkgo Bioworks Launches New Protein LLM and Model API Built on Google Cloud Technology

Protein large language model (LLM) designed to help enterprises accelerate drug development coming to Google Cloud's Vertex AI Model Garden soon; one of the first-of-its-kind in the industry Model API ...

Keymakr launches new LLM suite with agent training data solutions and tools to support the next generation of AI systems

A new suite of tools and services address need for high-quality domain-specific datasets and human feedback pipelines ...
InfoQ

Hugging Face Upgrades Open LLM Leaderboard v2 for Enhanced AI Model Comparison

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. The panelists discuss the dramatic escalation ...
ascopubs.org

Investigating large language model (LLM) performance using in-context learning (ICL) for interpretation of ESMO and NCCN guidelines for lung cancer.

A prospective study comparing AI-based clinical trial eligibility screening with traditional EMR-based screening. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I. This abstract ...
ascopubs.org

Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research.

Computational pathology to predict docetaxel benefit for high-risk localized prostate cancer in NRG/RTOG 0521 (NCT00288080). Association of deep learning CT response assessment and interpretable ...
eWeek

9 Best Large Language Models For Your Tech Stack

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...
VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...

New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 ...